id	sid	tid	token	lemma	pos
ajst-31992	1	1	21	21	NUM
ajst-31992	1	2	a	a	DET
ajst-31992	1	3	review	review	NOUN
ajst-31992	1	4	of	of	ADP
ajst-31992	1	5	model	model	NOUN
ajst-31992	1	6	lightweighting	lightweighte	VERB
ajst-31992	1	7	techniques	technique	NOUN
ajst-31992	1	8	based	base	VERB
ajst-31992	1	9	on	on	ADP
ajst-31992	1	10	edge	edge	NOUN
ajst-31992	1	11	computing	compute	VERB
ajst-31992	1	12	jinrui	jinrui	PROPN
ajst-31992	1	13	liu	liu	PROPN
ajst-31992	1	14	*	*	PROPN
ajst-31992	1	15	nanjing	nanjing	PROPN
ajst-31992	1	16	university	university	PROPN
ajst-31992	1	17	of	of	ADP
ajst-31992	1	18	posts	post	NOUN
ajst-31992	1	19	and	and	CCONJ
ajst-31992	1	20	telecommunications	telecommunication	NOUN
ajst-31992	1	21	,	,	PUNCT
ajst-31992	1	22	nanjing	nanjing	PROPN
ajst-31992	1	23	,	,	PUNCT
ajst-31992	1	24	210046	210046	NUM
ajst-31992	1	25	,	,	PUNCT
ajst-31992	1	26	jiangsu	jiangsu	PROPN
ajst-31992	1	27	,	,	PUNCT
ajst-31992	1	28	china	china	PROPN
ajst-31992	1	29	*	*	PUNCT
ajst-31992	1	30	corresponding	correspond	VERB
ajst-31992	1	31	author	author	NOUN
ajst-31992	1	32	email	email	NOUN
ajst-31992	1	33	:	:	PUNCT
ajst-31992	1	34	p24000214@njupt.edu.cn	p24000214@njupt.edu.cn	PROPN
ajst-31992	1	35	abstract	abstract	NOUN
ajst-31992	1	36	.	.	PUNCT
ajst-31992	2	1	with	with	ADP
ajst-31992	2	2	the	the	DET
ajst-31992	2	3	booming	booming	ADJ
ajst-31992	2	4	development	development	NOUN
ajst-31992	2	5	of	of	ADP
ajst-31992	2	6	the	the	DET
ajst-31992	2	7	internet	internet	NOUN
ajst-31992	2	8	of	of	ADP
ajst-31992	2	9	things	thing	NOUN
ajst-31992	2	10	(	(	PUNCT
ajst-31992	2	11	iot	iot	NOUN
ajst-31992	2	12	)	)	PUNCT
ajst-31992	2	13	and	and	CCONJ
ajst-31992	2	14	the	the	DET
ajst-31992	2	15	wide	wide	ADJ
ajst-31992	2	16	application	application	NOUN
ajst-31992	2	17	of	of	ADP
ajst-31992	2	18	artificial	artificial	ADJ
ajst-31992	2	19	intelligence	intelligence	NOUN
ajst-31992	2	20	at	at	ADP
ajst-31992	2	21	the	the	DET
ajst-31992	2	22	edge	edge	NOUN
ajst-31992	2	23	,	,	PUNCT
ajst-31992	2	24	it	it	PRON
ajst-31992	2	25	has	have	AUX
ajst-31992	2	26	become	become	VERB
ajst-31992	2	27	an	an	DET
ajst-31992	2	28	inevitable	inevitable	ADJ
ajst-31992	2	29	trend	trend	NOUN
ajst-31992	2	30	for	for	ADP
ajst-31992	2	31	deep	deep	ADJ
ajst-31992	2	32	learning	learning	NOUN
ajst-31992	2	33	models	model	NOUN
ajst-31992	2	34	to	to	PART
ajst-31992	2	35	be	be	AUX
ajst-31992	2	36	deployed	deploy	VERB
ajst-31992	2	37	on	on	ADP
ajst-31992	2	38	resource	resource	NOUN
ajst-31992	2	39	-	-	PUNCT
ajst-31992	2	40	constrained	constrain	VERB
ajst-31992	2	41	edge	edge	NOUN
ajst-31992	2	42	devices	device	NOUN
ajst-31992	2	43	.	.	PUNCT
ajst-31992	3	1	model	model	NOUN
ajst-31992	3	2	lightweighting	lightweighting	NOUN
ajst-31992	3	3	techniques	technique	NOUN
ajst-31992	3	4	have	have	AUX
ajst-31992	3	5	made	make	VERB
ajst-31992	3	6	significant	significant	ADJ
ajst-31992	3	7	progress	progress	NOUN
ajst-31992	3	8	in	in	ADP
ajst-31992	3	9	the	the	DET
ajst-31992	3	10	past	past	ADJ
ajst-31992	3	11	five	five	NUM
ajst-31992	3	12	years	year	NOUN
ajst-31992	3	13	as	as	ADP
ajst-31992	3	14	a	a	DET
ajst-31992	3	15	solution	solution	NOUN
ajst-31992	3	16	to	to	ADP
ajst-31992	3	17	the	the	DET
ajst-31992	3	18	problem	problem	NOUN
ajst-31992	3	19	of	of	ADP
ajst-31992	3	20	limited	limited	ADJ
ajst-31992	3	21	computation	computation	NOUN
ajst-31992	3	22	,	,	PUNCT
ajst-31992	3	23	storage	storage	NOUN
ajst-31992	3	24	and	and	CCONJ
ajst-31992	3	25	power	power	NOUN
ajst-31992	3	26	consumption	consumption	NOUN
ajst-31992	3	27	resources	resource	NOUN
ajst-31992	3	28	in	in	ADP
ajst-31992	3	29	edge	edge	NOUN
ajst-31992	3	30	devices	device	NOUN
ajst-31992	3	31	.	.	PUNCT
ajst-31992	4	1	in	in	ADP
ajst-31992	4	2	this	this	DET
ajst-31992	4	3	paper	paper	NOUN
ajst-31992	4	4	,	,	PUNCT
ajst-31992	4	5	we	we	PRON
ajst-31992	4	6	systematically	systematically	ADV
ajst-31992	4	7	review	review	VERB
ajst-31992	4	8	the	the	DET
ajst-31992	4	9	research	research	NOUN
ajst-31992	4	10	on	on	ADP
ajst-31992	4	11	model	model	NOUN
ajst-31992	4	12	lightweighting	lightweighte	VERB
ajst-31992	4	13	techniques	technique	NOUN
ajst-31992	4	14	for	for	ADP
ajst-31992	4	15	edge	edge	NOUN
ajst-31992	4	16	computing	computing	NOUN
ajst-31992	4	17	in	in	ADP
ajst-31992	4	18	the	the	DET
ajst-31992	4	19	past	past	ADJ
ajst-31992	4	20	five	five	NUM
ajst-31992	4	21	years	year	NOUN
ajst-31992	4	22	(	(	PUNCT
ajst-31992	4	23	2020	2020	NUM
ajst-31992	4	24	-	-	SYM
ajst-31992	4	25	2025	2025	NUM
ajst-31992	4	26	)	)	PUNCT
ajst-31992	4	27	.	.	PUNCT
ajst-31992	5	1	in	in	ADP
ajst-31992	5	2	this	this	DET
ajst-31992	5	3	paper	paper	NOUN
ajst-31992	5	4	,	,	PUNCT
ajst-31992	5	5	the	the	DET
ajst-31992	5	6	mainstream	mainstream	ADJ
ajst-31992	5	7	lightweighting	lightweighting	ADJ
ajst-31992	5	8	methods	method	NOUN
ajst-31992	5	9	are	be	AUX
ajst-31992	5	10	classified	classify	VERB
ajst-31992	5	11	into	into	ADP
ajst-31992	5	12	two	two	NUM
ajst-31992	5	13	categories	category	NOUN
ajst-31992	5	14	:	:	PUNCT
ajst-31992	5	15	parametric	parametric	ADJ
ajst-31992	5	16	compression	compression	NOUN
ajst-31992	5	17	and	and	CCONJ
ajst-31992	5	18	structural	structural	ADJ
ajst-31992	5	19	compression	compression	NOUN
ajst-31992	5	20	based	base	VERB
ajst-31992	5	21	on	on	ADP
ajst-31992	5	22	the	the	DET
ajst-31992	5	23	core	core	ADJ
ajst-31992	5	24	idea	idea	NOUN
ajst-31992	5	25	of	of	ADP
ajst-31992	5	26	compression	compression	NOUN
ajst-31992	5	27	.	.	PUNCT
ajst-31992	6	1	parameter	parameter	NOUN
ajst-31992	6	2	compression	compression	NOUN
ajst-31992	6	3	focuses	focus	VERB
ajst-31992	6	4	on	on	ADP
ajst-31992	6	5	reducing	reduce	VERB
ajst-31992	6	6	redundant	redundant	ADJ
ajst-31992	6	7	parameters	parameter	NOUN
ajst-31992	6	8	,	,	PUNCT
ajst-31992	6	9	and	and	CCONJ
ajst-31992	6	10	focuses	focus	VERB
ajst-31992	6	11	on	on	ADP
ajst-31992	6	12	the	the	DET
ajst-31992	6	13	latest	late	ADJ
ajst-31992	6	14	breakthroughs	breakthrough	NOUN
ajst-31992	6	15	in	in	ADP
ajst-31992	6	16	the	the	DET
ajst-31992	6	17	directions	direction	NOUN
ajst-31992	6	18	of	of	ADP
ajst-31992	6	19	parameter	parameter	NOUN
ajst-31992	6	20	pruning	pruning	NOUN
ajst-31992	6	21	,	,	PUNCT
ajst-31992	6	22	parameter	parameter	NOUN
ajst-31992	6	23	quantization	quantization	NOUN
ajst-31992	6	24	,	,	PUNCT
ajst-31992	6	25	and	and	CCONJ
ajst-31992	6	26	parameter	parameter	NOUN
ajst-31992	6	27	sharing	sharing	NOUN
ajst-31992	6	28	,	,	PUNCT
ajst-31992	6	29	which	which	PRON
ajst-31992	6	30	significantly	significantly	ADV
ajst-31992	6	31	reduce	reduce	VERB
ajst-31992	6	32	the	the	DET
ajst-31992	6	33	model	model	NOUN
ajst-31992	6	34	size	size	NOUN
ajst-31992	6	35	and	and	CCONJ
ajst-31992	6	36	computation	computation	NOUN
ajst-31992	6	37	volume	volume	NOUN
ajst-31992	6	38	while	while	SCONJ
ajst-31992	6	39	effectively	effectively	ADV
ajst-31992	6	40	balancing	balance	VERB
ajst-31992	6	41	accuracy	accuracy	NOUN
ajst-31992	6	42	and	and	CCONJ
ajst-31992	6	43	hardware	hardware	NOUN
ajst-31992	6	44	friendliness	friendliness	PROPN
ajst-31992	6	45	.	.	PUNCT
ajst-31992	7	1	structural	structural	ADJ
ajst-31992	7	2	compression	compression	NOUN
ajst-31992	7	3	techniques	technique	NOUN
ajst-31992	7	4	,	,	PUNCT
ajst-31992	7	5	on	on	ADP
ajst-31992	7	6	the	the	DET
ajst-31992	7	7	other	other	ADJ
ajst-31992	7	8	hand	hand	NOUN
ajst-31992	7	9	,	,	PUNCT
ajst-31992	7	10	focus	focus	VERB
ajst-31992	7	11	on	on	ADP
ajst-31992	7	12	designing	design	VERB
ajst-31992	7	13	more	more	ADV
ajst-31992	7	14	efficient	efficient	ADJ
ajst-31992	7	15	network	network	NOUN
ajst-31992	7	16	architectures	architecture	NOUN
ajst-31992	7	17	,	,	PUNCT
ajst-31992	7	18	with	with	ADP
ajst-31992	7	19	an	an	DET
ajst-31992	7	20	in	in	ADP
ajst-31992	7	21	-	-	PUNCT
ajst-31992	7	22	depth	depth	NOUN
ajst-31992	7	23	discussion	discussion	NOUN
ajst-31992	7	24	of	of	ADP
ajst-31992	7	25	the	the	DET
ajst-31992	7	26	core	core	NOUN
ajst-31992	7	27	ideas	idea	NOUN
ajst-31992	7	28	and	and	CCONJ
ajst-31992	7	29	representative	representative	ADJ
ajst-31992	7	30	work	work	NOUN
ajst-31992	7	31	on	on	ADP
ajst-31992	7	32	compact	compact	ADJ
ajst-31992	7	33	network	network	NOUN
ajst-31992	7	34	design	design	NOUN
ajst-31992	7	35	and	and	CCONJ
ajst-31992	7	36	knowledge	knowledge	NOUN
ajst-31992	7	37	distillation	distillation	NOUN
ajst-31992	7	38	.	.	PUNCT
ajst-31992	8	1	then	then	ADV
ajst-31992	8	2	,	,	PUNCT
ajst-31992	8	3	examples	example	NOUN
ajst-31992	8	4	are	be	AUX
ajst-31992	8	5	given	give	VERB
ajst-31992	8	6	on	on	ADP
ajst-31992	8	7	the	the	DET
ajst-31992	8	8	application	application	NOUN
ajst-31992	8	9	scenarios	scenario	NOUN
ajst-31992	8	10	and	and	CCONJ
ajst-31992	8	11	key	key	ADJ
ajst-31992	8	12	challenges	challenge	NOUN
ajst-31992	8	13	of	of	ADP
ajst-31992	8	14	lightweight	lightweight	ADJ
ajst-31992	8	15	models	model	NOUN
ajst-31992	8	16	.	.	PUNCT
ajst-31992	9	1	finally	finally	ADV
ajst-31992	9	2	,	,	PUNCT
ajst-31992	9	3	future	future	ADJ
ajst-31992	9	4	research	research	NOUN
ajst-31992	9	5	directions	direction	NOUN
ajst-31992	9	6	for	for	ADP
ajst-31992	9	7	the	the	DET
ajst-31992	9	8	above	above	ADJ
ajst-31992	9	9	challenges	challenge	NOUN
ajst-31992	9	10	are	be	AUX
ajst-31992	9	11	envisioned	envision	VERB
ajst-31992	9	12	.	.	PUNCT
ajst-31992	10	1	keywords	keyword	NOUN
ajst-31992	10	2	:	:	PUNCT
ajst-31992	10	3	model	model	NOUN
ajst-31992	10	4	lightweighting	lightweighting	ADJ
ajst-31992	10	5	edge	edge	NOUN
ajst-31992	10	6	computing	compute	VERB
ajst-31992	10	7	resource	resource	NOUN
ajst-31992	10	8	-	-	PUNCT
ajst-31992	10	9	constrained	constrain	VERB
ajst-31992	10	10	devices	device	NOUN
ajst-31992	10	11	.	.	PUNCT
ajst-31992	11	1	1	1	X
ajst-31992	11	2	.	.	X
ajst-31992	11	3	introduction	introduction	NOUN
ajst-31992	11	4	over	over	ADP
ajst-31992	11	5	the	the	DET
ajst-31992	11	6	past	past	ADJ
ajst-31992	11	7	decade	decade	NOUN
ajst-31992	11	8	,	,	PUNCT
ajst-31992	11	9	the	the	DET
ajst-31992	11	10	internet	internet	NOUN
ajst-31992	11	11	of	of	ADP
ajst-31992	11	12	things	thing	NOUN
ajst-31992	11	13	(	(	PUNCT
ajst-31992	11	14	iot	iot	NOUN
ajst-31992	11	15	)	)	PUNCT
ajst-31992	11	16	has	have	AUX
ajst-31992	11	17	gained	gain	VERB
ajst-31992	11	18	significant	significant	ADJ
ajst-31992	11	19	traction	traction	NOUN
ajst-31992	11	20	,	,	PUNCT
ajst-31992	11	21	and	and	CCONJ
ajst-31992	11	22	artificial	artificial	ADJ
ajst-31992	11	23	intelligence	intelligence	NOUN
ajst-31992	11	24	(	(	PUNCT
ajst-31992	11	25	ai	ai	NOUN
ajst-31992	11	26	)	)	PUNCT
ajst-31992	11	27	has	have	AUX
ajst-31992	11	28	become	become	VERB
ajst-31992	11	29	even	even	ADV
ajst-31992	11	30	more	more	ADV
ajst-31992	11	31	widely	widely	ADV
ajst-31992	11	32	used	use	VERB
ajst-31992	11	33	.	.	PUNCT
ajst-31992	12	1	the	the	DET
ajst-31992	12	2	previous	previous	ADJ
ajst-31992	12	3	approach	approach	NOUN
ajst-31992	12	4	of	of	ADP
ajst-31992	12	5	sending	send	VERB
ajst-31992	12	6	large	large	ADJ
ajst-31992	12	7	-	-	PUNCT
ajst-31992	12	8	scale	scale	NOUN
ajst-31992	12	9	edge	edge	NOUN
ajst-31992	12	10	data	datum	NOUN
ajst-31992	12	11	to	to	ADP
ajst-31992	12	12	the	the	DET
ajst-31992	12	13	cloud	cloud	NOUN
ajst-31992	12	14	and	and	CCONJ
ajst-31992	12	15	processing	processing	NOUN
ajst-31992	12	16	it	it	PRON
ajst-31992	12	17	has	have	AUX
ajst-31992	12	18	increasingly	increasingly	ADV
ajst-31992	12	19	shown	show	VERB
ajst-31992	12	20	its	its	PRON
ajst-31992	12	21	limitations	limitation	NOUN
ajst-31992	12	22	in	in	ADP
ajst-31992	12	23	terms	term	NOUN
ajst-31992	12	24	of	of	ADP
ajst-31992	12	25	latency	latency	NOUN
ajst-31992	12	26	,	,	PUNCT
ajst-31992	12	27	bandwidth	bandwidth	NOUN
ajst-31992	12	28	,	,	PUNCT
ajst-31992	12	29	privacy	privacy	NOUN
ajst-31992	12	30	,	,	PUNCT
ajst-31992	12	31	and	and	CCONJ
ajst-31992	12	32	other	other	ADJ
ajst-31992	12	33	issues	issue	NOUN
ajst-31992	12	34	.	.	PUNCT
ajst-31992	13	1	it	it	PRON
ajst-31992	13	2	has	have	AUX
ajst-31992	13	3	become	become	VERB
ajst-31992	13	4	an	an	DET
ajst-31992	13	5	inevitable	inevitable	ADJ
ajst-31992	13	6	trend	trend	NOUN
ajst-31992	13	7	to	to	PART
ajst-31992	13	8	install	install	VERB
ajst-31992	13	9	deep	deep	ADJ
ajst-31992	13	10	learning	learning	NOUN
ajst-31992	13	11	models	model	NOUN
ajst-31992	13	12	directly	directly	ADV
ajst-31992	13	13	onto	onto	ADP
ajst-31992	13	14	edge	edge	NOUN
ajst-31992	13	15	devices	device	NOUN
ajst-31992	13	16	for	for	ADP
ajst-31992	13	17	local	local	ADJ
ajst-31992	13	18	computation	computation	NOUN
ajst-31992	13	19	.	.	PUNCT
ajst-31992	14	1	however	however	ADV
ajst-31992	14	2	,	,	PUNCT
ajst-31992	14	3	edge	edge	NOUN
ajst-31992	14	4	devices	device	NOUN
ajst-31992	14	5	(	(	PUNCT
ajst-31992	14	6	cell	cell	NOUN
ajst-31992	14	7	phones	phone	NOUN
ajst-31992	14	8	,	,	PUNCT
ajst-31992	14	9	sensors	sensor	NOUN
ajst-31992	14	10	,	,	PUNCT
ajst-31992	14	11	automotive	automotive	ADJ
ajst-31992	14	12	computing	computing	NOUN
ajst-31992	14	13	platforms	platform	NOUN
ajst-31992	14	14	)	)	PUNCT
ajst-31992	14	15	are	be	AUX
ajst-31992	14	16	greatly	greatly	ADV
ajst-31992	14	17	affected	affect	VERB
ajst-31992	14	18	by	by	ADP
ajst-31992	14	19	resource	resource	NOUN
ajst-31992	14	20	constraints	constraint	NOUN
ajst-31992	14	21	,	,	PUNCT
ajst-31992	14	22	computing	computing	NOUN
ajst-31992	14	23	power	power	NOUN
ajst-31992	14	24	,	,	PUNCT
ajst-31992	14	25	memory	memory	NOUN
ajst-31992	14	26	capacity	capacity	NOUN
ajst-31992	14	27	,	,	PUNCT
ajst-31992	14	28	storage	storage	NOUN
ajst-31992	14	29	space	space	NOUN
ajst-31992	14	30	and	and	CCONJ
ajst-31992	14	31	power	power	NOUN
ajst-31992	14	32	consumption	consumption	NOUN
ajst-31992	14	33	are	be	AUX
ajst-31992	14	34	constraints	constraint	NOUN
ajst-31992	14	35	,	,	PUNCT
ajst-31992	14	36	and	and	CCONJ
ajst-31992	14	37	large	large	ADJ
ajst-31992	14	38	-	-	PUNCT
ajst-31992	14	39	scale	scale	NOUN
ajst-31992	14	40	deep	deep	ADJ
ajst-31992	14	41	learning	learning	NOUN
ajst-31992	14	42	models	model	NOUN
ajst-31992	14	43	have	have	VERB
ajst-31992	14	44	huge	huge	ADJ
ajst-31992	14	45	parameters	parameter	NOUN
ajst-31992	14	46	and	and	CCONJ
ajst-31992	14	47	computation	computation	NOUN
ajst-31992	14	48	volume	volume	NOUN
ajst-31992	14	49	,	,	PUNCT
ajst-31992	14	50	which	which	PRON
ajst-31992	14	51	can	can	AUX
ajst-31992	14	52	not	not	PART
ajst-31992	14	53	meet	meet	VERB
ajst-31992	14	54	the	the	DET
ajst-31992	14	55	above	above	ADJ
ajst-31992	14	56	constraints	constraint	NOUN
ajst-31992	14	57	,	,	PUNCT
ajst-31992	14	58	and	and	CCONJ
ajst-31992	14	59	thus	thus	ADV
ajst-31992	14	60	,	,	PUNCT
ajst-31992	14	61	without	without	ADP
ajst-31992	14	62	significantly	significantly	ADV
ajst-31992	14	63	weakening	weaken	VERB
ajst-31992	14	64	the	the	DET
ajst-31992	14	65	performance	performance	NOUN
ajst-31992	14	66	of	of	ADP
ajst-31992	14	67	the	the	DET
ajst-31992	14	68	model	model	NOUN
ajst-31992	14	69	on	on	ADP
ajst-31992	14	70	the	the	DET
ajst-31992	14	71	premise	premise	NOUN
ajst-31992	14	72	of	of	ADP
ajst-31992	14	73	the	the	DET
ajst-31992	14	74	model	model	NOUN
ajst-31992	14	75	lightweight	lightweight	NOUN
ajst-31992	14	76	to	to	PART
ajst-31992	14	77	meet	meet	VERB
ajst-31992	14	78	the	the	DET
ajst-31992	14	79	edge	edge	NOUN
ajst-31992	14	80	environment	environment	NOUN
ajst-31992	14	81	has	have	AUX
ajst-31992	14	82	become	become	VERB
ajst-31992	14	83	a	a	DET
ajst-31992	14	84	trend	trend	NOUN
ajst-31992	14	85	.	.	PUNCT
ajst-31992	15	1	although	although	SCONJ
ajst-31992	15	2	there	there	PRON
ajst-31992	15	3	are	be	VERB
ajst-31992	15	4	some	some	DET
ajst-31992	15	5	review	review	NOUN
ajst-31992	15	6	articles	article	NOUN
ajst-31992	15	7	on	on	ADP
ajst-31992	15	8	edge	edge	NOUN
ajst-31992	15	9	-	-	PUNCT
ajst-31992	15	10	oriented	orient	VERB
ajst-31992	15	11	deployment	deployment	NOUN
ajst-31992	15	12	or	or	CCONJ
ajst-31992	15	13	model	model	NOUN
ajst-31992	15	14	compression	compression	NOUN
ajst-31992	15	15	[	[	X
ajst-31992	15	16	1	1	NUM
ajst-31992	15	17	,	,	PUNCT
ajst-31992	15	18	2	2	NUM
ajst-31992	15	19	]	]	PUNCT
ajst-31992	15	20	,	,	PUNCT
ajst-31992	15	21	some	some	PRON
ajst-31992	15	22	of	of	ADP
ajst-31992	15	23	the	the	DET
ajst-31992	15	24	references	reference	NOUN
ajst-31992	15	25	are	be	AUX
ajst-31992	15	26	old	old	ADJ
ajst-31992	15	27	[	[	X
ajst-31992	15	28	1	1	NUM
ajst-31992	15	29	]	]	PUNCT
ajst-31992	15	30	,	,	PUNCT
ajst-31992	15	31	or	or	CCONJ
ajst-31992	15	32	they	they	PRON
ajst-31992	15	33	have	have	AUX
ajst-31992	15	34	not	not	PART
ajst-31992	15	35	sorted	sort	VERB
ajst-31992	15	36	out	out	ADP
ajst-31992	15	37	and	and	CCONJ
ajst-31992	15	38	categorized	categorize	VERB
ajst-31992	15	39	the	the	DET
ajst-31992	15	40	related	relate	VERB
ajst-31992	15	41	technologies	technology	NOUN
ajst-31992	15	42	of	of	ADP
ajst-31992	15	43	lightweighting	lightweighte	VERB
ajst-31992	15	44	in	in	ADP
ajst-31992	15	45	edge	edge	NOUN
ajst-31992	15	46	computing	computing	NOUN
ajst-31992	15	47	in	in	ADP
ajst-31992	15	48	the	the	DET
ajst-31992	15	49	recent	recent	ADJ
ajst-31992	15	50	years	year	NOUN
ajst-31992	16	1	[	[	X
ajst-31992	16	2	2	2	NUM
ajst-31992	16	3	]	]	PUNCT
ajst-31992	16	4	,	,	PUNCT
ajst-31992	16	5	and	and	CCONJ
ajst-31992	16	6	this	this	DET
ajst-31992	16	7	paper	paper	NOUN
ajst-31992	16	8	is	be	AUX
ajst-31992	16	9	written	write	VERB
ajst-31992	16	10	to	to	PART
ajst-31992	16	11	address	address	VERB
ajst-31992	16	12	the	the	DET
ajst-31992	16	13	research	research	NOUN
ajst-31992	16	14	gaps	gap	NOUN
ajst-31992	16	15	,	,	PUNCT
ajst-31992	16	16	focusing	focus	VERB
ajst-31992	16	17	on	on	ADP
ajst-31992	16	18	the	the	DET
ajst-31992	16	19	model	model	NOUN
ajst-31992	16	20	lightweighting	lightweighte	VERB
ajst-31992	16	21	for	for	ADP
ajst-31992	16	22	edge	edge	NOUN
ajst-31992	16	23	computing	computing	NOUN
ajst-31992	16	24	in	in	ADP
ajst-31992	16	25	the	the	DET
ajst-31992	16	26	recent	recent	ADJ
ajst-31992	16	27	5	5	NUM
ajst-31992	16	28	years	year	NOUN
ajst-31992	16	29	(	(	PUNCT
ajst-31992	16	30	2020	2020	NUM
ajst-31992	16	31	-	-	SYM
ajst-31992	16	32	2025	2025	NUM
ajst-31992	16	33	)	)	PUNCT
ajst-31992	16	34	.	.	PUNCT
ajst-31992	17	1	this	this	DET
ajst-31992	17	2	paper	paper	NOUN
ajst-31992	17	3	addresses	address	VERB
ajst-31992	17	4	this	this	DET
ajst-31992	17	5	research	research	NOUN
ajst-31992	17	6	gap	gap	NOUN
ajst-31992	17	7	and	and	CCONJ
ajst-31992	17	8	focuses	focus	VERB
ajst-31992	17	9	on	on	ADP
ajst-31992	17	10	the	the	DET
ajst-31992	17	11	research	research	NOUN
ajst-31992	17	12	progress	progress	NOUN
ajst-31992	17	13	of	of	ADP
ajst-31992	17	14	model	model	NOUN
ajst-31992	17	15	lightweighting	lightweighte	VERB
ajst-31992	17	16	techniques	technique	NOUN
ajst-31992	17	17	for	for	ADP
ajst-31992	17	18	edge	edge	NOUN
ajst-31992	17	19	computing	computing	NOUN
ajst-31992	17	20	in	in	ADP
ajst-31992	17	21	the	the	DET
ajst-31992	17	22	last	last	ADJ
ajst-31992	17	23	5	5	NUM
ajst-31992	17	24	years	year	NOUN
ajst-31992	17	25	(	(	PUNCT
ajst-31992	17	26	2020	2020	NUM
ajst-31992	17	27	-	-	SYM
ajst-31992	17	28	2025	2025	NUM
ajst-31992	17	29	)	)	PUNCT
ajst-31992	17	30	.	.	PUNCT
ajst-31992	18	1	the	the	DET
ajst-31992	18	2	paper	paper	NOUN
ajst-31992	18	3	is	be	AUX
ajst-31992	18	4	structured	structure	VERB
ajst-31992	18	5	as	as	SCONJ
ajst-31992	18	6	follows	follow	VERB
ajst-31992	18	7	:	:	PUNCT
ajst-31992	18	8	chapter	chapter	NOUN
ajst-31992	18	9	2	2	NUM
ajst-31992	18	10	summarizes	summarize	NOUN
ajst-31992	18	11	and	and	CCONJ
ajst-31992	18	12	reviews	review	VERB
ajst-31992	18	13	the	the	DET
ajst-31992	18	14	mainstream	mainstream	ADJ
ajst-31992	18	15	lightweighting	lightweighting	ADJ
ajst-31992	18	16	methods	method	NOUN
ajst-31992	18	17	from	from	ADP
ajst-31992	18	18	the	the	DET
ajst-31992	18	19	perspective	perspective	NOUN
ajst-31992	18	20	of	of	ADP
ajst-31992	18	21	compression	compression	NOUN
ajst-31992	18	22	,	,	PUNCT
ajst-31992	18	23	chapter	chapter	NOUN
ajst-31992	18	24	3	3	NUM
ajst-31992	18	25	elucidates	elucidate	VERB
ajst-31992	18	26	the	the	DET
ajst-31992	18	27	typical	typical	ADJ
ajst-31992	18	28	edge	edge	NOUN
ajst-31992	18	29	application	application	NOUN
ajst-31992	18	30	scenarios	scenario	NOUN
ajst-31992	18	31	of	of	ADP
ajst-31992	18	32	lightweight	lightweight	ADJ
ajst-31992	18	33	models	model	NOUN
ajst-31992	18	34	,	,	PUNCT
ajst-31992	18	35	chapter	chapter	NOUN
ajst-31992	18	36	4	4	NUM
ajst-31992	18	37	summarizes	summarize	VERB
ajst-31992	18	38	the	the	DET
ajst-31992	18	39	key	key	ADJ
ajst-31992	18	40	challenges	challenge	NOUN
ajst-31992	18	41	,	,	PUNCT
ajst-31992	18	42	and	and	CCONJ
ajst-31992	18	43	chapter	chapter	NOUN
ajst-31992	18	44	5	5	NUM
ajst-31992	18	45	discusses	discuss	VERB
ajst-31992	18	46	the	the	DET
ajst-31992	18	47	future	future	ADJ
ajst-31992	18	48	directions	direction	NOUN
ajst-31992	18	49	.	.	PUNCT
ajst-31992	19	1	see	see	VERB
ajst-31992	19	2	figure	figure	NOUN
ajst-31992	19	3	1	1	NUM
ajst-31992	19	4	for	for	ADP
ajst-31992	19	5	details	detail	NOUN
ajst-31992	19	6	.	.	PUNCT
ajst-31992	20	1	https://www.youbianku.com/210046	https://www.youbianku.com/210046	PROPN
ajst-31992	20	2	mailto:p24000214@njupt.edu.cn	mailto:p24000214@njupt.edu.cn	PROPN
ajst-31992	20	3	22	22	NUM
ajst-31992	20	4	fig	fig	NOUN
ajst-31992	20	5	.	.	PUNCT
ajst-31992	21	1	1	1	NUM
ajst-31992	21	2	structure	structure	NOUN
ajst-31992	21	3	of	of	ADP
ajst-31992	21	4	paper	paper	NOUN
ajst-31992	21	5	2	2	NUM
ajst-31992	21	6	.	.	PUNCT
ajst-31992	21	7	classification	classification	NOUN
ajst-31992	21	8	of	of	ADP
ajst-31992	21	9	model	model	NOUN
ajst-31992	21	10	lightweighting	lightweighting	ADJ
ajst-31992	21	11	methods	method	NOUN
ajst-31992	21	12	here	here	ADV
ajst-31992	21	13	,	,	PUNCT
ajst-31992	21	14	model	model	NOUN
ajst-31992	21	15	lightweighting	lightweighting	ADJ
ajst-31992	21	16	methods	method	NOUN
ajst-31992	21	17	mainly	mainly	ADV
ajst-31992	21	18	include	include	VERB
ajst-31992	21	19	hardware	hardware	NOUN
ajst-31992	21	20	adaptation	adaptation	NOUN
ajst-31992	21	21	optimization	optimization	NOUN
ajst-31992	21	22	and	and	CCONJ
ajst-31992	21	23	compression	compression	NOUN
ajst-31992	21	24	and	and	CCONJ
ajst-31992	21	25	acceleration	acceleration	NOUN
ajst-31992	21	26	methods	method	NOUN
ajst-31992	21	27	for	for	ADP
ajst-31992	21	28	the	the	DET
ajst-31992	21	29	model	model	NOUN
ajst-31992	21	30	itself	itself	PRON
ajst-31992	21	31	,	,	PUNCT
ajst-31992	21	32	and	and	CCONJ
ajst-31992	21	33	this	this	DET
ajst-31992	21	34	paper	paper	NOUN
ajst-31992	21	35	classifies	classify	VERB
ajst-31992	21	36	the	the	DET
ajst-31992	21	37	compression	compression	NOUN
ajst-31992	21	38	and	and	CCONJ
ajst-31992	21	39	acceleration	acceleration	NOUN
ajst-31992	21	40	methods	method	NOUN
ajst-31992	21	41	for	for	ADP
ajst-31992	21	42	the	the	DET
ajst-31992	21	43	model	model	NOUN
ajst-31992	21	44	itself	itself	PRON
ajst-31992	21	45	.	.	PUNCT
ajst-31992	22	1	based	base	VERB
ajst-31992	22	2	on	on	ADP
ajst-31992	22	3	the	the	DET
ajst-31992	22	4	research	research	NOUN
ajst-31992	22	5	paper	paper	NOUN
ajst-31992	22	6	,	,	PUNCT
ajst-31992	22	7	this	this	DET
ajst-31992	22	8	paper	paper	NOUN
ajst-31992	22	9	classifies	classify	VERB
ajst-31992	22	10	the	the	DET
ajst-31992	22	11	compression	compression	NOUN
ajst-31992	22	12	methods	method	NOUN
ajst-31992	22	13	of	of	ADP
ajst-31992	22	14	deep	deep	ADJ
ajst-31992	22	15	learning	learning	NOUN
ajst-31992	22	16	models	model	NOUN
ajst-31992	22	17	into	into	ADP
ajst-31992	22	18	three	three	NUM
ajst-31992	22	19	categories	category	NOUN
ajst-31992	22	20	according	accord	VERB
ajst-31992	22	21	to	to	ADP
ajst-31992	22	22	the	the	DET
ajst-31992	22	23	compression	compression	NOUN
ajst-31992	22	24	idea	idea	NOUN
ajst-31992	22	25	:	:	PUNCT
ajst-31992	22	26	compression	compression	NOUN
ajst-31992	22	27	parameters	parameter	NOUN
ajst-31992	22	28	and	and	CCONJ
ajst-31992	22	29	compression	compression	NOUN
ajst-31992	22	30	structure	structure	NOUN
ajst-31992	22	31	and	and	CCONJ
ajst-31992	22	32	hybrid	hybrid	ADJ
ajst-31992	22	33	methods	method	NOUN
ajst-31992	22	34	.	.	PUNCT
ajst-31992	23	1	2.1	2.1	NUM
ajst-31992	23	2	.	.	PUNCT
ajst-31992	24	1	compression	compression	NOUN
ajst-31992	24	2	parameters	parameter	NOUN
ajst-31992	24	3	compression	compression	NOUN
ajst-31992	24	4	parameters	parameter	NOUN
ajst-31992	24	5	that	that	PRON
ajst-31992	24	6	are	be	AUX
ajst-31992	24	7	to	to	ADP
ajst-31992	24	8	zero	zero	NUM
ajst-31992	24	9	,	,	PUNCT
ajst-31992	24	10	mapping	mapping	NOUN
ajst-31992	24	11	,	,	PUNCT
ajst-31992	24	12	sharing	sharing	NOUN
ajst-31992	24	13	and	and	CCONJ
ajst-31992	24	14	other	other	ADJ
ajst-31992	24	15	ways	way	NOUN
ajst-31992	24	16	to	to	PART
ajst-31992	24	17	reduce	reduce	VERB
ajst-31992	24	18	redundant	redundant	ADJ
ajst-31992	24	19	parameters	parameter	NOUN
ajst-31992	24	20	,	,	PUNCT
ajst-31992	24	21	in	in	ADP
ajst-31992	24	22	order	order	NOUN
ajst-31992	24	23	to	to	PART
ajst-31992	24	24	achieve	achieve	VERB
ajst-31992	24	25	the	the	DET
ajst-31992	24	26	purpose	purpose	NOUN
ajst-31992	24	27	of	of	ADP
ajst-31992	24	28	preventing	prevent	VERB
ajst-31992	24	29	overfitting	overfitting	NOUN
ajst-31992	24	30	,	,	PUNCT
ajst-31992	24	31	reducing	reduce	VERB
ajst-31992	24	32	the	the	DET
ajst-31992	24	33	overhead	overhead	NOUN
ajst-31992	24	34	of	of	ADP
ajst-31992	24	35	storage	storage	NOUN
ajst-31992	24	36	and	and	CCONJ
ajst-31992	24	37	computation	computation	NOUN
ajst-31992	24	38	.	.	PUNCT
ajst-31992	25	1	compressed	compress	VERB
ajst-31992	25	2	parameters	parameter	NOUN
ajst-31992	25	3	include	include	VERB
ajst-31992	25	4	:	:	PUNCT
ajst-31992	25	5	parameter	parameter	NOUN
ajst-31992	25	6	pruning	pruning	NOUN
ajst-31992	25	7	,	,	PUNCT
ajst-31992	25	8	parameter	parameter	NOUN
ajst-31992	25	9	quantization	quantization	NOUN
ajst-31992	25	10	,	,	PUNCT
ajst-31992	25	11	parameter	parameter	NOUN
ajst-31992	25	12	sharing	sharing	NOUN
ajst-31992	25	13	,	,	PUNCT
ajst-31992	25	14	and	and	CCONJ
ajst-31992	25	15	low	low	ADJ
ajst-31992	25	16	-	-	PUNCT
ajst-31992	25	17	rank	rank	NOUN
ajst-31992	25	18	decomposition	decomposition	NOUN
ajst-31992	25	19	.	.	PUNCT
ajst-31992	26	1	since	since	SCONJ
ajst-31992	26	2	the	the	DET
ajst-31992	26	3	past	past	ADJ
ajst-31992	26	4	research	research	NOUN
ajst-31992	26	5	on	on	ADP
ajst-31992	26	6	low	low	ADJ
ajst-31992	26	7	-	-	PUNCT
ajst-31992	26	8	rank	rank	NOUN
ajst-31992	26	9	decomposition	decomposition	NOUN
ajst-31992	26	10	has	have	AUX
ajst-31992	26	11	been	be	AUX
ajst-31992	26	12	quite	quite	ADV
ajst-31992	26	13	mature	mature	ADJ
ajst-31992	26	14	,	,	PUNCT
ajst-31992	26	15	coupled	couple	VERB
ajst-31992	26	16	with	with	ADP
ajst-31992	26	17	the	the	DET
ajst-31992	26	18	wide	wide	ADJ
ajst-31992	26	19	application	application	NOUN
ajst-31992	26	20	of	of	ADP
ajst-31992	26	21	1×1	1×1	NUM
ajst-31992	26	22	convolution	convolution	NOUN
ajst-31992	26	23	,	,	PUNCT
ajst-31992	26	24	such	such	ADJ
ajst-31992	26	25	small	small	ADJ
ajst-31992	26	26	convolution	convolution	NOUN
ajst-31992	26	27	kernels	kernel	NOUN
ajst-31992	26	28	are	be	AUX
ajst-31992	26	29	not	not	PART
ajst-31992	26	30	favorable	favorable	ADJ
ajst-31992	26	31	for	for	ADP
ajst-31992	26	32	using	use	VERB
ajst-31992	26	33	low	low	ADJ
ajst-31992	26	34	-	-	PUNCT
ajst-31992	26	35	rank	rank	NOUN
ajst-31992	26	36	decomposition	decomposition	NOUN
ajst-31992	26	37	methods	method	NOUN
ajst-31992	26	38	,	,	PUNCT
ajst-31992	26	39	and	and	CCONJ
ajst-31992	26	40	thus	thus	ADV
ajst-31992	26	41	there	there	PRON
ajst-31992	26	42	is	be	VERB
ajst-31992	26	43	less	less	ADV
ajst-31992	26	44	related	related	ADJ
ajst-31992	26	45	literature	literature	NOUN
ajst-31992	26	46	in	in	ADP
ajst-31992	26	47	the	the	DET
ajst-31992	26	48	past	past	ADJ
ajst-31992	26	49	five	five	NUM
ajst-31992	26	50	years	year	NOUN
ajst-31992	26	51	,	,	PUNCT
ajst-31992	26	52	so	so	SCONJ
ajst-31992	26	53	we	we	PRON
ajst-31992	26	54	will	will	AUX
ajst-31992	26	55	not	not	PART
ajst-31992	26	56	go	go	VERB
ajst-31992	26	57	into	into	ADP
ajst-31992	26	58	details	detail	NOUN
ajst-31992	26	59	here	here	ADV
ajst-31992	26	60	.	.	PUNCT
ajst-31992	27	1	parameter	parameter	NOUN
ajst-31992	27	2	pruning	pruning	NOUN
ajst-31992	27	3	is	be	AUX
ajst-31992	27	4	the	the	DET
ajst-31992	27	5	process	process	NOUN
ajst-31992	27	6	of	of	ADP
ajst-31992	27	7	formulating	formulate	VERB
ajst-31992	27	8	evaluation	evaluation	NOUN
ajst-31992	27	9	criteria	criterion	NOUN
ajst-31992	27	10	for	for	ADP
ajst-31992	27	11	network	network	NOUN
ajst-31992	27	12	parameters	parameter	NOUN
ajst-31992	27	13	based	base	VERB
ajst-31992	27	14	on	on	ADP
ajst-31992	27	15	a	a	DET
ajst-31992	27	16	pre	pre	ADJ
ajst-31992	27	17	-	-	ADJ
ajst-31992	27	18	trained	train	VERB
ajst-31992	27	19	large	large	ADJ
ajst-31992	27	20	-	-	PUNCT
ajst-31992	27	21	scale	scale	NOUN
ajst-31992	27	22	model	model	NOUN
ajst-31992	27	23	and	and	CCONJ
ajst-31992	27	24	trimming	trim	VERB
ajst-31992	27	25	redundant	redundant	ADJ
ajst-31992	27	26	parameters	parameter	NOUN
ajst-31992	27	27	based	base	VERB
ajst-31992	27	28	on	on	ADP
ajst-31992	27	29	these	these	DET
ajst-31992	27	30	criteria.rheey	criteria.rheey	PROPN
ajst-31992	27	31	et	et	NOUN
ajst-31992	27	32	al	al	PROPN
ajst-31992	27	33	.	.	PROPN
ajst-31992	27	34	showed	show	VERB
ajst-31992	27	35	that	that	SCONJ
ajst-31992	27	36	the	the	DET
ajst-31992	27	37	shapley	shapley	NOUN
ajst-31992	27	38	value	value	NOUN
ajst-31992	27	39	-	-	PUNCT
ajst-31992	27	40	based	base	VERB
ajst-31992	27	41	layer	layer	NOUN
ajst-31992	27	42	pruning	prune	VERB
ajst-31992	27	43	method	method	NOUN
ajst-31992	27	44	,	,	PUNCT
ajst-31992	27	45	sv	sv	NOUN
ajst-31992	27	46	-	-	PUNCT
ajst-31992	27	47	sae	sae	PROPN
ajst-31992	27	48	,	,	PUNCT
ajst-31992	27	49	achieves	achieve	VERB
ajst-31992	27	50	high	high	ADJ
ajst-31992	27	51	accuracy	accuracy	NOUN
ajst-31992	27	52	with	with	ADP
ajst-31992	27	53	a	a	DET
ajst-31992	27	54	small	small	ADJ
ajst-31992	27	55	number	number	NOUN
ajst-31992	27	56	of	of	ADP
ajst-31992	27	57	connections	connection	NOUN
ajst-31992	27	58	retained	retain	VERB
ajst-31992	27	59	,	,	PUNCT
ajst-31992	27	60	and	and	CCONJ
ajst-31992	27	61	minimal	minimal	ADJ
ajst-31992	27	62	performance	performance	NOUN
ajst-31992	27	63	loss	loss	NOUN
ajst-31992	27	64	at	at	ADP
ajst-31992	27	65	high	high	ADJ
ajst-31992	27	66	sparsity	sparsity	NOUN
ajst-31992	27	67	rates	rate	NOUN
ajst-31992	27	68	.	.	PUNCT
ajst-31992	28	1	in	in	ADP
ajst-31992	28	2	addition	addition	NOUN
ajst-31992	28	3	to	to	ADP
ajst-31992	28	4	assessing	assess	VERB
ajst-31992	28	5	the	the	DET
ajst-31992	28	6	importance	importance	NOUN
ajst-31992	28	7	of	of	ADP
ajst-31992	28	8	connections	connection	NOUN
ajst-31992	28	9	between	between	ADP
ajst-31992	28	10	neurons	neuron	NOUN
ajst-31992	28	11	,	,	PUNCT
ajst-31992	28	12	direct	direct	ADJ
ajst-31992	28	13	evaluation	evaluation	NOUN
ajst-31992	28	14	of	of	ADP
ajst-31992	28	15	neurons	neuron	NOUN
ajst-31992	28	16	can	can	AUX
ajst-31992	28	17	also	also	ADV
ajst-31992	28	18	serve	serve	VERB
ajst-31992	28	19	the	the	DET
ajst-31992	28	20	purpose.the	purpose.the	DET
ajst-31992	28	21	mdpp	mdpp	NOUN
ajst-31992	28	22	technique	technique	NOUN
ajst-31992	28	23	was	be	AUX
ajst-31992	28	24	used	use	VERB
ajst-31992	28	25	for	for	ADP
ajst-31992	28	26	neuron	neuron	NOUN
ajst-31992	28	27	screening	screen	VERB
ajst-31992	28	28	by	by	ADP
ajst-31992	28	29	mariet	mariet	PROPN
ajst-31992	28	30	et	et	PROPN
ajst-31992	28	31	al	al	PROPN
ajst-31992	28	32	.	.	PUNCT
ajst-31992	29	1	in	in	ADP
ajst-31992	29	2	[	[	X
ajst-31992	29	3	3	3	NUM
ajst-31992	29	4	]	]	PUNCT
ajst-31992	29	5	,	,	PUNCT
ajst-31992	29	6	who	who	PRON
ajst-31992	29	7	utilized	utilize	VERB
ajst-31992	29	8	the	the	DET
ajst-31992	29	9	technique	technique	NOUN
ajst-31992	29	10	to	to	PART
ajst-31992	29	11	redistribute	redistribute	VERB
ajst-31992	29	12	data	datum	NOUN
ajst-31992	29	13	from	from	ADP
ajst-31992	29	14	neurons	neuron	NOUN
ajst-31992	29	15	so	so	SCONJ
ajst-31992	29	16	that	that	SCONJ
ajst-31992	29	17	they	they	PRON
ajst-31992	29	18	could	could	AUX
ajst-31992	29	19	be	be	AUX
ajst-31992	29	20	incorporated	incorporate	VERB
ajst-31992	29	21	into	into	ADP
ajst-31992	29	22	the	the	DET
ajst-31992	29	23	remaining	remain	VERB
ajst-31992	29	24	neurons	neuron	NOUN
ajst-31992	29	25	without	without	ADP
ajst-31992	29	26	further	further	ADJ
ajst-31992	29	27	model	model	NOUN
ajst-31992	29	28	adjustments.2020	adjustments.2020	PROPN
ajst-31992	29	29	liu	liu	PROPN
ajst-31992	29	30	,	,	PUNCT
ajst-31992	29	31	xf	xf	PROPN
ajst-31992	29	32	et	et	PROPN
ajst-31992	29	33	al[4	al[4	PROPN
ajst-31992	29	34	]	]	PUNCT
ajst-31992	29	35	designed	design	VERB
ajst-31992	29	36	group	group	NOUN
ajst-31992	29	37	-	-	PUNCT
ajst-31992	29	38	level	level	NOUN
ajst-31992	29	39	sparse	sparse	ADJ
ajst-31992	29	40	induction	induction	NOUN
ajst-31992	29	41	paradigm	paradigm	NOUN
ajst-31992	29	42	to	to	PART
ajst-31992	29	43	implement	implement	VERB
ajst-31992	29	44	network	network	NOUN
ajst-31992	29	45	self	self	NOUN
ajst-31992	29	46	-	-	PUNCT
ajst-31992	29	47	pruning	prune	VERB
ajst-31992	29	48	(	(	PUNCT
ajst-31992	29	49	ldnn	ldnn	NOUN
ajst-31992	29	50	)	)	PUNCT
ajst-31992	29	51	proposed	propose	VERB
ajst-31992	29	52	improved	improve	VERB
ajst-31992	29	53	two	two	NUM
ajst-31992	29	54	-	-	PUNCT
ajst-31992	29	55	step	step	NOUN
ajst-31992	29	56	training	training	NOUN
ajst-31992	29	57	tldnn	tldnn	NOUN
ajst-31992	29	58	:	:	PUNCT
ajst-31992	29	59	coarse	coarse	ADJ
ajst-31992	29	60	partitioning	partitioning	NOUN
ajst-31992	29	61	of	of	ADP
ajst-31992	29	62	base	base	NOUN
ajst-31992	29	63	classes	class	NOUN
ajst-31992	29	64	followed	follow	VERB
ajst-31992	29	65	by	by	ADP
ajst-31992	29	66	fine	fine	ADJ
ajst-31992	29	67	https://webofscience.clarivate.cn/wos/author/record/65406142	https://webofscience.clarivate.cn/wos/author/record/65406142	PRON
ajst-31992	29	68	23	23	NUM
ajst-31992	29	69	optimization	optimization	NOUN
ajst-31992	29	70	for	for	ADP
ajst-31992	29	71	confusing	confusing	ADJ
ajst-31992	29	72	types	type	NOUN
ajst-31992	29	73	(	(	PUNCT
ajst-31992	29	74	e.g.	e.g.	ADV
ajst-31992	29	75	,	,	PUNCT
ajst-31992	29	76	qam16	qam16	NOUN
ajst-31992	29	77	/	/	SYM
ajst-31992	29	78	qam64	qam64	NOUN
ajst-31992	29	79	)	)	PUNCT
ajst-31992	29	80	2024	2024	NUM
ajst-31992	29	81	sahbi	sahbi	NOUN
ajst-31992	29	82	,	,	PUNCT
ajst-31992	29	83	h	h	NOUN
ajst-31992	30	1	[	[	X
ajst-31992	30	2	5	5	NUM
ajst-31992	30	3	]	]	PUNCT
ajst-31992	30	4	proposed	propose	VERB
ajst-31992	30	5	designing	design	VERB
ajst-31992	30	6	ctf	ctf	NOUN
ajst-31992	30	7	parameterization	parameterization	NOUN
ajst-31992	30	8	paradigm	paradigm	NOUN
ajst-31992	30	9	:	:	PUNCT
ajst-31992	30	10	fusion	fusion	NOUN
ajst-31992	30	11	of	of	ADP
ajst-31992	30	12	hadamard	hadamard	ADJ
ajst-31992	30	13	product	product	NOUN
ajst-31992	30	14	via	via	ADP
ajst-31992	30	15	four	four	NUM
ajst-31992	30	16	levels	level	NOUN
ajst-31992	30	17	of	of	ADP
ajst-31992	30	18	pruning	prune	VERB
ajst-31992	30	19	masks	mask	NOUN
ajst-31992	30	20	at	at	ADP
ajst-31992	30	21	channel	channel	NOUN
ajst-31992	30	22	,	,	PUNCT
ajst-31992	30	23	row	row	NOUN
ajst-31992	30	24	,	,	PUNCT
ajst-31992	30	25	column	column	NOUN
ajst-31992	30	26	and	and	CCONJ
ajst-31992	30	27	element	element	NOUN
ajst-31992	30	28	levels	level	NOUN
ajst-31992	30	29	to	to	PART
ajst-31992	30	30	achieve	achieve	VERB
ajst-31992	30	31	a	a	DET
ajst-31992	30	32	hierarchical	hierarchical	ADJ
ajst-31992	30	33	constraint	constraint	NOUN
ajst-31992	30	34	mechanism	mechanism	NOUN
ajst-31992	30	35	that	that	PRON
ajst-31992	30	36	automatically	automatically	ADV
ajst-31992	30	37	invalidates	invalidate	VERB
ajst-31992	30	38	fine	fine	ADV
ajst-31992	30	39	-	-	PUNCT
ajst-31992	30	40	grained	grain	VERB
ajst-31992	30	41	pruning	prune	VERB
ajst-31992	30	42	when	when	SCONJ
ajst-31992	30	43	coarse	coarse	NOUN
ajst-31992	30	44	-	-	PUNCT
ajst-31992	30	45	grained	grain	VERB
ajst-31992	30	46	pruning	pruning	NOUN
ajst-31992	30	47	is	be	AUX
ajst-31992	30	48	activated	activate	VERB
ajst-31992	30	49	,	,	PUNCT
ajst-31992	30	50	enabling	enable	VERB
ajst-31992	30	51	the	the	DET
ajst-31992	30	52	possible	possible	ADJ
ajst-31992	30	53	simultaneous	simultaneous	ADJ
ajst-31992	30	54	use	use	NOUN
ajst-31992	30	55	between	between	ADP
ajst-31992	30	56	structured	structured	ADJ
ajst-31992	30	57	and	and	CCONJ
ajst-31992	30	58	unstructured	unstructured	ADJ
ajst-31992	30	59	pruning	pruning	NOUN
ajst-31992	30	60	.	.	PUNCT
ajst-31992	31	1	in	in	ADP
ajst-31992	31	2	the	the	DET
ajst-31992	31	3	same	same	ADJ
ajst-31992	31	4	year	year	NOUN
ajst-31992	31	5	,	,	PUNCT
ajst-31992	31	6	to	to	PART
ajst-31992	31	7	address	address	VERB
ajst-31992	31	8	the	the	DET
ajst-31992	31	9	suboptimal	suboptimal	ADJ
ajst-31992	31	10	compression	compression	NOUN
ajst-31992	31	11	problem	problem	NOUN
ajst-31992	31	12	caused	cause	VERB
ajst-31992	31	13	by	by	ADP
ajst-31992	31	14	traditional	traditional	ADJ
ajst-31992	31	15	pruning	pruning	NOUN
ajst-31992	31	16	methods	method	NOUN
ajst-31992	31	17	relying	rely	VERB
ajst-31992	31	18	on	on	ADP
ajst-31992	31	19	the	the	DET
ajst-31992	31	20	assumptions	assumption	NOUN
ajst-31992	31	21	that	that	SCONJ
ajst-31992	31	22	"	"	PUNCT
ajst-31992	31	23	filters	filter	VERB
ajst-31992	31	24	with	with	ADP
ajst-31992	31	25	small	small	ADJ
ajst-31992	31	26	weighting	weighting	NOUN
ajst-31992	31	27	paradigms	paradigm	NOUN
ajst-31992	31	28	are	be	AUX
ajst-31992	31	29	unimportant	unimportant	ADJ
ajst-31992	31	30	"	"	PUNCT
ajst-31992	31	31	and	and	CCONJ
ajst-31992	31	32	"	"	PUNCT
ajst-31992	31	33	highly	highly	ADV
ajst-31992	31	34	similar	similar	ADJ
ajst-31992	31	35	filters	filter	NOUN
ajst-31992	31	36	are	be	AUX
ajst-31992	31	37	redundant	redundant	ADJ
ajst-31992	31	38	”	"	PUNCT
ajst-31992	31	39	,	,	PUNCT
ajst-31992	31	40	liao.w	liao.w	PROPN
ajst-31992	31	41	et	et	PROPN
ajst-31992	31	42	al	al	PROPN
ajst-31992	31	43	.	.	PUNCT
ajst-31992	32	1	[	[	X
ajst-31992	32	2	6	6	NUM
ajst-31992	32	3	]	]	PUNCT
ajst-31992	32	4	proposed	propose	VERB
ajst-31992	32	5	a	a	DET
ajst-31992	32	6	two	two	NUM
ajst-31992	32	7	-	-	PUNCT
ajst-31992	32	8	stage	stage	NOUN
ajst-31992	32	9	filter	filter	NOUN
ajst-31992	32	10	pruning	pruning	NOUN
ajst-31992	32	11	method	method	NOUN
ajst-31992	32	12	(	(	PUNCT
ajst-31992	32	13	csp	csp	PROPN
ajst-31992	32	14	)	)	PUNCT
ajst-31992	32	15	that	that	PRON
ajst-31992	32	16	incorporates	incorporate	VERB
ajst-31992	32	17	cosine	cosine	ADJ
ajst-31992	32	18	spatial	spatial	ADJ
ajst-31992	32	19	correlation	correlation	NOUN
ajst-31992	32	20	.	.	PUNCT
ajst-31992	33	1	they	they	PRON
ajst-31992	33	2	proposed	propose	VERB
ajst-31992	33	3	a	a	DET
ajst-31992	33	4	two	two	NUM
ajst-31992	33	5	-	-	PUNCT
ajst-31992	33	6	stage	stage	NOUN
ajst-31992	33	7	filter	filter	NOUN
ajst-31992	33	8	pruning	pruning	NOUN
ajst-31992	33	9	method	method	NOUN
ajst-31992	33	10	incorporating	incorporate	VERB
ajst-31992	33	11	cosine	cosine	NOUN
ajst-31992	33	12	spatial	spatial	ADJ
ajst-31992	33	13	correlation	correlation	NOUN
ajst-31992	33	14	(	(	PUNCT
ajst-31992	33	15	csctfp	csctfp	PROPN
ajst-31992	33	16	)	)	PUNCT
ajst-31992	33	17	to	to	PART
ajst-31992	33	18	address	address	VERB
ajst-31992	33	19	the	the	DET
ajst-31992	33	20	paradox	paradox	NOUN
ajst-31992	33	21	of	of	ADP
ajst-31992	33	22	deploying	deploy	VERB
ajst-31992	33	23	complex	complex	ADJ
ajst-31992	33	24	models	model	NOUN
ajst-31992	33	25	for	for	ADP
ajst-31992	33	26	resourceconstrained	resourceconstraine	VERB
ajst-31992	33	27	embedded	embed	VERB
ajst-31992	33	28	devices	device	NOUN
ajst-31992	33	29	.	.	PUNCT
ajst-31992	34	1	the	the	DET
ajst-31992	34	2	above	above	ADJ
ajst-31992	34	3	work	work	NOUN
ajst-31992	34	4	shows	show	VERB
ajst-31992	34	5	that	that	SCONJ
ajst-31992	34	6	pruning	pruning	NOUN
ajst-31992	34	7	is	be	AUX
ajst-31992	34	8	effective	effective	ADJ
ajst-31992	34	9	in	in	ADP
ajst-31992	34	10	reducing	reduce	VERB
ajst-31992	34	11	the	the	DET
ajst-31992	34	12	amount	amount	NOUN
ajst-31992	34	13	of	of	ADP
ajst-31992	34	14	computation	computation	NOUN
ajst-31992	34	15	(	(	PUNCT
ajst-31992	34	16	number	number	NOUN
ajst-31992	34	17	of	of	ADP
ajst-31992	34	18	parameters	parameter	NOUN
ajst-31992	34	19	)	)	PUNCT
ajst-31992	34	20	,	,	PUNCT
ajst-31992	34	21	is	be	AUX
ajst-31992	34	22	hardware	hardware	NOUN
ajst-31992	34	23	friendly	friendly	ADJ
ajst-31992	34	24	,	,	PUNCT
ajst-31992	34	25	relatively	relatively	ADV
ajst-31992	34	26	fast	fast	ADV
ajst-31992	34	27	in	in	ADP
ajst-31992	34	28	computation	computation	NOUN
ajst-31992	34	29	,	,	PUNCT
ajst-31992	34	30	but	but	CCONJ
ajst-31992	34	31	subsequently	subsequently	ADV
ajst-31992	34	32	more	more	ADV
ajst-31992	34	33	or	or	CCONJ
ajst-31992	34	34	less	less	ADJ
ajst-31992	34	35	requires	require	VERB
ajst-31992	34	36	recovery	recovery	NOUN
ajst-31992	34	37	of	of	ADP
ajst-31992	34	38	accuracy	accuracy	NOUN
ajst-31992	34	39	,	,	PUNCT
ajst-31992	34	40	and	and	CCONJ
ajst-31992	34	41	is	be	AUX
ajst-31992	34	42	suitable	suitable	ADJ
ajst-31992	34	43	for	for	ADP
ajst-31992	34	44	edge	edge	NOUN
ajst-31992	34	45	devices	device	NOUN
ajst-31992	34	46	and	and	CCONJ
ajst-31992	34	47	real	real	ADJ
ajst-31992	34	48	-	-	PUNCT
ajst-31992	34	49	time	time	NOUN
ajst-31992	34	50	reasoning	reasoning	NOUN
ajst-31992	34	51	.	.	PUNCT
ajst-31992	35	1	parameter	parameter	NOUN
ajst-31992	35	2	quantization	quantization	NOUN
ajst-31992	35	3	is	be	AUX
ajst-31992	35	4	the	the	DET
ajst-31992	35	5	representation	representation	NOUN
ajst-31992	35	6	of	of	ADP
ajst-31992	35	7	32	32	NUM
ajst-31992	35	8	-	-	PUNCT
ajst-31992	35	9	bit	bit	NOUN
ajst-31992	35	10	floating	float	VERB
ajst-31992	35	11	-	-	PUNCT
ajst-31992	35	12	point	point	NOUN
ajst-31992	35	13	network	network	NOUN
ajst-31992	35	14	parameters	parameter	NOUN
ajst-31992	35	15	(	(	PUNCT
ajst-31992	35	16	e.g.	e.g.	ADV
ajst-31992	35	17	,	,	PUNCT
ajst-31992	35	18	weights	weight	NOUN
ajst-31992	35	19	,	,	PUNCT
ajst-31992	35	20	activation	activation	NOUN
ajst-31992	35	21	values	value	NOUN
ajst-31992	35	22	,	,	PUNCT
ajst-31992	35	23	gradients	gradient	NOUN
ajst-31992	35	24	,	,	PUNCT
ajst-31992	35	25	errors	error	NOUN
ajst-31992	35	26	,	,	PUNCT
ajst-31992	35	27	etc	etc	X
ajst-31992	35	28	.	.	X
ajst-31992	35	29	)	)	PUNCT
ajst-31992	36	1	by	by	ADP
ajst-31992	36	2	lower	low	ADJ
ajst-31992	36	3	bitwidths	bitwidth	NOUN
ajst-31992	36	4	,	,	PUNCT
ajst-31992	36	5	often	often	ADV
ajst-31992	36	6	using	use	VERB
ajst-31992	36	7	uniform	uniform	ADJ
ajst-31992	36	8	bitwidths	bitwidth	NOUN
ajst-31992	36	9	(	(	PUNCT
ajst-31992	36	10	1	1	NUM
ajst-31992	36	11	-	-	PUNCT
ajst-31992	36	12	bit	bit	NOUN
ajst-31992	36	13	,	,	PUNCT
ajst-31992	36	14	2	2	NUM
ajst-31992	36	15	-	-	PUNCT
ajst-31992	36	16	bit	bit	NOUN
ajst-31992	36	17	,	,	PUNCT
ajst-31992	36	18	etc	etc	X
ajst-31992	36	19	.	.	X
ajst-31992	36	20	)	)	PUNCT
ajst-31992	36	21	,	,	PUNCT
ajst-31992	36	22	but	but	CCONJ
ajst-31992	36	23	also	also	ADV
ajst-31992	36	24	by	by	ADP
ajst-31992	36	25	a	a	DET
ajst-31992	36	26	certain	certain	ADJ
ajst-31992	36	27	strategy	strategy	NOUN
ajst-31992	36	28	to	to	PART
ajst-31992	36	29	freely	freely	ADV
ajst-31992	36	30	combine	combine	VERB
ajst-31992	36	31	different	different	ADJ
ajst-31992	36	32	bitwidths	bitwidth	NOUN
ajst-31992	36	33	.	.	PUNCT
ajst-31992	37	1	binarization	binarization	NOUN
ajst-31992	37	2	is	be	AUX
ajst-31992	37	3	a	a	DET
ajst-31992	37	4	form	form	NOUN
ajst-31992	37	5	of	of	ADP
ajst-31992	37	6	limiting	limit	VERB
ajst-31992	37	7	network	network	NOUN
ajst-31992	37	8	parameters	parameter	NOUN
ajst-31992	37	9	to	to	ADP
ajst-31992	37	10	1	1	NUM
ajst-31992	37	11	or	or	CCONJ
ajst-31992	37	12	-1	-1	ADJ
ajst-31992	37	13	,	,	PUNCT
ajst-31992	37	14	i.e.	i.e.	X
ajst-31992	37	15	,	,	PUNCT
ajst-31992	37	16	compression	compression	NOUN
ajst-31992	37	17	of	of	ADP
ajst-31992	37	18	parameters	parameter	NOUN
ajst-31992	37	19	to	to	ADP
ajst-31992	37	20	1	1	NUM
ajst-31992	37	21	-	-	PUNCT
ajst-31992	37	22	bit	bit	NOUN
ajst-31992	37	23	,	,	PUNCT
ajst-31992	37	24	which	which	PRON
ajst-31992	37	25	reduces	reduce	VERB
ajst-31992	37	26	the	the	DET
ajst-31992	37	27	storage	storage	NOUN
ajst-31992	37	28	and	and	CCONJ
ajst-31992	37	29	memory	memory	NOUN
ajst-31992	37	30	requirements	requirement	NOUN
ajst-31992	37	31	of	of	ADP
ajst-31992	37	32	the	the	DET
ajst-31992	37	33	model	model	NOUN
ajst-31992	37	34	,	,	PUNCT
ajst-31992	37	35	while	while	SCONJ
ajst-31992	37	36	replacing	replace	VERB
ajst-31992	37	37	the	the	DET
ajst-31992	37	38	original	original	ADJ
ajst-31992	37	39	multiplication	multiplication	NOUN
ajst-31992	37	40	operations	operation	NOUN
ajst-31992	37	41	with	with	ADP
ajst-31992	37	42	addition	addition	NOUN
ajst-31992	37	43	or	or	CCONJ
ajst-31992	37	44	displacement	displacement	ADJ
ajst-31992	37	45	operations	operation	NOUN
ajst-31992	37	46	.	.	PUNCT
ajst-31992	38	1	xing	xing	PROPN
ajst-31992	38	2	,	,	PUNCT
ajst-31992	38	3	xr	xr	PROPN
ajst-31992	38	4	et	et	PROPN
ajst-31992	38	5	al[7	al[7	PROPN
ajst-31992	38	6	]	]	PUNCT
ajst-31992	38	7	proposed	propose	VERB
ajst-31992	38	8	the	the	DET
ajst-31992	38	9	binarized	binarized	ADJ
ajst-31992	38	10	pre	pre	ADJ
ajst-31992	38	11	-	-	ADJ
ajst-31992	38	12	training	training	ADJ
ajst-31992	38	13	basis	basis	NOUN
ajst-31992	38	14	transformer	transformer	NOUN
ajst-31992	38	15	(	(	PUNCT
ajst-31992	38	16	bipft	bipft	PROPN
ajst-31992	38	17	)	)	PUNCT
ajst-31992	38	18	with	with	ADP
ajst-31992	38	19	a	a	DET
ajst-31992	38	20	view	view	NOUN
ajst-31992	38	21	to	to	ADP
ajst-31992	38	22	solving	solve	VERB
ajst-31992	38	23	the	the	DET
ajst-31992	38	24	problem	problem	NOUN
ajst-31992	38	25	of	of	ADP
ajst-31992	38	26	large	large	ADJ
ajst-31992	38	27	-	-	PUNCT
ajst-31992	38	28	scale	scale	NOUN
ajst-31992	38	29	pre	pre	ADJ
ajst-31992	38	30	-	-	ADJ
ajst-31992	38	31	training	training	ADJ
ajst-31992	38	32	models	model	NOUN
ajst-31992	38	33	in	in	ADP
ajst-31992	38	34	resource	resource	NOUN
ajst-31992	38	35	constrained	constrain	VERB
ajst-31992	38	36	deployments	deployment	NOUN
ajst-31992	38	37	,	,	PUNCT
ajst-31992	38	38	such	such	ADJ
ajst-31992	38	39	as	as	ADP
ajst-31992	38	40	mobile	mobile	ADJ
ajst-31992	38	41	devices	device	NOUN
ajst-31992	38	42	.	.	PUNCT
ajst-31992	39	1	arithmetic	arithmetic	ADJ
ajst-31992	39	2	and	and	CCONJ
ajst-31992	39	3	memory	memory	NOUN
ajst-31992	39	4	challenges	challenge	NOUN
ajst-31992	39	5	of	of	ADP
ajst-31992	39	6	device	device	NOUN
ajst-31992	39	7	deployment	deployment	NOUN
ajst-31992	39	8	becerra	becerra	PROPN
ajst-31992	39	9	-	-	PUNCT
ajst-31992	39	10	rozas	rozas	PROPN
ajst-31992	39	11	,	,	PUNCT
ajst-31992	39	12	m	m	VERB
ajst-31992	39	13	et	et	NOUN
ajst-31992	39	14	al	al	PROPN
ajst-31992	40	1	[	[	X
ajst-31992	40	2	8	8	NUM
ajst-31992	40	3	]	]	PUNCT
ajst-31992	40	4	proposed	propose	VERB
ajst-31992	40	5	reinforcement	reinforcement	NOUN
ajst-31992	40	6	learning	learning	NOUN
ajst-31992	40	7	-	-	PUNCT
ajst-31992	40	8	driven	drive	VERB
ajst-31992	40	9	binarization	binarization	NOUN
ajst-31992	40	10	scheme	scheme	NOUN
ajst-31992	40	11	selection	selection	NOUN
ajst-31992	40	12	strategy	strategy	NOUN
ajst-31992	40	13	,	,	PUNCT
ajst-31992	40	14	which	which	PRON
ajst-31992	40	15	argues	argue	VERB
ajst-31992	40	16	for	for	ADP
ajst-31992	40	17	integrating	integrate	VERB
ajst-31992	40	18	reinforcement	reinforcement	NOUN
ajst-31992	40	19	learning	learning	NOUN
ajst-31992	40	20	and	and	CCONJ
ajst-31992	40	21	meta	meta	ADJ
ajst-31992	40	22	-	-	PUNCT
ajst-31992	40	23	heuristic	heuristic	ADJ
ajst-31992	40	24	techniques	technique	NOUN
ajst-31992	40	25	in	in	ADP
ajst-31992	40	26	a	a	DET
ajst-31992	40	27	bss	bss	NOUN
ajst-31992	40	28	framework	framework	NOUN
ajst-31992	40	29	:	:	PUNCT
ajst-31992	40	30	binarization	binarization	NOUN
ajst-31992	40	31	scheme	scheme	NOUN
ajst-31992	40	32	selection	selection	NOUN
ajst-31992	40	33	is	be	AUX
ajst-31992	40	34	modeled	model	VERB
ajst-31992	40	35	as	as	ADP
ajst-31992	40	36	an	an	DET
ajst-31992	40	37	action	action	NOUN
ajst-31992	40	38	selection	selection	NOUN
ajst-31992	40	39	mechanism	mechanism	NOUN
ajst-31992	40	40	,	,	PUNCT
ajst-31992	40	41	and	and	CCONJ
ajst-31992	40	42	the	the	DET
ajst-31992	40	43	binarization	binarization	NOUN
ajst-31992	40	44	process	process	NOUN
ajst-31992	40	45	is	be	AUX
ajst-31992	40	46	dynamically	dynamically	ADV
ajst-31992	40	47	optimized	optimize	VERB
ajst-31992	40	48	by	by	ADP
ajst-31992	40	49	reinforcement	reinforcement	NOUN
ajst-31992	40	50	learning	learning	NOUN
ajst-31992	40	51	strategies	strategy	NOUN
ajst-31992	40	52	.	.	PUNCT
ajst-31992	41	1	parameter	parameter	NOUN
ajst-31992	41	2	sharing	sharing	NOUN
ajst-31992	41	3	refers	refer	VERB
ajst-31992	41	4	to	to	ADP
ajst-31992	41	5	reducing	reduce	VERB
ajst-31992	41	6	the	the	DET
ajst-31992	41	7	number	number	NOUN
ajst-31992	41	8	of	of	ADP
ajst-31992	41	9	parameters	parameter	NOUN
ajst-31992	41	10	by	by	ADP
ajst-31992	41	11	using	use	VERB
ajst-31992	41	12	methods	method	NOUN
ajst-31992	41	13	such	such	ADJ
ajst-31992	41	14	as	as	ADP
ajst-31992	41	15	structured	structured	ADJ
ajst-31992	41	16	matrices	matrix	NOUN
ajst-31992	41	17	or	or	CCONJ
ajst-31992	41	18	clustering	cluster	VERB
ajst-31992	41	19	to	to	ADP
ajst-31992	41	20	project	project	NOUN
ajst-31992	41	21	network	network	NOUN
ajst-31992	41	22	parameters	parameter	NOUN
ajst-31992	41	23	.	.	PUNCT
ajst-31992	42	1	unlike	unlike	ADP
ajst-31992	42	2	parameter	parameter	NOUN
ajst-31992	42	3	pruning	prune	VERB
ajst-31992	42	4	which	which	PRON
ajst-31992	42	5	directly	directly	ADV
ajst-31992	42	6	cuts	cut	VERB
ajst-31992	42	7	unimportant	unimportant	ADJ
ajst-31992	42	8	parameters	parameter	NOUN
ajst-31992	42	9	,	,	PUNCT
ajst-31992	42	10	parameter	parameter	NOUN
ajst-31992	42	11	sharing	sharing	NOUN
ajst-31992	42	12	designs	design	VERB
ajst-31992	42	13	a	a	DET
ajst-31992	42	14	form	form	NOUN
ajst-31992	42	15	of	of	ADP
ajst-31992	42	16	mapping	map	VERB
ajst-31992	42	17	circulant	circulant	ADJ
ajst-31992	42	18	matrix	matrix	NOUN
ajst-31992	42	19	,	,	PUNCT
ajst-31992	42	20	as	as	ADP
ajst-31992	42	21	a	a	DET
ajst-31992	42	22	kind	kind	NOUN
ajst-31992	42	23	of	of	ADP
ajst-31992	42	24	structured	structured	ADJ
ajst-31992	42	25	matrix	matrix	NOUN
ajst-31992	42	26	,	,	PUNCT
ajst-31992	42	27	is	be	AUX
ajst-31992	42	28	used	use	VERB
ajst-31992	42	29	as	as	ADP
ajst-31992	42	30	a	a	DET
ajst-31992	42	31	common	common	ADJ
ajst-31992	42	32	mapping	mapping	NOUN
ajst-31992	42	33	form	form	NOUN
ajst-31992	42	34	for	for	ADP
ajst-31992	42	35	parameter	parameter	NOUN
ajst-31992	42	36	sharing.yunhe	sharing.yunhe	VERB
ajst-31992	42	37	wang	wang	PROPN
ajst-31992	42	38	et	et	PROPN
ajst-31992	42	39	al.[9	al.[9	PROPN
ajst-31992	42	40	]	]	PUNCT
ajst-31992	42	41	use	use	VERB
ajst-31992	42	42	circulant	circulant	ADJ
ajst-31992	42	43	matrix	matrix	NOUN
ajst-31992	42	44	to	to	PART
ajst-31992	42	45	reduce	reduce	VERB
ajst-31992	42	46	the	the	DET
ajst-31992	42	47	feature	feature	NOUN
ajst-31992	42	48	map	map	NOUN
ajst-31992	42	49	embedding	embed	VERB
ajst-31992	42	50	complexity	complexity	NOUN
ajst-31992	42	51	to	to	ADP
ajst-31992	42	52	o(d	o(d	PROPN
ajst-31992	42	53	log	log	NOUN
ajst-31992	42	54	d	d	NOUN
ajst-31992	42	55	)	)	PUNCT
ajst-31992	43	1	(	(	PUNCT
ajst-31992	43	2	d	d	NOUN
ajst-31992	43	3	is	be	AUX
ajst-31992	43	4	the	the	DET
ajst-31992	43	5	feature	feature	NOUN
ajst-31992	43	6	map	map	NOUN
ajst-31992	43	7	dimension	dimension	NOUN
ajst-31992	43	8	)	)	PUNCT
ajst-31992	43	9	li.fy	li.fy	PROPN
ajst-31992	43	10	et	et	PROPN
ajst-31992	43	11	al.[10	al.[10	PROPN
ajst-31992	43	12	]	]	X
ajst-31992	43	13	propose	propose	VERB
ajst-31992	43	14	a	a	DET
ajst-31992	43	15	hierarchical	hierarchical	ADJ
ajst-31992	43	16	parameter	parameter	NOUN
ajst-31992	43	17	sharing	sharing	NOUN
ajst-31992	43	18	strategy	strategy	NOUN
ajst-31992	43	19	to	to	PART
ajst-31992	43	20	improve	improve	VERB
ajst-31992	43	21	the	the	DET
ajst-31992	43	22	ability	ability	NOUN
ajst-31992	43	23	of	of	ADP
ajst-31992	43	24	semantic	semantic	ADJ
ajst-31992	43	25	composability	composability	NOUN
ajst-31992	43	26	modeling	modeling	NOUN
ajst-31992	43	27	.	.	PUNCT
ajst-31992	44	1	clustering	cluster	VERB
ajst-31992	44	2	of	of	ADP
ajst-31992	44	3	hidden	hide	VERB
ajst-31992	44	4	unit	unit	NOUN
ajst-31992	44	5	weights	weight	NOUN
ajst-31992	44	6	based	base	VERB
ajst-31992	44	7	on	on	ADP
ajst-31992	44	8	semantic	semantic	ADJ
ajst-31992	44	9	hierarchy	hierarchy	NOUN
ajst-31992	44	10	above	above	ADP
ajst-31992	44	11	methods	method	NOUN
ajst-31992	44	12	as	as	ADV
ajst-31992	44	13	far	far	ADV
ajst-31992	44	14	as	as	SCONJ
ajst-31992	44	15	the	the	DET
ajst-31992	44	16	existing	exist	VERB
ajst-31992	44	17	work	work	NOUN
ajst-31992	44	18	is	be	AUX
ajst-31992	44	19	concerned	concern	VERB
ajst-31992	44	20	,	,	PUNCT
ajst-31992	44	21	the	the	DET
ajst-31992	44	22	model	model	NOUN
ajst-31992	44	23	lightweighting	lightweighte	VERB
ajst-31992	44	24	of	of	ADP
ajst-31992	44	25	compressed	compressed	ADJ
ajst-31992	44	26	parameters	parameter	NOUN
ajst-31992	44	27	is	be	AUX
ajst-31992	44	28	more	more	ADV
ajst-31992	44	29	developed	developed	ADJ
ajst-31992	44	30	on	on	ADP
ajst-31992	44	31	pruning	prune	VERB
ajst-31992	44	32	and	and	CCONJ
ajst-31992	44	33	has	have	VERB
ajst-31992	44	34	more	more	ADJ
ajst-31992	44	35	room	room	NOUN
ajst-31992	44	36	for	for	ADP
ajst-31992	44	37	development	development	NOUN
ajst-31992	44	38	for	for	ADP
ajst-31992	44	39	parameter	parameter	NOUN
ajst-31992	44	40	quantization	quantization	NOUN
ajst-31992	44	41	,	,	PUNCT
ajst-31992	44	42	which	which	PRON
ajst-31992	44	43	has	have	AUX
ajst-31992	44	44	become	become	VERB
ajst-31992	44	45	more	more	ADV
ajst-31992	44	46	popular	popular	ADJ
ajst-31992	44	47	in	in	ADP
ajst-31992	44	48	recent	recent	ADJ
ajst-31992	44	49	years	year	NOUN
ajst-31992	44	50	,	,	PUNCT
ajst-31992	44	51	the	the	DET
ajst-31992	44	52	prospect	prospect	NOUN
ajst-31992	44	53	of	of	ADP
ajst-31992	44	54	parameter	parameter	NOUN
ajst-31992	44	55	sharing	sharing	NOUN
ajst-31992	44	56	is	be	AUX
ajst-31992	44	57	promising	promise	VERB
ajst-31992	44	58	.	.	PUNCT
ajst-31992	45	1	in	in	ADP
ajst-31992	45	2	terms	term	NOUN
ajst-31992	45	3	of	of	ADP
ajst-31992	45	4	method	method	NOUN
ajst-31992	45	5	mixing	mixing	NOUN
ajst-31992	45	6	,	,	PUNCT
ajst-31992	45	7	the	the	DET
ajst-31992	45	8	mixing	mixing	NOUN
ajst-31992	45	9	of	of	ADP
ajst-31992	45	10	several	several	ADJ
ajst-31992	45	11	methods	method	NOUN
ajst-31992	45	12	is	be	AUX
ajst-31992	45	13	becoming	become	VERB
ajst-31992	45	14	more	more	ADV
ajst-31992	45	15	and	and	CCONJ
ajst-31992	45	16	more	more	ADV
ajst-31992	45	17	popular	popular	ADJ
ajst-31992	45	18	.	.	PUNCT
ajst-31992	46	1	it	it	PRON
ajst-31992	46	2	has	have	VERB
ajst-31992	46	3	a	a	DET
ajst-31992	46	4	bright	bright	ADJ
ajst-31992	46	5	prospect	prospect	NOUN
ajst-31992	46	6	for	for	ADP
ajst-31992	46	7	speeding	speed	VERB
ajst-31992	46	8	up	up	ADP
ajst-31992	46	9	the	the	DET
ajst-31992	46	10	processing	processing	NOUN
ajst-31992	46	11	speed	speed	NOUN
ajst-31992	46	12	and	and	CCONJ
ajst-31992	46	13	reducing	reduce	VERB
ajst-31992	46	14	the	the	DET
ajst-31992	46	15	expenses	expense	NOUN
ajst-31992	46	16	.	.	PUNCT
ajst-31992	47	1	in	in	ADP
ajst-31992	47	2	recent	recent	ADJ
ajst-31992	47	3	years	year	NOUN
ajst-31992	47	4	,	,	PUNCT
ajst-31992	47	5	the	the	DET
ajst-31992	47	6	work	work	NOUN
ajst-31992	47	7	focuses	focus	VERB
ajst-31992	47	8	on	on	ADP
ajst-31992	47	9	the	the	DET
ajst-31992	47	10	comprehensive	comprehensive	ADJ
ajst-31992	47	11	use	use	NOUN
ajst-31992	47	12	of	of	ADP
ajst-31992	47	13	several	several	ADJ
ajst-31992	47	14	methods	method	NOUN
ajst-31992	47	15	,	,	PUNCT
ajst-31992	47	16	and	and	CCONJ
ajst-31992	47	17	puts	put	VERB
ajst-31992	47	18	forward	forward	ADV
ajst-31992	47	19	different	different	ADJ
ajst-31992	47	20	ideas	idea	NOUN
ajst-31992	47	21	from	from	ADP
ajst-31992	47	22	the	the	DET
ajst-31992	47	23	past	past	NOUN
ajst-31992	47	24	,	,	PUNCT
ajst-31992	47	25	such	such	ADJ
ajst-31992	47	26	as	as	ADP
ajst-31992	47	27	literature	literature	NOUN
ajst-31992	47	28	6	6	NUM
ajst-31992	48	1	[	[	X
ajst-31992	48	2	6	6	NUM
ajst-31992	48	3	]	]	PUNCT
ajst-31992	48	4	,	,	PUNCT
ajst-31992	48	5	and	and	CCONJ
ajst-31992	48	6	the	the	DET
ajst-31992	48	7	edge	edge	NOUN
ajst-31992	48	8	of	of	ADP
ajst-31992	48	9	the	the	DET
ajst-31992	48	10	device	device	NOUN
ajst-31992	48	11	is	be	AUX
ajst-31992	48	12	more	more	ADV
ajst-31992	48	13	closely	closely	ADV
ajst-31992	48	14	linked	link	VERB
ajst-31992	48	15	.	.	PUNCT
ajst-31992	49	1	2.2	2.2	NUM
ajst-31992	49	2	.	.	PUNCT
ajst-31992	50	1	compression	compression	NOUN
ajst-31992	50	2	structure	structure	NOUN
ajst-31992	50	3	compression	compression	NOUN
ajst-31992	50	4	structure	structure	NOUN
ajst-31992	50	5	includes	include	VERB
ajst-31992	50	6	:	:	PUNCT
ajst-31992	50	7	compact	compact	ADJ
ajst-31992	50	8	network	network	NOUN
ajst-31992	50	9	and	and	CCONJ
ajst-31992	50	10	knowledge	knowledge	NOUN
ajst-31992	50	11	distillation	distillation	NOUN
ajst-31992	50	12	.	.	PUNCT
ajst-31992	51	1	compact	compact	ADJ
ajst-31992	51	2	networks	network	NOUN
ajst-31992	51	3	are	be	AUX
ajst-31992	51	4	networks	network	NOUN
ajst-31992	51	5	that	that	PRON
ajst-31992	51	6	are	be	AUX
ajst-31992	51	7	redesigned	redesign	VERB
ajst-31992	51	8	to	to	PART
ajst-31992	51	9	be	be	AUX
ajst-31992	51	10	more	more	ADV
ajst-31992	51	11	compact	compact	ADJ
ajst-31992	51	12	by	by	ADP
ajst-31992	51	13	constructing	construct	VERB
ajst-31992	51	14	specially	specially	ADV
ajst-31992	51	15	structured	structured	ADJ
ajst-31992	51	16	filters	filter	NOUN
ajst-31992	51	17	,	,	PUNCT
ajst-31992	51	18	network	network	NOUN
ajst-31992	51	19	layers	layer	NOUN
ajst-31992	51	20	,	,	PUNCT
ajst-31992	51	21	or	or	CCONJ
ajst-31992	51	22	even	even	ADV
ajst-31992	51	23	networks	network	NOUN
ajst-31992	51	24	,	,	PUNCT
ajst-31992	51	25	and	and	CCONJ
ajst-31992	51	26	retrained	retrain	VERB
ajst-31992	51	27	to	to	PART
ajst-31992	51	28	achieve	achieve	VERB
ajst-31992	51	29	performance	performance	NOUN
ajst-31992	51	30	suitable	suitable	ADJ
ajst-31992	51	31	for	for	ADP
ajst-31992	51	32	deployment	deployment	NOUN
ajst-31992	51	33	in	in	ADP
ajst-31992	51	34	edge	edge	NOUN
ajst-31992	51	35	networks	network	NOUN
ajst-31992	51	36	with	with	ADP
ajst-31992	51	37	limited	limited	ADJ
ajst-31992	51	38	resources	resource	NOUN
ajst-31992	51	39	.	.	PUNCT
ajst-31992	52	1	there	there	PRON
ajst-31992	52	2	are	be	VERB
ajst-31992	52	3	traffic	traffic	NOUN
ajst-31992	52	4	saving	saving	NOUN
ajst-31992	52	5	approaches	approach	NOUN
ajst-31992	52	6	such	such	ADJ
ajst-31992	52	7	as	as	ADP
ajst-31992	52	8	chaudhary	chaudhary	PROPN
ajst-31992	52	9	.	.	PUNCT
ajst-31992	53	1	shubham	shubham	PROPN
ajst-31992	54	1	[	[	X
ajst-31992	54	2	11	11	NUM
ajst-31992	54	3	]	]	PUNCT
ajst-31992	54	4	et	et	PROPN
ajst-31992	54	5	al	al	PROPN
ajst-31992	54	6	.	.	PROPN
ajst-31992	54	7	proposed	propose	VERB
ajst-31992	54	8	to	to	PART
ajst-31992	54	9	improve	improve	VERB
ajst-31992	54	10	the	the	DET
ajst-31992	54	11	quality	quality	NOUN
ajst-31992	54	12	of	of	ADP
ajst-31992	54	13	experience	experience	NOUN
ajst-31992	54	14	(	(	PUNCT
ajst-31992	54	15	qoe	qoe	NOUN
ajst-31992	54	16	)	)	PUNCT
ajst-31992	54	17	and	and	CCONJ
ajst-31992	54	18	reduce	reduce	VERB
ajst-31992	54	19	the	the	DET
ajst-31992	54	20	latency	latency	NOUN
ajst-31992	54	21	of	of	ADP
ajst-31992	54	22	real	real	ADJ
ajst-31992	54	23	-	-	PUNCT
ajst-31992	54	24	time	time	NOUN
ajst-31992	54	25	video	video	NOUN
ajst-31992	54	26	streaming	streaming	NOUN
ajst-31992	54	27	by	by	ADP
ajst-31992	54	28	encoding	encode	VERB
ajst-31992	54	29	video	video	NOUN
ajst-31992	54	30	in	in	ADP
ajst-31992	54	31	chunks	chunk	NOUN
ajst-31992	54	32	and	and	CCONJ
ajst-31992	54	33	utilizing	utilize	VERB
ajst-31992	54	34	parallel	parallel	ADJ
ajst-31992	54	35	transmissions	transmission	NOUN
ajst-31992	54	36	over	over	ADP
ajst-31992	54	37	multi	multi	ADJ
ajst-31992	54	38	-	-	ADJ
ajst-31992	54	39	device	device	ADJ
ajst-31992	54	40	cellular	cellular	ADJ
ajst-31992	54	41	networks	network	NOUN
ajst-31992	54	42	in	in	ADP
ajst-31992	54	43	order	order	NOUN
ajst-31992	54	44	to	to	PART
ajst-31992	54	45	solve	solve	VERB
ajst-31992	54	46	the	the	DET
ajst-31992	54	47	lagging	lagging	NOUN
ajst-31992	54	48	and	and	CCONJ
ajst-31992	54	49	high	high	ADJ
ajst-31992	54	50	latency	latency	NOUN
ajst-31992	54	51	problem	problem	NOUN
ajst-31992	54	52	of	of	ADP
ajst-31992	54	53	live	live	ADJ
ajst-31992	55	1	https://webofscience.clarivate.cn/wos/author/record/14329414	https://webofscience.clarivate.cn/wos/author/record/14329414	X
ajst-31992	55	2	https://webofscience.clarivate.cn/wos/author/record/17969217	https://webofscience.clarivate.cn/wos/author/record/17969217	PUNCT
ajst-31992	56	1	https://webofscience.clarivate.cn/wos/author/record/15169775	https://webofscience.clarivate.cn/wos/author/record/15169775	NOUN
ajst-31992	56	2	24	24	NUM
ajst-31992	56	3	online	online	ADJ
ajst-31992	56	4	classes	class	NOUN
ajst-31992	56	5	in	in	ADP
ajst-31992	56	6	remote	remote	ADJ
ajst-31992	56	7	areas	area	NOUN
ajst-31992	56	8	due	due	ADJ
ajst-31992	56	9	to	to	ADP
ajst-31992	56	10	insufficient	insufficient	ADJ
ajst-31992	56	11	bandwidth	bandwidth	NOUN
ajst-31992	56	12	in	in	ADP
ajst-31992	56	13	cellular	cellular	ADJ
ajst-31992	56	14	networks	network	NOUN
ajst-31992	56	15	.	.	PUNCT
ajst-31992	57	1	there	there	PRON
ajst-31992	57	2	are	be	VERB
ajst-31992	57	3	also	also	ADV
ajst-31992	57	4	arithmetic	arithmetic	ADJ
ajst-31992	57	5	-	-	PUNCT
ajst-31992	57	6	saving	save	VERB
ajst-31992	57	7	methods	method	NOUN
ajst-31992	57	8	such	such	ADJ
ajst-31992	57	9	as	as	ADP
ajst-31992	57	10	anzhe	anzhe	PROPN
ajst-31992	57	11	chen	chen	PROPN
ajst-31992	57	12	et	et	PROPN
ajst-31992	57	13	al	al	PROPN
ajst-31992	58	1	[	[	X
ajst-31992	58	2	12	12	NUM
ajst-31992	58	3	]	]	PUNCT
ajst-31992	58	4	proposed	propose	VERB
ajst-31992	58	5	to	to	PART
ajst-31992	58	6	propose	propose	VERB
ajst-31992	58	7	a	a	DET
ajst-31992	58	8	compact	compact	ADJ
ajst-31992	58	9	model	model	NOUN
ajst-31992	58	10	with	with	ADP
ajst-31992	58	11	a	a	DET
ajst-31992	58	12	unified	unified	ADJ
ajst-31992	58	13	multi	multi	ADJ
ajst-31992	58	14	-	-	ADJ
ajst-31992	58	15	operation	operation	ADJ
ajst-31992	58	16	scheme	scheme	NOUN
ajst-31992	58	17	to	to	PART
ajst-31992	58	18	obtain	obtain	VERB
ajst-31992	58	19	the	the	DET
ajst-31992	58	20	best	good	ADJ
ajst-31992	58	21	operating	operating	NOUN
ajst-31992	58	22	conditions	condition	NOUN
ajst-31992	58	23	by	by	ADP
ajst-31992	58	24	deriving	derive	VERB
ajst-31992	58	25	a	a	DET
ajst-31992	58	26	stochastically	stochastically	ADV
ajst-31992	58	27	switched	switch	VERB
ajst-31992	58	28	differentiable	differentiable	ADJ
ajst-31992	58	29	distribution	distribution	NOUN
ajst-31992	58	30	model	model	NOUN
ajst-31992	58	31	for	for	ADP
ajst-31992	58	32	co	co	NOUN
ajst-31992	58	33	-	-	NOUN
ajst-31992	58	34	optimization	optimization	NOUN
ajst-31992	58	35	with	with	ADP
ajst-31992	58	36	neural	neural	ADJ
ajst-31992	58	37	networks	network	NOUN
ajst-31992	58	38	.	.	PUNCT
ajst-31992	59	1	compact	compact	ADJ
ajst-31992	59	2	network	network	NOUN
ajst-31992	59	3	comparing	compare	VERB
ajst-31992	59	4	parameter	parameter	NOUN
ajst-31992	59	5	compression	compression	NOUN
ajst-31992	59	6	does	do	AUX
ajst-31992	59	7	not	not	PART
ajst-31992	59	8	need	need	VERB
ajst-31992	59	9	to	to	PART
ajst-31992	59	10	use	use	VERB
ajst-31992	59	11	pre	pre	ADJ
ajst-31992	59	12	-	-	ADJ
ajst-31992	59	13	trained	train	VERB
ajst-31992	59	14	large	large	ADJ
ajst-31992	59	15	model	model	NOUN
ajst-31992	59	16	,	,	PUNCT
ajst-31992	59	17	and	and	CCONJ
ajst-31992	59	18	does	do	AUX
ajst-31992	59	19	not	not	PART
ajst-31992	59	20	need	need	VERB
ajst-31992	59	21	to	to	PART
ajst-31992	59	22	be	be	AUX
ajst-31992	59	23	fine	fine	ADV
ajst-31992	59	24	-	-	PUNCT
ajst-31992	59	25	tuned	tune	VERB
ajst-31992	59	26	to	to	PART
ajst-31992	59	27	improve	improve	VERB
ajst-31992	59	28	the	the	DET
ajst-31992	59	29	performance	performance	NOUN
ajst-31992	59	30	,	,	PUNCT
ajst-31992	59	31	which	which	PRON
ajst-31992	59	32	relatively	relatively	ADV
ajst-31992	59	33	saves	save	VERB
ajst-31992	59	34	time	time	NOUN
ajst-31992	59	35	and	and	CCONJ
ajst-31992	59	36	cost	cost	NOUN
ajst-31992	59	37	,	,	PUNCT
ajst-31992	59	38	and	and	CCONJ
ajst-31992	59	39	has	have	VERB
ajst-31992	59	40	the	the	DET
ajst-31992	59	41	characteristics	characteristic	NOUN
ajst-31992	59	42	of	of	ADP
ajst-31992	59	43	less	less	ADJ
ajst-31992	59	44	storage	storage	NOUN
ajst-31992	59	45	arithmetic	arithmetic	ADJ
ajst-31992	59	46	overhead	overhead	NOUN
ajst-31992	59	47	and	and	CCONJ
ajst-31992	59	48	superior	superior	ADJ
ajst-31992	59	49	network	network	NOUN
ajst-31992	59	50	performance	performance	NOUN
ajst-31992	59	51	,	,	PUNCT
ajst-31992	59	52	but	but	CCONJ
ajst-31992	59	53	due	due	ADP
ajst-31992	59	54	to	to	ADP
ajst-31992	59	55	the	the	DET
ajst-31992	59	56	special	special	ADJ
ajst-31992	59	57	structure	structure	NOUN
ajst-31992	59	58	,	,	PUNCT
ajst-31992	59	59	it	it	PRON
ajst-31992	59	60	is	be	AUX
ajst-31992	59	61	difficult	difficult	ADJ
ajst-31992	59	62	to	to	PART
ajst-31992	59	63	be	be	AUX
ajst-31992	59	64	mixed	mix	VERB
ajst-31992	59	65	with	with	ADP
ajst-31992	59	66	other	other	ADJ
ajst-31992	59	67	methods	method	NOUN
ajst-31992	59	68	.	.	PUNCT
ajst-31992	60	1	it	it	PRON
ajst-31992	60	2	is	be	AUX
ajst-31992	60	3	not	not	PART
ajst-31992	60	4	suitable	suitable	ADJ
ajst-31992	60	5	as	as	ADP
ajst-31992	60	6	a	a	DET
ajst-31992	60	7	pretraining	pretraine	VERB
ajst-31992	60	8	model	model	NOUN
ajst-31992	60	9	.	.	PUNCT
ajst-31992	61	1	knowledge	knowledge	NOUN
ajst-31992	61	2	distillation	distillation	NOUN
ajst-31992	61	3	,	,	PUNCT
ajst-31992	61	4	i.e.	i.e.	X
ajst-31992	61	5	,	,	PUNCT
ajst-31992	61	6	the	the	DET
ajst-31992	61	7	compression	compression	NOUN
ajst-31992	61	8	model	model	NOUN
ajst-31992	61	9	used	use	VERB
ajst-31992	61	10	to	to	PART
ajst-31992	61	11	train	train	VERB
ajst-31992	61	12	a	a	DET
ajst-31992	61	13	strong	strong	ADJ
ajst-31992	61	14	classifier	classifier	NOUN
ajst-31992	61	15	with	with	ADP
ajst-31992	61	16	pseudodata	pseudodata	NOUN
ajst-31992	61	17	labeling	labeling	NOUN
ajst-31992	61	18	and	and	CCONJ
ajst-31992	61	19	replicate	replicate	VERB
ajst-31992	61	20	the	the	DET
ajst-31992	61	21	output	output	NOUN
ajst-31992	61	22	of	of	ADP
ajst-31992	61	23	the	the	DET
ajst-31992	61	24	original	original	ADJ
ajst-31992	61	25	classifier	classifier	NOUN
ajst-31992	61	26	,	,	PUNCT
ajst-31992	61	27	requires	require	VERB
ajst-31992	61	28	two	two	NUM
ajst-31992	61	29	models	model	NOUN
ajst-31992	61	30	,	,	PUNCT
ajst-31992	61	31	the	the	DET
ajst-31992	61	32	teacher	teacher	NOUN
ajst-31992	61	33	model	model	NOUN
ajst-31992	61	34	and	and	CCONJ
ajst-31992	61	35	the	the	DET
ajst-31992	61	36	student	student	NOUN
ajst-31992	61	37	model	model	NOUN
ajst-31992	61	38	.	.	PUNCT
ajst-31992	62	1	the	the	DET
ajst-31992	62	2	teacher	teacher	NOUN
ajst-31992	62	3	model	model	NOUN
ajst-31992	62	4	is	be	AUX
ajst-31992	62	5	generally	generally	ADV
ajst-31992	62	6	a	a	DET
ajst-31992	62	7	large	large	ADJ
ajst-31992	62	8	model	model	NOUN
ajst-31992	62	9	with	with	ADP
ajst-31992	62	10	relatively	relatively	ADV
ajst-31992	62	11	good	good	ADJ
ajst-31992	62	12	performance	performance	NOUN
ajst-31992	62	13	,	,	PUNCT
ajst-31992	62	14	and	and	CCONJ
ajst-31992	62	15	the	the	DET
ajst-31992	62	16	knowledge	knowledge	NOUN
ajst-31992	62	17	in	in	ADP
ajst-31992	62	18	the	the	DET
ajst-31992	62	19	teacher	teacher	NOUN
ajst-31992	62	20	model	model	NOUN
ajst-31992	62	21	is	be	AUX
ajst-31992	62	22	migrated	migrate	VERB
ajst-31992	62	23	to	to	ADP
ajst-31992	62	24	the	the	DET
ajst-31992	62	25	student	student	NOUN
ajst-31992	62	26	model	model	NOUN
ajst-31992	62	27	through	through	ADP
ajst-31992	62	28	soft	soft	ADJ
ajst-31992	62	29	targets	target	NOUN
ajst-31992	62	30	,	,	PUNCT
ajst-31992	62	31	so	so	SCONJ
ajst-31992	62	32	that	that	SCONJ
ajst-31992	62	33	the	the	DET
ajst-31992	62	34	student	student	NOUN
ajst-31992	62	35	model	model	NOUN
ajst-31992	62	36	achieves	achieve	VERB
ajst-31992	62	37	the	the	DET
ajst-31992	62	38	performance	performance	NOUN
ajst-31992	62	39	of	of	ADP
ajst-31992	62	40	the	the	DET
ajst-31992	62	41	teacher	teacher	NOUN
ajst-31992	62	42	model	model	NOUN
ajst-31992	62	43	with	with	ADP
ajst-31992	62	44	a	a	DET
ajst-31992	62	45	more	more	ADV
ajst-31992	62	46	compact	compact	ADJ
ajst-31992	62	47	and	and	CCONJ
ajst-31992	62	48	efficient	efficient	ADJ
ajst-31992	62	49	structure	structure	NOUN
ajst-31992	62	50	.	.	PUNCT
ajst-31992	63	1	in	in	ADP
ajst-31992	63	2	industrial	industrial	ADJ
ajst-31992	63	3	applications	application	NOUN
ajst-31992	63	4	zhitao	zhitao	PROPN
ajst-31992	63	5	wen	wen	PROPN
ajst-31992	63	6	et	et	PROPN
ajst-31992	63	7	al	al	PROPN
ajst-31992	64	1	[	[	X
ajst-31992	64	2	13	13	NUM
ajst-31992	64	3	]	]	PUNCT
ajst-31992	64	4	proposed	propose	VERB
ajst-31992	64	5	triple	triple	ADJ
ajst-31992	64	6	semantic	semantic	ADJ
ajst-31992	64	7	-	-	PUNCT
ajst-31992	64	8	aware	aware	ADJ
ajst-31992	64	9	knowledge	knowledge	NOUN
ajst-31992	64	10	distillation	distillation	NOUN
ajst-31992	64	11	network	network	NOUN
ajst-31992	64	12	(	(	PUNCT
ajst-31992	64	13	tskd	tskd	PROPN
ajst-31992	64	14	)	)	PUNCT
ajst-31992	64	15	,	,	PUNCT
ajst-31992	64	16	which	which	PRON
ajst-31992	64	17	contains	contain	VERB
ajst-31992	64	18	three	three	NUM
ajst-31992	64	19	modules	module	NOUN
ajst-31992	64	20	,	,	PUNCT
ajst-31992	64	21	namely	namely	ADV
ajst-31992	64	22	dual	dual	ADJ
ajst-31992	64	23	relation	relation	NOUN
ajst-31992	64	24	distillation	distillation	NOUN
ajst-31992	64	25	(	(	PUNCT
ajst-31992	64	26	drd	drd	PROPN
ajst-31992	64	27	)	)	PUNCT
ajst-31992	64	28	,	,	PUNCT
ajst-31992	64	29	decoupled	decouple	VERB
ajst-31992	64	30	expert	expert	ADJ
ajst-31992	64	31	distillation	distillation	NOUN
ajst-31992	64	32	(	(	PUNCT
ajst-31992	64	33	ded	de	VERB
ajst-31992	64	34	)	)	PUNCT
ajst-31992	64	35	and	and	CCONJ
ajst-31992	64	36	cross	cross	ADJ
ajst-31992	64	37	-	-	ADJ
ajst-31992	64	38	response	response	ADJ
ajst-31992	64	39	distillation	distillation	NOUN
ajst-31992	64	40	(	(	PUNCT
ajst-31992	64	41	crd	crd	NOUN
ajst-31992	64	42	)	)	PUNCT
ajst-31992	64	43	,	,	PUNCT
ajst-31992	64	44	to	to	PART
ajst-31992	64	45	enhance	enhance	VERB
ajst-31992	64	46	the	the	DET
ajst-31992	64	47	semantic	semantic	ADJ
ajst-31992	64	48	perception	perception	NOUN
ajst-31992	64	49	at	at	ADP
ajst-31992	64	50	the	the	DET
ajst-31992	64	51	level	level	NOUN
ajst-31992	64	52	of	of	ADP
ajst-31992	64	53	relation	relation	NOUN
ajst-31992	64	54	,	,	PUNCT
ajst-31992	64	55	feature	feature	NOUN
ajst-31992	64	56	and	and	CCONJ
ajst-31992	64	57	response	response	NOUN
ajst-31992	64	58	,	,	PUNCT
ajst-31992	64	59	respectively	respectively	ADV
ajst-31992	64	60	.	.	PUNCT
ajst-31992	65	1	in	in	ADP
ajst-31992	65	2	the	the	DET
ajst-31992	65	3	computer	computer	NOUN
ajst-31992	65	4	vision	vision	NOUN
ajst-31992	65	5	target	target	NOUN
ajst-31992	65	6	detection	detection	NOUN
ajst-31992	65	7	task	task	NOUN
ajst-31992	65	8	hong	hong	PROPN
ajst-31992	65	9	liang	liang	PROPN
ajst-31992	65	10	et	et	PROPN
ajst-31992	65	11	al	al	PROPN
ajst-31992	65	12	.	.	PROPN
ajst-31992	65	13	proposed	propose	VERB
ajst-31992	65	14	to	to	PART
ajst-31992	65	15	present	present	VERB
ajst-31992	65	16	the	the	DET
ajst-31992	65	17	adkd	adkd	NOUN
ajst-31992	65	18	framework	framework	NOUN
ajst-31992	65	19	(	(	PUNCT
ajst-31992	65	20	with	with	ADP
ajst-31992	65	21	adaptive	adaptive	ADJ
ajst-31992	65	22	generative	generative	ADJ
ajst-31992	65	23	distillation	distillation	NOUN
ajst-31992	65	24	agd	agd	PROPN
ajst-31992	65	25	and	and	CCONJ
ajst-31992	65	26	multiplexed	multiplexed	ADJ
ajst-31992	65	27	head	head	NOUN
ajst-31992	65	28	distillation	distillation	NOUN
ajst-31992	65	29	rhd	rhd	NOUN
ajst-31992	65	30	modules	module	NOUN
ajst-31992	65	31	)	)	PUNCT
ajst-31992	65	32	,	,	PUNCT
ajst-31992	65	33	which	which	PRON
ajst-31992	65	34	enhances	enhance	VERB
ajst-31992	65	35	student	student	NOUN
ajst-31992	65	36	representations	representation	NOUN
ajst-31992	65	37	through	through	ADP
ajst-31992	65	38	agd	agd	PROPN
ajst-31992	65	39	,	,	PUNCT
ajst-31992	65	40	and	and	CCONJ
ajst-31992	65	41	resolves	resolve	VERB
ajst-31992	65	42	the	the	DET
ajst-31992	65	43	target	target	NOUN
ajst-31992	65	44	discrepancy	discrepancy	NOUN
ajst-31992	65	45	by	by	ADP
ajst-31992	65	46	multiplexing	multiplexe	VERB
ajst-31992	65	47	the	the	DET
ajst-31992	65	48	teacher	teacher	NOUN
ajst-31992	65	49	detection	detection	NOUN
ajst-31992	65	50	head	head	NOUN
ajst-31992	65	51	with	with	ADP
ajst-31992	65	52	the	the	DET
ajst-31992	65	53	mask	mask	NOUN
ajst-31992	65	54	feature	feature	NOUN
ajst-31992	65	55	maps	map	NOUN
ajst-31992	65	56	using	use	VERB
ajst-31992	65	57	rhd	rhd	PROPN
ajst-31992	65	58	in	in	ADP
ajst-31992	65	59	order	order	NOUN
ajst-31992	65	60	to	to	PART
ajst-31992	65	61	solve	solve	VERB
ajst-31992	65	62	the	the	DET
ajst-31992	65	63	problem	problem	NOUN
ajst-31992	65	64	of	of	ADP
ajst-31992	65	65	inconsistency	inconsistency	NOUN
ajst-31992	65	66	between	between	ADP
ajst-31992	65	67	the	the	DET
ajst-31992	65	68	distilled	distil	VERB
ajst-31992	65	69	target	target	NOUN
ajst-31992	65	70	and	and	CCONJ
ajst-31992	65	71	the	the	DET
ajst-31992	65	72	real	real	ADJ
ajst-31992	65	73	target	target	NOUN
ajst-31992	65	74	in	in	ADP
ajst-31992	65	75	the	the	DET
ajst-31992	65	76	existing	exist	VERB
ajst-31992	65	77	knowledge	knowledge	NOUN
ajst-31992	65	78	distillation	distillation	NOUN
ajst-31992	65	79	methods	method	NOUN
ajst-31992	65	80	,	,	PUNCT
ajst-31992	65	81	as	as	ADV
ajst-31992	65	82	well	well	ADV
ajst-31992	65	83	as	as	ADP
ajst-31992	65	84	the	the	DET
ajst-31992	65	85	problem	problem	NOUN
ajst-31992	65	86	of	of	ADP
ajst-31992	65	87	the	the	DET
ajst-31992	65	88	students	student	NOUN
ajst-31992	65	89	'	'	PART
ajst-31992	65	90	network	network	NOUN
ajst-31992	65	91	to	to	ADP
ajst-31992	65	92	the	the	DET
ajst-31992	65	93	insufficient	insufficient	ADJ
ajst-31992	65	94	learning	learning	NOUN
ajst-31992	65	95	of	of	ADP
ajst-31992	65	96	teacher	teacher	NOUN
ajst-31992	65	97	features	feature	NOUN
ajst-31992	65	98	.	.	PUNCT
ajst-31992	66	1	knowledge	knowledge	NOUN
ajst-31992	66	2	distillation	distillation	NOUN
ajst-31992	66	3	can	can	AUX
ajst-31992	66	4	make	make	VERB
ajst-31992	66	5	deep	deep	ADJ
ajst-31992	66	6	networks	network	NOUN
ajst-31992	66	7	shallow	shallow	ADJ
ajst-31992	66	8	and	and	CCONJ
ajst-31992	66	9	reduce	reduce	VERB
ajst-31992	66	10	computational	computational	ADJ
ajst-31992	66	11	cost	cost	NOUN
ajst-31992	66	12	,	,	PUNCT
ajst-31992	66	13	but	but	CCONJ
ajst-31992	66	14	it	it	PRON
ajst-31992	66	15	has	have	VERB
ajst-31992	66	16	limitations	limitation	NOUN
ajst-31992	66	17	.	.	PUNCT
ajst-31992	67	1	its	its	PRON
ajst-31992	67	2	generalization	generalization	NOUN
ajst-31992	67	3	in	in	ADP
ajst-31992	67	4	other	other	ADJ
ajst-31992	67	5	tasks	task	NOUN
ajst-31992	67	6	is	be	AUX
ajst-31992	67	7	not	not	PART
ajst-31992	67	8	good	good	ADJ
ajst-31992	67	9	;	;	PUNCT
ajst-31992	67	10	and	and	CCONJ
ajst-31992	67	11	as	as	ADP
ajst-31992	67	12	of	of	ADP
ajst-31992	67	13	now	now	ADV
ajst-31992	67	14	,	,	PUNCT
ajst-31992	67	15	its	its	PRON
ajst-31992	67	16	compression	compression	NOUN
ajst-31992	67	17	ratio	ratio	NOUN
ajst-31992	67	18	and	and	CCONJ
ajst-31992	67	19	the	the	DET
ajst-31992	67	20	performance	performance	NOUN
ajst-31992	67	21	of	of	ADP
ajst-31992	67	22	the	the	DET
ajst-31992	67	23	distilled	distil	VERB
ajst-31992	67	24	model	model	NOUN
ajst-31992	67	25	still	still	ADV
ajst-31992	67	26	have	have	VERB
ajst-31992	67	27	much	much	ADJ
ajst-31992	67	28	room	room	NOUN
ajst-31992	67	29	for	for	ADP
ajst-31992	67	30	improvement	improvement	NOUN
ajst-31992	67	31	.	.	PUNCT
ajst-31992	68	1	3	3	X
ajst-31992	68	2	.	.	X
ajst-31992	68	3	application	application	NOUN
ajst-31992	68	4	scenarios	scenario	NOUN
ajst-31992	68	5	3.1	3.1	NUM
ajst-31992	68	6	autonomous	autonomous	ADJ
ajst-31992	68	7	driving	drive	VERB
ajst-31992	68	8	autonomous	autonomous	ADJ
ajst-31992	68	9	driving	driving	NOUN
ajst-31992	68	10	is	be	AUX
ajst-31992	68	11	to	to	PART
ajst-31992	68	12	allow	allow	VERB
ajst-31992	68	13	a	a	DET
ajst-31992	68	14	computer	computer	NOUN
ajst-31992	68	15	to	to	PART
ajst-31992	68	16	operate	operate	VERB
ajst-31992	68	17	a	a	DET
ajst-31992	68	18	motor	motor	NOUN
ajst-31992	68	19	vehicle	vehicle	NOUN
ajst-31992	68	20	automatically	automatically	ADV
ajst-31992	68	21	and	and	CCONJ
ajst-31992	68	22	safely	safely	ADV
ajst-31992	68	23	without	without	ADP
ajst-31992	68	24	any	any	DET
ajst-31992	68	25	human	human	ADJ
ajst-31992	68	26	initiative	initiative	NOUN
ajst-31992	68	27	.	.	PUNCT
ajst-31992	69	1	in	in	ADP
ajst-31992	69	2	its	its	PRON
ajst-31992	69	3	operation	operation	NOUN
ajst-31992	69	4	to	to	PART
ajst-31992	69	5	ensure	ensure	VERB
ajst-31992	69	6	the	the	DET
ajst-31992	69	7	safety	safety	NOUN
ajst-31992	69	8	of	of	ADP
ajst-31992	69	9	human	human	NOUN
ajst-31992	69	10	and	and	CCONJ
ajst-31992	69	11	vehicle	vehicle	NOUN
ajst-31992	69	12	,	,	PUNCT
ajst-31992	69	13	the	the	DET
ajst-31992	69	14	deep	deep	ADJ
ajst-31992	69	15	learning	learning	NOUN
ajst-31992	69	16	model	model	NOUN
ajst-31992	69	17	requires	require	VERB
ajst-31992	69	18	quick	quick	ADJ
ajst-31992	69	19	response	response	NOUN
ajst-31992	69	20	,	,	PUNCT
ajst-31992	69	21	accurate	accurate	ADJ
ajst-31992	69	22	judgment	judgment	NOUN
ajst-31992	69	23	,	,	PUNCT
ajst-31992	69	24	and	and	CCONJ
ajst-31992	69	25	can	can	AUX
ajst-31992	69	26	keep	keep	VERB
ajst-31992	69	27	driving	drive	VERB
ajst-31992	69	28	even	even	ADV
ajst-31992	69	29	in	in	ADP
ajst-31992	69	30	the	the	DET
ajst-31992	69	31	case	case	NOUN
ajst-31992	69	32	of	of	ADP
ajst-31992	69	33	disconnection	disconnection	NOUN
ajst-31992	69	34	and	and	CCONJ
ajst-31992	69	35	other	other	ADJ
ajst-31992	69	36	situations	situation	NOUN
ajst-31992	69	37	.	.	PUNCT
ajst-31992	70	1	the	the	DET
ajst-31992	70	2	lightweight	lightweight	ADJ
ajst-31992	70	3	model	model	NOUN
ajst-31992	70	4	can	can	AUX
ajst-31992	70	5	provide	provide	VERB
ajst-31992	70	6	high	high	ADJ
ajst-31992	70	7	-	-	PUNCT
ajst-31992	70	8	speed	speed	NOUN
ajst-31992	70	9	processing	processing	NOUN
ajst-31992	70	10	under	under	ADP
ajst-31992	70	11	the	the	DET
ajst-31992	70	12	limited	limited	ADJ
ajst-31992	70	13	arithmetic	arithmetic	ADJ
ajst-31992	70	14	power	power	NOUN
ajst-31992	70	15	of	of	ADP
ajst-31992	70	16	the	the	DET
ajst-31992	70	17	vehicle	vehicle	NOUN
ajst-31992	70	18	.	.	PUNCT
ajst-31992	71	1	3.2	3.2	NUM
ajst-31992	71	2	real	real	ADJ
ajst-31992	71	3	-	-	PUNCT
ajst-31992	71	4	time	time	NOUN
ajst-31992	71	5	diagnosis	diagnosis	NOUN
ajst-31992	71	6	of	of	ADP
ajst-31992	71	7	medical	medical	ADJ
ajst-31992	71	8	images	image	NOUN
ajst-31992	71	9	real	real	ADJ
ajst-31992	71	10	-	-	PUNCT
ajst-31992	71	11	time	time	NOUN
ajst-31992	71	12	diagnosis	diagnosis	NOUN
ajst-31992	71	13	of	of	ADP
ajst-31992	71	14	medical	medical	ADJ
ajst-31992	71	15	images	image	NOUN
ajst-31992	71	16	is	be	AUX
ajst-31992	71	17	to	to	PART
ajst-31992	71	18	use	use	VERB
ajst-31992	71	19	ai	ai	PRON
ajst-31992	71	20	technology	technology	NOUN
ajst-31992	71	21	to	to	PART
ajst-31992	71	22	quickly	quickly	ADV
ajst-31992	71	23	and	and	CCONJ
ajst-31992	71	24	automatically	automatically	ADV
ajst-31992	71	25	analyze	analyze	VERB
ajst-31992	71	26	medical	medical	ADJ
ajst-31992	71	27	images	image	NOUN
ajst-31992	71	28	to	to	PART
ajst-31992	71	29	assist	assist	VERB
ajst-31992	71	30	doctors	doctor	NOUN
ajst-31992	71	31	in	in	ADP
ajst-31992	71	32	identifying	identify	VERB
ajst-31992	71	33	lesions	lesion	NOUN
ajst-31992	71	34	and	and	CCONJ
ajst-31992	71	35	making	make	VERB
ajst-31992	71	36	preliminary	preliminary	ADJ
ajst-31992	71	37	judgments	judgment	NOUN
ajst-31992	71	38	.	.	PUNCT
ajst-31992	72	1	in	in	ADP
ajst-31992	72	2	its	its	PRON
ajst-31992	72	3	application	application	NOUN
ajst-31992	72	4	scenarios	scenario	NOUN
ajst-31992	72	5	,	,	PUNCT
ajst-31992	72	6	especially	especially	ADV
ajst-31992	72	7	in	in	ADP
ajst-31992	72	8	emergency	emergency	NOUN
ajst-31992	72	9	rescue	rescue	NOUN
ajst-31992	72	10	,	,	PUNCT
ajst-31992	72	11	remote	remote	ADJ
ajst-31992	72	12	area	area	NOUN
ajst-31992	72	13	consultation	consultation	NOUN
ajst-31992	72	14	or	or	CCONJ
ajst-31992	72	15	grassroots	grassroots	ADJ
ajst-31992	72	16	hospitals	hospital	NOUN
ajst-31992	72	17	,	,	PUNCT
ajst-31992	72	18	the	the	DET
ajst-31992	72	19	diagnostic	diagnostic	ADJ
ajst-31992	72	20	model	model	NOUN
ajst-31992	72	21	needs	need	VERB
ajst-31992	72	22	to	to	PART
ajst-31992	72	23	be	be	AUX
ajst-31992	72	24	able	able	ADJ
ajst-31992	72	25	to	to	PART
ajst-31992	72	26	respond	respond	VERB
ajst-31992	72	27	instantly	instantly	ADV
ajst-31992	72	28	,	,	PUNCT
ajst-31992	72	29	accurately	accurately	ADV
ajst-31992	72	30	identify	identify	VERB
ajst-31992	72	31	key	key	ADJ
ajst-31992	72	32	pathological	pathological	ADJ
ajst-31992	72	33	features	feature	NOUN
ajst-31992	72	34	,	,	PUNCT
ajst-31992	72	35	and	and	CCONJ
ajst-31992	72	36	work	work	VERB
ajst-31992	72	37	independently	independently	ADV
ajst-31992	72	38	in	in	ADP
ajst-31992	72	39	unstable	unstable	ADJ
ajst-31992	72	40	networks	network	NOUN
ajst-31992	72	41	or	or	CCONJ
ajst-31992	72	42	even	even	ADV
ajst-31992	72	43	disconnected	disconnected	ADJ
ajst-31992	72	44	environments	environment	NOUN
ajst-31992	72	45	.	.	PUNCT
ajst-31992	73	1	lightweight	lightweight	ADJ
ajst-31992	73	2	models	model	NOUN
ajst-31992	73	3	can	can	AUX
ajst-31992	73	4	run	run	VERB
ajst-31992	73	5	efficiently	efficiently	ADV
ajst-31992	73	6	with	with	ADP
ajst-31992	73	7	limited	limited	ADJ
ajst-31992	73	8	computing	computing	NOUN
ajst-31992	73	9	power	power	NOUN
ajst-31992	73	10	on	on	ADP
ajst-31992	73	11	mobile	mobile	ADJ
ajst-31992	73	12	or	or	CCONJ
ajst-31992	73	13	edge	edge	NOUN
ajst-31992	73	14	devices	device	NOUN
ajst-31992	73	15	to	to	PART
ajst-31992	73	16	provide	provide	VERB
ajst-31992	73	17	reliable	reliable	ADJ
ajst-31992	73	18	and	and	CCONJ
ajst-31992	73	19	immediate	immediate	ADJ
ajst-31992	73	20	diagnostic	diagnostic	ADJ
ajst-31992	73	21	support	support	NOUN
ajst-31992	73	22	.	.	PUNCT
ajst-31992	74	1	3.3	3.3	NUM
ajst-31992	74	2	autonomous	autonomous	ADJ
ajst-31992	74	3	forest	forest	NOUN
ajst-31992	74	4	inspection	inspection	NOUN
ajst-31992	74	5	by	by	ADP
ajst-31992	74	6	uav	uav	PROPN
ajst-31992	74	7	autonomous	autonomous	PROPN
ajst-31992	74	8	forest	forest	NOUN
ajst-31992	74	9	inspection	inspection	NOUN
ajst-31992	74	10	by	by	ADP
ajst-31992	74	11	uav	uav	PROPN
ajst-31992	74	12	requires	require	VERB
ajst-31992	74	13	uavs	uavs	NOUN
ajst-31992	74	14	to	to	PART
ajst-31992	74	15	fly	fly	VERB
ajst-31992	74	16	independently	independently	ADV
ajst-31992	74	17	in	in	ADP
ajst-31992	74	18	forested	forest	VERB
ajst-31992	74	19	areas	area	NOUN
ajst-31992	74	20	to	to	PART
ajst-31992	74	21	identify	identify	VERB
ajst-31992	74	22	fire	fire	NOUN
ajst-31992	74	23	hazards	hazard	NOUN
ajst-31992	74	24	(	(	PUNCT
ajst-31992	74	25	e.g.	e.g.	ADV
ajst-31992	74	26	,	,	PUNCT
ajst-31992	74	27	smoke	smoke	NOUN
ajst-31992	74	28	spots	spot	NOUN
ajst-31992	74	29	,	,	PUNCT
ajst-31992	74	30	hot	hot	ADJ
ajst-31992	74	31	zones	zone	NOUN
ajst-31992	74	32	)	)	PUNCT
ajst-31992	74	33	,	,	PUNCT
ajst-31992	74	34	pest	pest	VERB
ajst-31992	74	35	and	and	CCONJ
ajst-31992	74	36	disease	disease	NOUN
ajst-31992	74	37	areas	area	NOUN
ajst-31992	74	38	,	,	PUNCT
ajst-31992	74	39	or	or	CCONJ
ajst-31992	74	40	signs	sign	NOUN
ajst-31992	74	41	of	of	ADP
ajst-31992	74	42	illegal	illegal	ADJ
ajst-31992	74	43	logging	logging	NOUN
ajst-31992	74	44	in	in	ADP
ajst-31992	74	45	real	real	ADJ
ajst-31992	74	46	time	time	NOUN
ajst-31992	74	47	.	.	PUNCT
ajst-31992	75	1	in	in	ADP
ajst-31992	75	2	the	the	DET
ajst-31992	75	3	face	face	NOUN
ajst-31992	75	4	of	of	ADP
ajst-31992	75	5	the	the	DET
ajst-31992	75	6	complex	complex	ADJ
ajst-31992	75	7	and	and	CCONJ
ajst-31992	75	8	changing	change	VERB
ajst-31992	75	9	forest	forest	NOUN
ajst-31992	75	10	environment	environment	NOUN
ajst-31992	75	11	and	and	CCONJ
ajst-31992	75	12	communication	communication	NOUN
ajst-31992	75	13	delays	delay	NOUN
ajst-31992	75	14	caused	cause	VERB
ajst-31992	75	15	by	by	ADP
ajst-31992	75	16	long	long	ADJ
ajst-31992	75	17	-	-	PUNCT
ajst-31992	75	18	distance	distance	NOUN
ajst-31992	75	19	flights	flight	NOUN
ajst-31992	75	20	,	,	PUNCT
ajst-31992	75	21	it	it	PRON
ajst-31992	75	22	is	be	AUX
ajst-31992	75	23	necessary	necessary	ADJ
ajst-31992	75	24	to	to	PART
ajst-31992	75	25	quickly	quickly	ADV
ajst-31992	75	26	parse	parse	VERB
ajst-31992	75	27	the	the	DET
ajst-31992	75	28	camera	camera	NOUN
ajst-31992	75	29	and	and	CCONJ
ajst-31992	75	30	sensor	sensor	NOUN
ajst-31992	75	31	data	datum	NOUN
ajst-31992	75	32	on	on	ADP
ajst-31992	75	33	the	the	DET
ajst-31992	75	34	25	25	NUM
ajst-31992	75	35	airborne	airborne	ADJ
ajst-31992	75	36	side	side	NOUN
ajst-31992	75	37	,	,	PUNCT
ajst-31992	75	38	and	and	CCONJ
ajst-31992	75	39	have	have	VERB
ajst-31992	75	40	the	the	DET
ajst-31992	75	41	ability	ability	NOUN
ajst-31992	75	42	to	to	PART
ajst-31992	75	43	autonomously	autonomously	ADV
ajst-31992	75	44	avoid	avoid	VERB
ajst-31992	75	45	obstacles	obstacle	NOUN
ajst-31992	75	46	and	and	CCONJ
ajst-31992	75	47	continue	continue	VERB
ajst-31992	75	48	to	to	PART
ajst-31992	75	49	carry	carry	VERB
ajst-31992	75	50	out	out	ADP
ajst-31992	75	51	the	the	DET
ajst-31992	75	52	inspection	inspection	NOUN
ajst-31992	75	53	task	task	NOUN
ajst-31992	75	54	.	.	PUNCT
ajst-31992	76	1	the	the	DET
ajst-31992	76	2	lightweight	lightweight	ADJ
ajst-31992	76	3	model	model	NOUN
ajst-31992	76	4	can	can	AUX
ajst-31992	76	5	process	process	VERB
ajst-31992	76	6	the	the	DET
ajst-31992	76	7	image	image	NOUN
ajst-31992	76	8	information	information	NOUN
ajst-31992	76	9	at	at	ADP
ajst-31992	76	10	high	high	ADJ
ajst-31992	76	11	speed	speed	NOUN
ajst-31992	76	12	with	with	ADP
ajst-31992	76	13	limited	limited	ADJ
ajst-31992	76	14	computing	computing	NOUN
ajst-31992	76	15	power	power	NOUN
ajst-31992	76	16	and	and	CCONJ
ajst-31992	76	17	respond	respond	VERB
ajst-31992	76	18	quickly	quickly	ADV
ajst-31992	76	19	.	.	PUNCT
ajst-31992	77	1	4	4	X
ajst-31992	77	2	.	.	X
ajst-31992	77	3	key	key	ADJ
ajst-31992	77	4	challenges	challenge	NOUN
ajst-31992	77	5	4.1	4.1	NUM
ajst-31992	77	6	the	the	DET
ajst-31992	77	7	optimization	optimization	NOUN
ajst-31992	77	8	problem	problem	NOUN
ajst-31992	77	9	of	of	ADP
ajst-31992	77	10	trade	trade	NOUN
ajst-31992	77	11	-	-	PUNCT
ajst-31992	77	12	offs	off	NOUN
ajst-31992	77	13	between	between	ADP
ajst-31992	77	14	accuracy	accuracy	NOUN
ajst-31992	77	15	and	and	CCONJ
ajst-31992	77	16	performance	performance	NOUN
ajst-31992	77	17	optimization	optimization	NOUN
ajst-31992	77	18	problem	problem	NOUN
ajst-31992	77	19	of	of	ADP
ajst-31992	77	20	accuracy	accuracy	NOUN
ajst-31992	77	21	and	and	CCONJ
ajst-31992	77	22	performance	performance	NOUN
ajst-31992	77	23	trade	trade	NOUN
ajst-31992	77	24	-	-	PUNCT
ajst-31992	77	25	offs	off	NOUN
ajst-31992	77	26	.	.	PUNCT
ajst-31992	78	1	edge	edge	NOUN
ajst-31992	78	2	devices	device	NOUN
ajst-31992	78	3	typically	typically	ADV
ajst-31992	78	4	have	have	VERB
ajst-31992	78	5	tight	tight	ADJ
ajst-31992	78	6	resource	resource	NOUN
ajst-31992	78	7	constraints	constraint	NOUN
ajst-31992	78	8	and	and	CCONJ
ajst-31992	78	9	limited	limited	ADJ
ajst-31992	78	10	computational	computational	ADJ
ajst-31992	78	11	power	power	NOUN
ajst-31992	78	12	,	,	PUNCT
ajst-31992	78	13	memory	memory	NOUN
ajst-31992	78	14	capacity	capacity	NOUN
ajst-31992	78	15	,	,	PUNCT
ajst-31992	78	16	storage	storage	NOUN
ajst-31992	78	17	space	space	NOUN
ajst-31992	78	18	,	,	PUNCT
ajst-31992	78	19	and	and	CCONJ
ajst-31992	78	20	power	power	NOUN
ajst-31992	78	21	consumption	consumption	NOUN
ajst-31992	78	22	budgets	budget	NOUN
ajst-31992	78	23	.	.	PUNCT
ajst-31992	79	1	the	the	DET
ajst-31992	79	2	deployment	deployment	NOUN
ajst-31992	79	3	of	of	ADP
ajst-31992	79	4	deep	deep	ADJ
ajst-31992	79	5	learning	learning	NOUN
ajst-31992	79	6	models	model	NOUN
ajst-31992	79	7	on	on	ADP
ajst-31992	79	8	them	they	PRON
ajst-31992	79	9	inevitably	inevitably	ADV
ajst-31992	79	10	requires	require	VERB
ajst-31992	79	11	lightweighting	lightweighte	VERB
ajst-31992	79	12	of	of	ADP
ajst-31992	79	13	the	the	DET
ajst-31992	79	14	models	model	NOUN
ajst-31992	79	15	.	.	PUNCT
ajst-31992	80	1	in	in	ADP
ajst-31992	80	2	the	the	DET
ajst-31992	80	3	process	process	NOUN
ajst-31992	80	4	of	of	ADP
ajst-31992	80	5	lightweight	lightweight	ADJ
ajst-31992	80	6	compression	compression	NOUN
ajst-31992	80	7	,	,	PUNCT
ajst-31992	80	8	too	too	ADV
ajst-31992	80	9	much	much	ADJ
ajst-31992	80	10	pursuit	pursuit	NOUN
ajst-31992	80	11	of	of	ADP
ajst-31992	80	12	lightweight	lightweight	ADJ
ajst-31992	80	13	reasoning	reasoning	NOUN
ajst-31992	80	14	speed	speed	NOUN
ajst-31992	80	15	may	may	AUX
ajst-31992	80	16	lead	lead	VERB
ajst-31992	80	17	to	to	ADP
ajst-31992	80	18	the	the	DET
ajst-31992	80	19	model	model	NOUN
ajst-31992	80	20	in	in	ADP
ajst-31992	80	21	the	the	DET
ajst-31992	80	22	complex	complex	ADJ
ajst-31992	80	23	data	datum	NOUN
ajst-31992	80	24	,	,	PUNCT
ajst-31992	80	25	the	the	DET
ajst-31992	80	26	performance	performance	NOUN
ajst-31992	80	27	of	of	ADP
ajst-31992	80	28	the	the	DET
ajst-31992	80	29	decline	decline	NOUN
ajst-31992	80	30	and	and	CCONJ
ajst-31992	80	31	can	can	AUX
ajst-31992	80	32	not	not	PART
ajst-31992	80	33	meet	meet	VERB
ajst-31992	80	34	the	the	DET
ajst-31992	80	35	accurate	accurate	ADJ
ajst-31992	80	36	demand	demand	NOUN
ajst-31992	80	37	,	,	PUNCT
ajst-31992	80	38	and	and	CCONJ
ajst-31992	80	39	vice	vice	ADV
ajst-31992	80	40	versa	versa	ADV
ajst-31992	80	41	,	,	PUNCT
ajst-31992	80	42	excessive	excessive	ADJ
ajst-31992	80	43	requirements	requirement	NOUN
ajst-31992	80	44	on	on	ADP
ajst-31992	80	45	the	the	DET
ajst-31992	80	46	accuracy	accuracy	NOUN
ajst-31992	80	47	level	level	NOUN
ajst-31992	80	48	of	of	ADP
ajst-31992	80	49	the	the	DET
ajst-31992	80	50	model	model	NOUN
ajst-31992	80	51	may	may	AUX
ajst-31992	80	52	not	not	PART
ajst-31992	80	53	be	be	AUX
ajst-31992	80	54	able	able	ADJ
ajst-31992	80	55	to	to	PART
ajst-31992	80	56	effectively	effectively	ADV
ajst-31992	80	57	run	run	VERB
ajst-31992	80	58	in	in	ADP
ajst-31992	80	59	the	the	DET
ajst-31992	80	60	current	current	ADJ
ajst-31992	80	61	edge	edge	NOUN
ajst-31992	80	62	equipment	equipment	NOUN
ajst-31992	80	63	under	under	ADP
ajst-31992	80	64	the	the	DET
ajst-31992	80	65	substantive	substantive	ADJ
ajst-31992	80	66	requirements	requirement	NOUN
ajst-31992	80	67	and	and	CCONJ
ajst-31992	80	68	functionality	functionality	NOUN
ajst-31992	80	69	,	,	PUNCT
ajst-31992	80	70	so	so	ADV
ajst-31992	80	71	in	in	ADP
ajst-31992	80	72	the	the	DET
ajst-31992	80	73	limited	limited	ADJ
ajst-31992	80	74	resources	resource	NOUN
ajst-31992	80	75	of	of	ADP
ajst-31992	80	76	the	the	DET
ajst-31992	80	77	edge	edge	NOUN
ajst-31992	80	78	equipment	equipment	NOUN
ajst-31992	80	79	and	and	CCONJ
ajst-31992	80	80	the	the	DET
ajst-31992	80	81	application	application	NOUN
ajst-31992	80	82	scenario	scenario	NOUN
ajst-31992	80	83	of	of	ADP
ajst-31992	80	84	the	the	DET
ajst-31992	80	85	rigid	rigid	ADJ
ajst-31992	80	86	demand	demand	NOUN
ajst-31992	80	87	for	for	ADP
ajst-31992	80	88	accuracy	accuracy	NOUN
ajst-31992	80	89	and	and	CCONJ
ajst-31992	80	90	performance	performance	NOUN
ajst-31992	80	91	,	,	PUNCT
ajst-31992	80	92	an	an	DET
ajst-31992	80	93	optimal	optimal	ADJ
ajst-31992	80	94	balance	balance	NOUN
ajst-31992	80	95	needs	need	VERB
ajst-31992	80	96	to	to	PART
ajst-31992	80	97	be	be	AUX
ajst-31992	80	98	sought	seek	VERB
ajst-31992	80	99	between	between	ADP
ajst-31992	80	100	.	.	PUNCT
ajst-31992	81	1	therefore	therefore	ADV
ajst-31992	81	2	,	,	PUNCT
ajst-31992	81	3	an	an	DET
ajst-31992	81	4	optimal	optimal	ADJ
ajst-31992	81	5	balance	balance	NOUN
ajst-31992	81	6	needs	need	VERB
ajst-31992	81	7	to	to	PART
ajst-31992	81	8	be	be	AUX
ajst-31992	81	9	sought	seek	VERB
ajst-31992	81	10	between	between	ADP
ajst-31992	81	11	the	the	DET
ajst-31992	81	12	limited	limited	ADJ
ajst-31992	81	13	resources	resource	NOUN
ajst-31992	81	14	of	of	ADP
ajst-31992	81	15	edge	edge	NOUN
ajst-31992	81	16	devices	device	NOUN
ajst-31992	81	17	and	and	CCONJ
ajst-31992	81	18	the	the	DET
ajst-31992	81	19	rigid	rigid	ADJ
ajst-31992	81	20	demands	demand	NOUN
ajst-31992	81	21	for	for	ADP
ajst-31992	81	22	accuracy	accuracy	NOUN
ajst-31992	81	23	and	and	CCONJ
ajst-31992	81	24	performance	performance	NOUN
ajst-31992	81	25	of	of	ADP
ajst-31992	81	26	application	application	NOUN
ajst-31992	81	27	scenarios	scenario	NOUN
ajst-31992	81	28	.	.	PUNCT
ajst-31992	82	1	4.2	4.2	NUM
ajst-31992	82	2	compression	compression	NOUN
ajst-31992	82	3	and	and	CCONJ
ajst-31992	82	4	optimization	optimization	NOUN
ajst-31992	82	5	technology	technology	NOUN
ajst-31992	82	6	cost	cost	NOUN
ajst-31992	82	7	issues	issue	NOUN
ajst-31992	82	8	if	if	SCONJ
ajst-31992	82	9	the	the	DET
ajst-31992	82	10	compression	compression	NOUN
ajst-31992	82	11	methods	method	NOUN
ajst-31992	82	12	sorted	sort	VERB
ajst-31992	82	13	out	out	ADP
ajst-31992	82	14	in	in	ADP
ajst-31992	82	15	this	this	DET
ajst-31992	82	16	paper	paper	NOUN
ajst-31992	82	17	have	have	VERB
ajst-31992	82	18	many	many	ADJ
ajst-31992	82	19	,	,	PUNCT
ajst-31992	82	20	each	each	PRON
ajst-31992	82	21	with	with	ADP
ajst-31992	82	22	its	its	PRON
ajst-31992	82	23	own	own	ADJ
ajst-31992	82	24	advantages	advantage	NOUN
ajst-31992	82	25	and	and	CCONJ
ajst-31992	82	26	disadvantages	disadvantage	NOUN
ajst-31992	82	27	,	,	PUNCT
ajst-31992	82	28	can	can	AUX
ajst-31992	82	29	be	be	AUX
ajst-31992	82	30	mixed	mix	VERB
ajst-31992	82	31	use	use	NOUN
ajst-31992	82	32	use	use	NOUN
ajst-31992	82	33	yes	yes	INTJ
ajst-31992	82	34	how	how	SCONJ
ajst-31992	82	35	to	to	PART
ajst-31992	82	36	debug	debug	VERB
ajst-31992	82	37	after	after	ADP
ajst-31992	82	38	use	use	NOUN
ajst-31992	82	39	is	be	AUX
ajst-31992	82	40	its	its	PRON
ajst-31992	82	41	primary	primary	ADJ
ajst-31992	82	42	problem	problem	NOUN
ajst-31992	82	43	how	how	SCONJ
ajst-31992	82	44	to	to	PART
ajst-31992	82	45	tradeoff	tradeoff	VERB
ajst-31992	82	46	manual	manual	ADJ
ajst-31992	82	47	micro	micro	NOUN
ajst-31992	82	48	-	-	NOUN
ajst-31992	82	49	debugging	debugging	ADJ
ajst-31992	82	50	relies	relie	NOUN
ajst-31992	82	51	on	on	ADP
ajst-31992	82	52	experts	expert	NOUN
ajst-31992	82	53	with	with	ADP
ajst-31992	82	54	high	high	ADJ
ajst-31992	82	55	costs	cost	NOUN
ajst-31992	82	56	,	,	PUNCT
ajst-31992	82	57	and	and	CCONJ
ajst-31992	82	58	automated	automate	VERB
ajst-31992	82	59	methods	method	NOUN
ajst-31992	82	60	with	with	ADP
ajst-31992	82	61	high	high	ADJ
ajst-31992	82	62	time	time	NOUN
ajst-31992	82	63	costs，the	costs，the	DET
ajst-31992	82	64	computational	computational	ADJ
ajst-31992	82	65	cost	cost	NOUN
ajst-31992	82	66	is	be	AUX
ajst-31992	82	67	high	high	ADJ
ajst-31992	82	68	in	in	ADP
ajst-31992	82	69	the	the	DET
ajst-31992	82	70	neural	neural	ADJ
ajst-31992	82	71	architecture	architecture	NOUN
ajst-31992	82	72	search	search	NOUN
ajst-31992	82	73	(	(	PUNCT
ajst-31992	82	74	nas	nas	NOUN
ajst-31992	82	75	)	)	PUNCT
ajst-31992	82	76	approach	approach	NOUN
ajst-31992	82	77	.	.	PUNCT
ajst-31992	83	1	5	5	X
ajst-31992	83	2	.	.	X
ajst-31992	83	3	future	future	ADJ
ajst-31992	83	4	direction	direction	NOUN
ajst-31992	83	5	5.1	5.1	NUM
ajst-31992	83	6	tackling	tackle	VERB
ajst-31992	83	7	the	the	DET
ajst-31992	83	8	trade	trade	NOUN
ajst-31992	83	9	-	-	PUNCT
ajst-31992	83	10	off	off	ADP
ajst-31992	83	11	optimization	optimization	NOUN
ajst-31992	83	12	problem	problem	NOUN
ajst-31992	83	13	of	of	ADP
ajst-31992	83	14	accuracy	accuracy	NOUN
ajst-31992	83	15	and	and	CCONJ
ajst-31992	83	16	performance	performance	NOUN
ajst-31992	83	17	to	to	PART
ajst-31992	83	18	cope	cope	VERB
ajst-31992	83	19	with	with	ADP
ajst-31992	83	20	the	the	DET
ajst-31992	83	21	trade	trade	NOUN
ajst-31992	83	22	-	-	PUNCT
ajst-31992	83	23	off	off	NOUN
ajst-31992	83	24	between	between	ADP
ajst-31992	83	25	accuracy	accuracy	NOUN
ajst-31992	83	26	and	and	CCONJ
ajst-31992	83	27	performance	performance	NOUN
ajst-31992	83	28	optimization	optimization	NOUN
ajst-31992	83	29	problem	problem	NOUN
ajst-31992	83	30	now	now	ADV
ajst-31992	83	31	there	there	PRON
ajst-31992	83	32	are	be	VERB
ajst-31992	83	33	two	two	NUM
ajst-31992	83	34	kinds	kind	NOUN
ajst-31992	83	35	of	of	ADP
ajst-31992	83	36	solution	solution	NOUN
ajst-31992	83	37	ideas	idea	NOUN
ajst-31992	83	38	adaptive	adaptive	ADJ
ajst-31992	83	39	compression	compression	NOUN
ajst-31992	83	40	technology	technology	NOUN
ajst-31992	83	41	and	and	CCONJ
ajst-31992	83	42	dynamic	dynamic	ADJ
ajst-31992	83	43	optimization	optimization	NOUN
ajst-31992	83	44	technology	technology	NOUN
ajst-31992	83	45	.	.	PUNCT
ajst-31992	84	1	adaptive	adaptive	ADJ
ajst-31992	84	2	compression	compression	NOUN
ajst-31992	84	3	is	be	AUX
ajst-31992	84	4	a	a	DET
ajst-31992	84	5	technique	technique	NOUN
ajst-31992	84	6	that	that	PRON
ajst-31992	84	7	dynamically	dynamically	ADV
ajst-31992	84	8	selects	select	VERB
ajst-31992	84	9	the	the	DET
ajst-31992	84	10	optimal	optimal	ADJ
ajst-31992	84	11	compression	compression	NOUN
ajst-31992	84	12	algorithm	algorithm	NOUN
ajst-31992	84	13	based	base	VERB
ajst-31992	84	14	on	on	ADP
ajst-31992	84	15	data	datum	NOUN
ajst-31992	84	16	characteristics	characteristic	NOUN
ajst-31992	84	17	.	.	PUNCT
ajst-31992	85	1	its	its	PRON
ajst-31992	85	2	main	main	ADJ
ajst-31992	85	3	purpose	purpose	NOUN
ajst-31992	85	4	is	be	AUX
ajst-31992	85	5	to	to	PART
ajst-31992	85	6	automatically	automatically	ADV
ajst-31992	85	7	adjust	adjust	VERB
ajst-31992	85	8	the	the	DET
ajst-31992	85	9	compression	compression	NOUN
ajst-31992	85	10	strategy	strategy	NOUN
ajst-31992	85	11	in	in	ADP
ajst-31992	85	12	different	different	ADJ
ajst-31992	85	13	data	datum	NOUN
ajst-31992	85	14	scenarios	scenario	NOUN
ajst-31992	85	15	to	to	PART
ajst-31992	85	16	achieve	achieve	VERB
ajst-31992	85	17	the	the	DET
ajst-31992	85	18	best	good	ADJ
ajst-31992	85	19	compression	compression	NOUN
ajst-31992	85	20	effect	effect	NOUN
ajst-31992	85	21	and	and	CCONJ
ajst-31992	85	22	performance	performance	NOUN
ajst-31992	85	23	.	.	PUNCT
ajst-31992	86	1	generally	generally	ADV
ajst-31992	86	2	,	,	PUNCT
ajst-31992	86	3	the	the	DET
ajst-31992	86	4	data	datum	NOUN
ajst-31992	86	5	to	to	PART
ajst-31992	86	6	be	be	AUX
ajst-31992	86	7	solved	solve	VERB
ajst-31992	86	8	is	be	AUX
ajst-31992	86	9	analyzed	analyze	VERB
ajst-31992	86	10	first	first	ADV
ajst-31992	86	11	,	,	PUNCT
ajst-31992	86	12	and	and	CCONJ
ajst-31992	86	13	then	then	ADV
ajst-31992	86	14	the	the	DET
ajst-31992	86	15	most	most	ADV
ajst-31992	86	16	suitable	suitable	ADJ
ajst-31992	86	17	compression	compression	NOUN
ajst-31992	86	18	method	method	NOUN
ajst-31992	86	19	is	be	AUX
ajst-31992	86	20	selected	select	VERB
ajst-31992	86	21	from	from	ADP
ajst-31992	86	22	these	these	DET
ajst-31992	86	23	data	datum	NOUN
ajst-31992	86	24	,	,	PUNCT
ajst-31992	86	25	and	and	CCONJ
ajst-31992	86	26	then	then	ADV
ajst-31992	86	27	dynamically	dynamically	ADV
ajst-31992	86	28	adjusted	adjust	VERB
ajst-31992	86	29	according	accord	VERB
ajst-31992	86	30	to	to	ADP
ajst-31992	86	31	the	the	DET
ajst-31992	86	32	situation	situation	NOUN
ajst-31992	86	33	,	,	PUNCT
ajst-31992	86	34	so	so	SCONJ
ajst-31992	86	35	as	as	SCONJ
ajst-31992	86	36	to	to	PART
ajst-31992	86	37	maintain	maintain	VERB
ajst-31992	86	38	the	the	DET
ajst-31992	86	39	optimal	optimal	ADJ
ajst-31992	86	40	compression	compression	NOUN
ajst-31992	86	41	method	method	NOUN
ajst-31992	86	42	at	at	ADP
ajst-31992	86	43	all	all	DET
ajst-31992	86	44	times	time	NOUN
ajst-31992	86	45	.	.	PUNCT
ajst-31992	87	1	dynamic	dynamic	ADJ
ajst-31992	87	2	optimization	optimization	NOUN
ajst-31992	87	3	technology	technology	NOUN
ajst-31992	87	4	is	be	AUX
ajst-31992	87	5	through	through	ADP
ajst-31992	87	6	the	the	DET
ajst-31992	87	7	perception	perception	NOUN
ajst-31992	87	8	of	of	ADP
ajst-31992	87	9	the	the	DET
ajst-31992	87	10	environmental	environmental	ADJ
ajst-31992	87	11	context	context	NOUN
ajst-31992	87	12	and	and	CCONJ
ajst-31992	87	13	resource	resource	NOUN
ajst-31992	87	14	status	status	NOUN
ajst-31992	87	15	,	,	PUNCT
ajst-31992	87	16	in	in	ADP
ajst-31992	87	17	the	the	DET
ajst-31992	87	18	inference	inference	NOUN
ajst-31992	87	19	stage	stage	NOUN
ajst-31992	87	20	of	of	ADP
ajst-31992	87	21	the	the	DET
ajst-31992	87	22	real	real	ADJ
ajst-31992	87	23	-	-	PUNCT
ajst-31992	87	24	time	time	NOUN
ajst-31992	87	25	adjustment	adjustment	NOUN
ajst-31992	87	26	of	of	ADP
ajst-31992	87	27	the	the	DET
ajst-31992	87	28	model	model	NOUN
ajst-31992	87	29	computing	computing	NOUN
ajst-31992	87	30	strategy	strategy	NOUN
ajst-31992	87	31	to	to	PART
ajst-31992	87	32	achieve	achieve	VERB
ajst-31992	87	33	the	the	DET
ajst-31992	87	34	optimization	optimization	NOUN
ajst-31992	87	35	effect	effect	NOUN
ajst-31992	87	36	.	.	PUNCT
ajst-31992	88	1	5.2	5.2	NUM
ajst-31992	88	2	addressing	address	VERB
ajst-31992	88	3	the	the	DET
ajst-31992	88	4	cost	cost	NOUN
ajst-31992	88	5	of	of	ADP
ajst-31992	88	6	compression	compression	NOUN
ajst-31992	88	7	and	and	CCONJ
ajst-31992	88	8	optimization	optimization	NOUN
ajst-31992	88	9	technology	technology	NOUN
ajst-31992	88	10	to	to	PART
ajst-31992	88	11	cope	cope	VERB
ajst-31992	88	12	with	with	ADP
ajst-31992	88	13	the	the	DET
ajst-31992	88	14	cost	cost	NOUN
ajst-31992	88	15	of	of	ADP
ajst-31992	88	16	compression	compression	NOUN
ajst-31992	88	17	and	and	CCONJ
ajst-31992	88	18	optimization	optimization	NOUN
ajst-31992	88	19	techniques	technique	NOUN
ajst-31992	88	20	for	for	ADP
ajst-31992	88	21	long	long	ADJ
ajst-31992	88	22	time	time	NOUN
ajst-31992	88	23	cost	cost	NOUN
ajst-31992	88	24	,	,	PUNCT
ajst-31992	88	25	incremental	incremental	ADJ
ajst-31992	88	26	compression	compression	NOUN
ajst-31992	88	27	can	can	AUX
ajst-31992	88	28	be	be	AUX
ajst-31992	88	29	used	use	VERB
ajst-31992	88	30	,	,	PUNCT
ajst-31992	88	31	and	and	CCONJ
ajst-31992	88	32	for	for	ADP
ajst-31992	88	33	high	high	ADJ
ajst-31992	88	34	-	-	PUNCT
ajst-31992	88	35	cost	cost	NOUN
ajst-31992	88	36	automated	automate	VERB
ajst-31992	88	37	compression	compression	NOUN
ajst-31992	88	38	techniques	technique	NOUN
ajst-31992	88	39	there	there	PRON
ajst-31992	88	40	is	be	VERB
ajst-31992	88	41	weightsharing	weightshare	VERB
ajst-31992	88	42	neural	neural	ADJ
ajst-31992	88	43	architecture	architecture	NOUN
ajst-31992	88	44	search	search	NOUN
ajst-31992	88	45	(	(	PUNCT
ajst-31992	88	46	ws	ws	NOUN
ajst-31992	88	47	-	-	PUNCT
ajst-31992	88	48	nas	nas	PROPN
ajst-31992	88	49	)	)	PUNCT
ajst-31992	88	50	whose	whose	DET
ajst-31992	88	51	core	core	NOUN
ajst-31992	88	52	idea	idea	NOUN
ajst-31992	88	53	is	be	AUX
ajst-31992	88	54	to	to	PART
ajst-31992	88	55	avoid	avoid	VERB
ajst-31992	88	56	training	train	VERB
ajst-31992	88	57	each	each	DET
ajst-31992	88	58	candidate	candidate	NOUN
ajst-31992	88	59	architecture	architecture	NOUN
ajst-31992	88	60	individually	individually	ADV
ajst-31992	88	61	by	by	ADP
ajst-31992	88	62	sharing	share	VERB
ajst-31992	88	63	the	the	DET
ajst-31992	88	64	weights	weight	NOUN
ajst-31992	88	65	in	in	ADP
ajst-31992	88	66	the	the	DET
ajst-31992	88	67	supernet	supernet	NOUN
ajst-31992	88	68	,	,	PUNCT
ajst-31992	88	69	in	in	ADP
ajst-31992	88	70	order	order	NOUN
ajst-31992	88	71	to	to	PART
ajst-31992	88	72	avoid	avoid	VERB
ajst-31992	88	73	the	the	DET
ajst-31992	88	74	need	need	NOUN
ajst-31992	88	75	to	to	PART
ajst-31992	88	76	train	train	VERB
ajst-31992	88	77	each	each	DET
ajst-31992	88	78	candidate	candidate	NOUN
ajst-31992	88	79	architecture	architecture	NOUN
ajst-31992	88	80	individually	individually	ADV
ajst-31992	88	81	.	.	PUNCT
ajst-31992	89	1	each	each	DET
ajst-31992	89	2	candidate	candidate	NOUN
ajst-31992	89	3	architecture	architecture	NOUN
ajst-31992	89	4	is	be	AUX
ajst-31992	89	5	trained	train	VERB
ajst-31992	89	6	separately	separately	ADV
ajst-31992	89	7	to	to	PART
ajst-31992	89	8	reduce	reduce	VERB
ajst-31992	89	9	the	the	DET
ajst-31992	89	10	search	search	NOUN
ajst-31992	89	11	cost	cost	NOUN
ajst-31992	89	12	,	,	PUNCT
ajst-31992	89	13	time	time	NOUN
ajst-31992	89	14	and	and	CCONJ
ajst-31992	89	15	financial	financial	ADJ
ajst-31992	89	16	expenses	expense	NOUN
ajst-31992	89	17	.	.	PUNCT
ajst-31992	90	1	26	26	NUM
ajst-31992	90	2	6	6	NUM
ajst-31992	90	3	.	.	PUNCT
ajst-31992	90	4	conclusion	conclusion	NOUN
ajst-31992	90	5	in	in	ADP
ajst-31992	90	6	this	this	DET
ajst-31992	90	7	paper	paper	NOUN
ajst-31992	90	8	,	,	PUNCT
ajst-31992	90	9	we	we	PRON
ajst-31992	90	10	systematically	systematically	ADV
ajst-31992	90	11	review	review	VERB
ajst-31992	90	12	the	the	DET
ajst-31992	90	13	development	development	NOUN
ajst-31992	90	14	of	of	ADP
ajst-31992	90	15	model	model	NOUN
ajst-31992	90	16	lightweighting	lightweighte	VERB
ajst-31992	90	17	in	in	ADP
ajst-31992	90	18	edge	edge	NOUN
ajst-31992	90	19	computing	computing	NOUN
ajst-31992	90	20	in	in	ADP
ajst-31992	90	21	the	the	DET
ajst-31992	90	22	past	past	ADJ
ajst-31992	90	23	five	five	NUM
ajst-31992	90	24	years	year	NOUN
ajst-31992	90	25	,	,	PUNCT
ajst-31992	90	26	categorize	categorize	VERB
ajst-31992	90	27	the	the	DET
ajst-31992	90	28	existing	exist	VERB
ajst-31992	90	29	work	work	NOUN
ajst-31992	90	30	,	,	PUNCT
ajst-31992	90	31	and	and	CCONJ
ajst-31992	90	32	propose	propose	VERB
ajst-31992	90	33	to	to	PART
ajst-31992	90	34	classify	classify	VERB
ajst-31992	90	35	it	it	PRON
ajst-31992	90	36	by	by	ADP
ajst-31992	90	37	parameter	parameter	NOUN
ajst-31992	90	38	compression	compression	NOUN
ajst-31992	90	39	and	and	CCONJ
ajst-31992	90	40	structure	structure	NOUN
ajst-31992	90	41	compression	compression	NOUN
ajst-31992	90	42	.	.	PUNCT
ajst-31992	91	1	it	it	PRON
ajst-31992	91	2	then	then	ADV
ajst-31992	91	3	provides	provide	VERB
ajst-31992	91	4	examples	example	NOUN
ajst-31992	91	5	of	of	ADP
ajst-31992	91	6	application	application	NOUN
ajst-31992	91	7	scenarios	scenario	NOUN
ajst-31992	91	8	and	and	CCONJ
ajst-31992	91	9	key	key	ADJ
ajst-31992	91	10	challenges	challenge	NOUN
ajst-31992	91	11	,	,	PUNCT
ajst-31992	91	12	and	and	CCONJ
ajst-31992	91	13	concludes	conclude	VERB
ajst-31992	91	14	with	with	ADP
ajst-31992	91	15	an	an	DET
ajst-31992	91	16	outlook	outlook	NOUN
ajst-31992	91	17	on	on	ADP
ajst-31992	91	18	solutions	solution	NOUN
ajst-31992	91	19	to	to	ADP
ajst-31992	91	20	the	the	DET
ajst-31992	91	21	above	above	ADJ
ajst-31992	91	22	key	key	ADJ
ajst-31992	91	23	challenges	challenge	NOUN
ajst-31992	91	24	.	.	PUNCT
ajst-31992	92	1	references	reference	NOUN
ajst-31992	92	2	[	[	X
ajst-31992	92	3	1	1	NUM
ajst-31992	92	4	]	]	X
ajst-31992	92	5	y.	y.	PROPN
ajst-31992	92	6	cheng	cheng	PROPN
ajst-31992	92	7	,	,	PUNCT
ajst-31992	92	8	d.	d.	PROPN
ajst-31992	92	9	wang	wang	PROPN
ajst-31992	92	10	,	,	PUNCT
ajst-31992	92	11	p.	p.	PROPN
ajst-31992	92	12	zhou	zhou	PROPN
ajst-31992	92	13	,	,	PUNCT
ajst-31992	92	14	and	and	CCONJ
ajst-31992	92	15	t.	t.	PROPN
ajst-31992	92	16	zhang	zhang	PROPN
ajst-31992	92	17	,	,	PUNCT
ajst-31992	92	18	"	"	PUNCT
ajst-31992	92	19	a	a	DET
ajst-31992	92	20	survey	survey	NOUN
ajst-31992	92	21	of	of	ADP
ajst-31992	92	22	model	model	NOUN
ajst-31992	92	23	compression	compression	NOUN
ajst-31992	92	24	and	and	CCONJ
ajst-31992	92	25	acceleration	acceleration	NOUN
ajst-31992	92	26	for	for	ADP
ajst-31992	92	27	deep	deep	ADJ
ajst-31992	92	28	neural	neural	ADJ
ajst-31992	92	29	networks	network	NOUN
ajst-31992	92	30	,	,	PUNCT
ajst-31992	92	31	"	"	PUNCT
ajst-31992	92	32	arxiv:1710.09282	arxiv:1710.09282	PROPN
ajst-31992	92	33	,	,	PUNCT
ajst-31992	92	34	jun	jun	PROPN
ajst-31992	92	35	.	.	PROPN
ajst-31992	92	36	14	14	NUM
ajst-31992	92	37	,	,	PUNCT
ajst-31992	92	38	2020	2020	NUM
ajst-31992	92	39	.	.	PUNCT
ajst-31992	93	1	doi	doi	NOUN
ajst-31992	93	2	:	:	PUNCT
ajst-31992	93	3	10.48550	10.48550	NUM
ajst-31992	93	4	/	/	SYM
ajst-31992	93	5	arxiv.1710.09282	arxiv.1710.09282	NOUN
ajst-31992	93	6	.	.	PUNCT
ajst-31992	94	1	[	[	X
ajst-31992	94	2	2	2	NUM
ajst-31992	94	3	]	]	X
ajst-31992	94	4	h.-i	h.-i	PROPN
ajst-31992	94	5	.	.	PUNCT
ajst-31992	95	1	liu	liu	PROPN
ajst-31992	95	2	et	et	PROPN
ajst-31992	95	3	al	al	PROPN
ajst-31992	95	4	.	.	PROPN
ajst-31992	95	5	,	,	PUNCT
ajst-31992	95	6	"	"	PUNCT
ajst-31992	95	7	lightweight	lightweight	ADJ
ajst-31992	95	8	deep	deep	ADJ
ajst-31992	95	9	learning	learning	NOUN
ajst-31992	95	10	for	for	ADP
ajst-31992	95	11	resource	resource	NOUN
ajst-31992	95	12	-	-	PUNCT
ajst-31992	95	13	constrained	constrain	VERB
ajst-31992	95	14	environments	environment	NOUN
ajst-31992	95	15	:	:	PUNCT
ajst-31992	95	16	a	a	DET
ajst-31992	95	17	survey	survey	NOUN
ajst-31992	95	18	,	,	PUNCT
ajst-31992	95	19	"	"	PUNCT
ajst-31992	95	20	acm	acm	PROPN
ajst-31992	95	21	comput	comput	NOUN
ajst-31992	95	22	.	.	PUNCT
ajst-31992	96	1	surv	surv	PROPN
ajst-31992	96	2	.	.	PUNCT
ajst-31992	96	3	,	,	PUNCT
ajst-31992	96	4	vol	vol	NOUN
ajst-31992	96	5	.	.	PROPN
ajst-31992	97	1	56	56	NUM
ajst-31992	97	2	,	,	PUNCT
ajst-31992	97	3	no	no	INTJ
ajst-31992	97	4	.	.	NOUN
ajst-31992	97	5	10	10	NUM
ajst-31992	97	6	,	,	PUNCT
ajst-31992	97	7	pp	pp	ADJ
ajst-31992	97	8	.	.	PUNCT
ajst-31992	98	1	1–42	1–42	PROPN
ajst-31992	98	2	,	,	PUNCT
ajst-31992	98	3	oct	oct	PROPN
ajst-31992	98	4	.	.	PROPN
ajst-31992	98	5	2024	2024	NUM
ajst-31992	98	6	,	,	PUNCT
ajst-31992	98	7	doi	doi	NOUN
ajst-31992	98	8	:	:	PUNCT
ajst-31992	98	9	10.1145/3657282	10.1145/3657282	NUM
ajst-31992	98	10	.	.	PUNCT
ajst-31992	99	1	[	[	X
ajst-31992	99	2	3	3	X
ajst-31992	99	3	]	]	PUNCT
ajst-31992	99	4	z.	z.	PROPN
ajst-31992	99	5	mariet	mariet	PROPN
ajst-31992	99	6	and	and	CCONJ
ajst-31992	99	7	s.	s.	PROPN
ajst-31992	99	8	sra	sra	PROPN
ajst-31992	99	9	,	,	PUNCT
ajst-31992	99	10	"	"	PUNCT
ajst-31992	99	11	diversity	diversity	NOUN
ajst-31992	99	12	networks	network	NOUN
ajst-31992	99	13	:	:	PUNCT
ajst-31992	99	14	neural	neural	ADJ
ajst-31992	99	15	network	network	NOUN
ajst-31992	99	16	compression	compression	NOUN
ajst-31992	99	17	using	use	VERB
ajst-31992	99	18	determinantal	determinantal	ADJ
ajst-31992	99	19	point	point	NOUN
ajst-31992	99	20	processes	process	NOUN
ajst-31992	99	21	,	,	PUNCT
ajst-31992	99	22	"	"	PUNCT
ajst-31992	99	23	arxiv:1511.05077	arxiv:1511.05077	PROPN
ajst-31992	99	24	,	,	PUNCT
ajst-31992	99	25	apr	apr	PROPN
ajst-31992	99	26	.	.	PROPN
ajst-31992	99	27	18	18	NUM
ajst-31992	99	28	,	,	PUNCT
ajst-31992	99	29	2017	2017	NUM
ajst-31992	99	30	.	.	PUNCT
ajst-31992	100	1	doi	doi	NOUN
ajst-31992	100	2	:	:	PUNCT
ajst-31992	100	3	10.48550	10.48550	NUM
ajst-31992	100	4	/	/	SYM
ajst-31992	100	5	arxiv.1511.05077	arxiv.1511.05077	PROPN
ajst-31992	100	6	.	.	PUNCT
ajst-31992	101	1	[	[	X
ajst-31992	101	2	4	4	X
ajst-31992	101	3	]	]	PUNCT
ajst-31992	101	4	h.	h.	PROPN
ajst-31992	101	5	n.	n.	PROPN
ajst-31992	101	6	karimah	karimah	PROPN
ajst-31992	101	7	,	,	PUNCT
ajst-31992	101	8	c.	c.	PROPN
ajst-31992	101	9	lee	lee	PROPN
ajst-31992	101	10	,	,	PUNCT
ajst-31992	101	11	and	and	CCONJ
ajst-31992	101	12	y.	y.	PROPN
ajst-31992	101	13	seo	seo	PROPN
ajst-31992	101	14	,	,	PUNCT
ajst-31992	101	15	"	"	PUNCT
ajst-31992	101	16	batchnorm	batchnorm	NOUN
ajst-31992	101	17	-	-	PUNCT
ajst-31992	101	18	free	free	ADJ
ajst-31992	101	19	binarized	binarize	VERB
ajst-31992	101	20	deep	deep	ADJ
ajst-31992	101	21	spiking	spike	VERB
ajst-31992	101	22	neural	neural	ADJ
ajst-31992	101	23	network	network	NOUN
ajst-31992	101	24	for	for	ADP
ajst-31992	101	25	a	a	DET
ajst-31992	101	26	lightweight	lightweight	ADJ
ajst-31992	101	27	machine	machine	NOUN
ajst-31992	101	28	learning	learning	NOUN
ajst-31992	101	29	model	model	NOUN
ajst-31992	101	30	,	,	PUNCT
ajst-31992	101	31	"	"	PUNCT
ajst-31992	101	32	electronics	electronic	NOUN
ajst-31992	101	33	,	,	PUNCT
ajst-31992	101	34	vol	vol	NOUN
ajst-31992	101	35	.	.	PROPN
ajst-31992	101	36	14	14	NUM
ajst-31992	101	37	,	,	PUNCT
ajst-31992	101	38	no	no	INTJ
ajst-31992	101	39	.	.	NOUN
ajst-31992	101	40	8	8	NUM
ajst-31992	101	41	,	,	PUNCT
ajst-31992	101	42	p.	p.	NOUN
ajst-31992	101	43	1602	1602	NUM
ajst-31992	101	44	,	,	PUNCT
ajst-31992	101	45	2025	2025	NUM
ajst-31992	101	46	.	.	PUNCT
ajst-31992	102	1	[	[	X
ajst-31992	102	2	online	online	X
ajst-31992	102	3	]	]	X
ajst-31992	102	4	.	.	PUNCT
ajst-31992	103	1	available	available	ADJ
ajst-31992	103	2	:	:	PUNCT
ajst-31992	104	1	https://www.mdpi.com/2079-9292/14/8/1602	https://www.mdpi.com/2079-9292/14/8/1602	NOUN
ajst-31992	105	1	[	[	X
ajst-31992	105	2	5	5	X
ajst-31992	105	3	]	]	X
ajst-31992	105	4	h.	h.	PROPN
ajst-31992	105	5	sahbi	sahbi	PROPN
ajst-31992	105	6	,	,	PUNCT
ajst-31992	105	7	"	"	PUNCT
ajst-31992	105	8	coarse	coarse	NOUN
ajst-31992	105	9	-	-	PUNCT
ajst-31992	105	10	to	to	ADP
ajst-31992	105	11	-	-	PUNCT
ajst-31992	105	12	fine	fine	NOUN
ajst-31992	105	13	pruning	pruning	NOUN
ajst-31992	105	14	of	of	ADP
ajst-31992	105	15	graph	graph	NOUN
ajst-31992	105	16	convolutional	convolutional	ADJ
ajst-31992	105	17	networks	network	NOUN
ajst-31992	105	18	for	for	ADP
ajst-31992	105	19	skeleton	skeleton	NOUN
ajst-31992	105	20	-	-	PUNCT
ajst-31992	105	21	based	base	VERB
ajst-31992	105	22	recognition	recognition	NOUN
ajst-31992	105	23	,	,	PUNCT
ajst-31992	105	24	"	"	PUNCT
ajst-31992	105	25	in	in	ADP
ajst-31992	105	26	2024	2024	NUM
ajst-31992	105	27	international	international	ADJ
ajst-31992	105	28	conference	conference	NOUN
ajst-31992	105	29	on	on	ADP
ajst-31992	105	30	content	content	NOUN
ajst-31992	105	31	-	-	PUNCT
ajst-31992	105	32	based	base	VERB
ajst-31992	105	33	multimedia	multimedia	NOUN
ajst-31992	105	34	indexing	indexing	NOUN
ajst-31992	105	35	(	(	PUNCT
ajst-31992	105	36	cbmi	cbmi	PROPN
ajst-31992	105	37	)	)	PUNCT
ajst-31992	105	38	,	,	PUNCT
ajst-31992	105	39	new	new	PROPN
ajst-31992	105	40	york	york	PROPN
ajst-31992	105	41	:	:	PUNCT
ajst-31992	105	42	ieee	ieee	NOUN
ajst-31992	105	43	,	,	PUNCT
ajst-31992	105	44	2024	2024	NUM
ajst-31992	105	45	,	,	PUNCT
ajst-31992	105	46	pp	pp	ADJ
ajst-31992	105	47	.	.	PUNCT
ajst-31992	106	1	79–85	79–85	NUM
ajst-31992	106	2	.	.	PUNCT
ajst-31992	107	1	doi	doi	NOUN
ajst-31992	107	2	:	:	PUNCT
ajst-31992	107	3	10.1109	10.1109	NUM
ajst-31992	107	4	/	/	SYM
ajst-31992	107	5	cbmi62980.2024.10859230	cbmi62980.2024.10859230	PROPN
ajst-31992	107	6	.	.	PUNCT
ajst-31992	108	1	[	[	X
ajst-31992	108	2	6	6	NUM
ajst-31992	108	3	]	]	PUNCT
ajst-31992	108	4	l.	l.	PROPN
ajst-31992	108	5	wei	wei	PROPN
ajst-31992	108	6	,	,	PUNCT
ajst-31992	108	7	l.	l.	PROPN
ajst-31992	108	8	guanghui	guanghui	PROPN
ajst-31992	108	9	,	,	PUNCT
ajst-31992	108	10	d.	d.	PROPN
ajst-31992	108	11	chenglong	chenglong	PROPN
ajst-31992	108	12	,	,	PUNCT
ajst-31992	108	13	and	and	CCONJ
ajst-31992	108	14	z.	z.	PROPN
ajst-31992	108	15	feifei	feifei	PROPN
ajst-31992	108	16	,	,	PUNCT
ajst-31992	108	17	"	"	PUNCT
ajst-31992	108	18	two	two	NUM
ajst-31992	108	19	-	-	PUNCT
ajst-31992	108	20	stage	stage	NOUN
ajst-31992	108	21	filter	filter	NOUN
ajst-31992	108	22	pruning	prune	VERB
ajst-31992	108	23	incorporating	incorporate	VERB
ajst-31992	108	24	cosine	cosine	ADJ
ajst-31992	108	25	-	-	PUNCT
ajst-31992	108	26	spatial	spatial	ADJ
ajst-31992	108	27	correlation	correlation	NOUN
ajst-31992	108	28	,	,	PUNCT
ajst-31992	108	29	"	"	PUNCT
ajst-31992	108	30	j.	j.	PROPN
ajst-31992	108	31	image	image	PROPN
ajst-31992	108	32	graph	graph	NOUN
ajst-31992	108	33	.	.	PUNCT
ajst-31992	108	34	,	,	PUNCT
ajst-31992	108	35	vol	vol	NOUN
ajst-31992	108	36	.	.	PROPN
ajst-31992	108	37	29	29	NUM
ajst-31992	108	38	,	,	PUNCT
ajst-31992	108	39	no	no	INTJ
ajst-31992	108	40	.	.	NOUN
ajst-31992	108	41	12	12	NUM
ajst-31992	108	42	,	,	PUNCT
ajst-31992	108	43	pp	pp	ADJ
ajst-31992	108	44	.	.	PUNCT
ajst-31992	108	45	3628–3643	3628–3643	NUM
ajst-31992	108	46	,	,	PUNCT
ajst-31992	108	47	2024	2024	NUM
ajst-31992	108	48	.	.	PUNCT
ajst-31992	109	1	[	[	X
ajst-31992	109	2	7	7	X
ajst-31992	109	3	]	]	PUNCT
ajst-31992	109	4	x.	x.	NOUN
ajst-31992	109	5	xing	xing	PROPN
ajst-31992	109	6	et	et	PROPN
ajst-31992	109	7	al	al	PROPN
ajst-31992	109	8	.	.	PROPN
ajst-31992	109	9	,	,	PUNCT
ajst-31992	109	10	"	"	PUNCT
ajst-31992	109	11	bipft	bipft	PROPN
ajst-31992	109	12	:	:	PUNCT
ajst-31992	109	13	binary	binary	ADJ
ajst-31992	109	14	pre	pre	ADJ
ajst-31992	109	15	-	-	ADJ
ajst-31992	109	16	trained	train	VERB
ajst-31992	109	17	foundation	foundation	NOUN
ajst-31992	109	18	transformer	transformer	NOUN
ajst-31992	109	19	with	with	ADP
ajst-31992	109	20	low	low	ADJ
ajst-31992	109	21	-	-	PUNCT
ajst-31992	109	22	rank	rank	NOUN
ajst-31992	109	23	estimation	estimation	NOUN
ajst-31992	109	24	of	of	ADP
ajst-31992	109	25	binarization	binarization	NOUN
ajst-31992	109	26	residual	residual	ADJ
ajst-31992	109	27	polynomials	polynomial	NOUN
ajst-31992	109	28	,	,	PUNCT
ajst-31992	109	29	"	"	PUNCT
ajst-31992	109	30	in	in	ADP
ajst-31992	109	31	proceedings	proceeding	NOUN
ajst-31992	109	32	of	of	ADP
ajst-31992	109	33	the	the	DET
ajst-31992	109	34	aaai	aaai	PROPN
ajst-31992	109	35	conference	conference	NOUN
ajst-31992	109	36	on	on	ADP
ajst-31992	109	37	artificial	artificial	ADJ
ajst-31992	109	38	intelligence	intelligence	NOUN
ajst-31992	109	39	,	,	PUNCT
ajst-31992	109	40	2024	2024	NUM
ajst-31992	109	41	,	,	PUNCT
ajst-31992	109	42	pp	pp	X
ajst-31992	109	43	.	.	PUNCT
ajst-31992	110	1	16094–16102	16094–16102	NUM
ajst-31992	110	2	.	.	PUNCT
ajst-31992	111	1	[	[	X
ajst-31992	111	2	online	online	X
ajst-31992	111	3	]	]	X
ajst-31992	111	4	.	.	PUNCT
ajst-31992	112	1	available	available	ADJ
ajst-31992	112	2	:	:	PUNCT
ajst-31992	113	1	https://ojs.aaai.org/index.php/aaai/article/view/29542	https://ojs.aaai.org/index.php/aaai/article/view/29542	PROPN
ajst-31992	114	1	[	[	X
ajst-31992	114	2	8	8	NUM
ajst-31992	114	3	]	]	PUNCT
ajst-31992	114	4	m.	m.	NOUN
ajst-31992	114	5	becerra	becerra	PROPN
ajst-31992	114	6	-	-	PUNCT
ajst-31992	114	7	rozas	rozas	PROPN
ajst-31992	114	8	,	,	PUNCT
ajst-31992	114	9	b.	b.	PROPN
ajst-31992	114	10	crawford	crawford	PROPN
ajst-31992	114	11	,	,	PUNCT
ajst-31992	114	12	r.	r.	PROPN
ajst-31992	114	13	soto	soto	PROPN
ajst-31992	114	14	,	,	PUNCT
ajst-31992	114	15	e.-g	e.-g	PROPN
ajst-31992	114	16	.	.	PUNCT
ajst-31992	114	17	talbi	talbi	PROPN
ajst-31992	114	18	,	,	PUNCT
ajst-31992	114	19	and	and	CCONJ
ajst-31992	114	20	j.	j.	PROPN
ajst-31992	114	21	m.	m.	PROPN
ajst-31992	114	22	gómez	gómez	PROPN
ajst-31992	114	23	-	-	PUNCT
ajst-31992	114	24	pulido	pulido	NOUN
ajst-31992	114	25	,	,	PUNCT
ajst-31992	114	26	"	"	PUNCT
ajst-31992	114	27	challenging	challenge	VERB
ajst-31992	114	28	the	the	DET
ajst-31992	114	29	limits	limit	NOUN
ajst-31992	114	30	of	of	ADP
ajst-31992	114	31	binarization	binarization	NOUN
ajst-31992	114	32	:	:	PUNCT
ajst-31992	114	33	a	a	DET
ajst-31992	114	34	new	new	ADJ
ajst-31992	114	35	scheme	scheme	NOUN
ajst-31992	114	36	selection	selection	NOUN
ajst-31992	114	37	policy	policy	NOUN
ajst-31992	114	38	using	use	VERB
ajst-31992	114	39	reinforcement	reinforcement	NOUN
ajst-31992	114	40	learning	learning	NOUN
ajst-31992	114	41	techniques	technique	NOUN
ajst-31992	114	42	for	for	ADP
ajst-31992	114	43	binary	binary	ADJ
ajst-31992	114	44	combinatorial	combinatorial	ADJ
ajst-31992	114	45	problem	problem	NOUN
ajst-31992	114	46	solving	solving	NOUN
ajst-31992	114	47	,	,	PUNCT
ajst-31992	114	48	"	"	PUNCT
ajst-31992	114	49	biomimetics	biomimetic	NOUN
ajst-31992	114	50	,	,	PUNCT
ajst-31992	114	51	vol	vol	NOUN
ajst-31992	114	52	.	.	PROPN
ajst-31992	115	1	9	9	NUM
ajst-31992	115	2	,	,	PUNCT
ajst-31992	115	3	no	no	INTJ
ajst-31992	115	4	.	.	NOUN
ajst-31992	115	5	2	2	NUM
ajst-31992	115	6	,	,	PUNCT
ajst-31992	115	7	p.	p.	NOUN
ajst-31992	115	8	89	89	NUM
ajst-31992	115	9	,	,	PUNCT
ajst-31992	115	10	2024	2024	NUM
ajst-31992	115	11	.	.	PUNCT
ajst-31992	116	1	[	[	X
ajst-31992	116	2	online	online	X
ajst-31992	116	3	]	]	X
ajst-31992	116	4	.	.	PUNCT
ajst-31992	117	1	available	available	ADJ
ajst-31992	117	2	:	:	PUNCT
ajst-31992	117	3	https://www.mdpi.com/2313-7673/9/2/89	https://www.mdpi.com/2313-7673/9/2/89	NOUN
ajst-31992	117	4	[	[	X
ajst-31992	117	5	9	9	NUM
ajst-31992	117	6	]	]	X
ajst-31992	117	7	y.	y.	PROPN
ajst-31992	117	8	wang	wang	PROPN
ajst-31992	117	9	,	,	PUNCT
ajst-31992	117	10	c.	c.	PROPN
ajst-31992	117	11	xu	xu	PROPN
ajst-31992	117	12	,	,	PUNCT
ajst-31992	117	13	c.	c.	PROPN
ajst-31992	117	14	xu	xu	PROPN
ajst-31992	117	15	,	,	PUNCT
ajst-31992	117	16	and	and	CCONJ
ajst-31992	117	17	d.	d.	PROPN
ajst-31992	117	18	tao	tao	PROPN
ajst-31992	117	19	,	,	PUNCT
ajst-31992	117	20	"	"	PUNCT
ajst-31992	117	21	beyond	beyond	ADP
ajst-31992	117	22	filters	filter	NOUN
ajst-31992	117	23	:	:	PUNCT
ajst-31992	117	24	compact	compact	ADJ
ajst-31992	117	25	feature	feature	NOUN
ajst-31992	117	26	map	map	NOUN
ajst-31992	117	27	for	for	ADP
ajst-31992	117	28	portable	portable	ADJ
ajst-31992	117	29	deep	deep	ADJ
ajst-31992	117	30	model	model	NOUN
ajst-31992	117	31	,	,	PUNCT
ajst-31992	117	32	"	"	PUNCT
ajst-31992	117	33	in	in	ADP
ajst-31992	117	34	international	international	ADJ
ajst-31992	117	35	conference	conference	NOUN
ajst-31992	117	36	on	on	ADP
ajst-31992	117	37	machine	machine	NOUN
ajst-31992	117	38	learning	learning	NOUN
ajst-31992	117	39	,	,	PUNCT
ajst-31992	117	40	pmlr	pmlr	NOUN
ajst-31992	117	41	,	,	PUNCT
ajst-31992	117	42	2017	2017	NUM
ajst-31992	117	43	,	,	PUNCT
ajst-31992	117	44	pp	pp	ADJ
ajst-31992	117	45	.	.	PUNCT
ajst-31992	117	46	3703–3711	3703–3711	NUM
ajst-31992	117	47	.	.	PUNCT
ajst-31992	118	1	[	[	X
ajst-31992	118	2	online	online	X
ajst-31992	118	3	]	]	X
ajst-31992	118	4	.	.	PUNCT
ajst-31992	119	1	available	available	ADJ
ajst-31992	119	2	:	:	PUNCT
ajst-31992	119	3	http://proceedings.mlr.press/v70/wang17m.html	http://proceedings.mlr.press/v70/wang17m.html	PROPN
ajst-31992	119	4	[	[	X
ajst-31992	119	5	10	10	NUM
ajst-31992	119	6	]	]	X
ajst-31992	119	7	f.	f.	PROPN
ajst-31992	119	8	li	li	PROPN
ajst-31992	119	9	,	,	PUNCT
ajst-31992	119	10	m.	m.	PROPN
ajst-31992	119	11	chi	chi	PROPN
ajst-31992	119	12	,	,	PUNCT
ajst-31992	119	13	d.	d.	PROPN
ajst-31992	119	14	wu	wu	PROPN
ajst-31992	119	15	,	,	PUNCT
ajst-31992	119	16	and	and	CCONJ
ajst-31992	119	17	j.	j.	PROPN
ajst-31992	119	18	niu	niu	PROPN
ajst-31992	119	19	,	,	PUNCT
ajst-31992	119	20	"	"	PUNCT
ajst-31992	119	21	hierarchical	hierarchical	ADJ
ajst-31992	119	22	parameter	parameter	NOUN
ajst-31992	119	23	sharing	sharing	NOUN
ajst-31992	119	24	in	in	ADP
ajst-31992	119	25	recursive	recursive	ADJ
ajst-31992	119	26	neural	neural	ADJ
ajst-31992	119	27	networks	network	NOUN
ajst-31992	119	28	with	with	ADP
ajst-31992	119	29	long	long	ADJ
ajst-31992	119	30	short	short	ADJ
ajst-31992	119	31	-	-	PUNCT
ajst-31992	119	32	term	term	NOUN
ajst-31992	119	33	memory	memory	NOUN
ajst-31992	119	34	,	,	PUNCT
ajst-31992	119	35	"	"	PUNCT
ajst-31992	119	36	in	in	ADP
ajst-31992	119	37	neural	neural	ADJ
ajst-31992	119	38	information	information	NOUN
ajst-31992	119	39	processing	processing	NOUN
ajst-31992	119	40	,	,	PUNCT
ajst-31992	119	41	vol	vol	NOUN
ajst-31992	119	42	.	.	PROPN
ajst-31992	119	43	10635	10635	NUM
ajst-31992	119	44	,	,	PUNCT
ajst-31992	119	45	d.	d.	PROPN
ajst-31992	119	46	liu	liu	PROPN
ajst-31992	119	47	,	,	PUNCT
ajst-31992	119	48	s.	s.	PROPN
ajst-31992	119	49	xie	xie	PROPN
ajst-31992	119	50	,	,	PUNCT
ajst-31992	119	51	y.	y.	PROPN
ajst-31992	119	52	li	li	PROPN
ajst-31992	119	53	,	,	PUNCT
ajst-31992	119	54	d.	d.	PROPN
ajst-31992	119	55	zhao	zhao	PROPN
ajst-31992	119	56	,	,	PUNCT
ajst-31992	119	57	and	and	CCONJ
ajst-31992	119	58	e.-s	e.-	NOUN
ajst-31992	119	59	.	.	PUNCT
ajst-31992	120	1	m.	m.	NOUN
ajst-31992	120	2	el	el	PROPN
ajst-31992	120	3	-	-	PROPN
ajst-31992	120	4	alfy	alfy	PROPN
ajst-31992	120	5	,	,	PUNCT
ajst-31992	120	6	eds	eds	PROPN
ajst-31992	120	7	.	.	PUNCT
ajst-31992	120	8	cham	cham	PROPN
ajst-31992	120	9	:	:	PUNCT
ajst-31992	120	10	springer	springer	NOUN
ajst-31992	120	11	,	,	PUNCT
ajst-31992	120	12	2017	2017	NUM
ajst-31992	120	13	,	,	PUNCT
ajst-31992	120	14	pp	pp	ADJ
ajst-31992	120	15	.	.	PUNCT
ajst-31992	121	1	582–592	582–592	NUM
ajst-31992	121	2	.	.	PUNCT
ajst-31992	122	1	doi	doi	NOUN
ajst-31992	122	2	:	:	PUNCT
ajst-31992	122	3	10.1007/978	10.1007/978	NUM
ajst-31992	122	4	-	-	SYM
ajst-31992	122	5	3	3	NUM
ajst-31992	122	6	-	-	NUM
ajst-31992	122	7	319	319	NUM
ajst-31992	122	8	-	-	PUNCT
ajst-31992	122	9	70096	70096	NUM
ajst-31992	122	10	-	-	PUNCT
ajst-31992	122	11	0_60	0_60	NUM
ajst-31992	122	12	.	.	PUNCT
ajst-31992	123	1	[	[	X
ajst-31992	123	2	11	11	NUM
ajst-31992	123	3	]	]	PUNCT
ajst-31992	123	4	s.	s.	PROPN
ajst-31992	123	5	chaudhary	chaudhary	PROPN
ajst-31992	123	6	et	et	PROPN
ajst-31992	123	7	al	al	PROPN
ajst-31992	123	8	.	.	PROPN
ajst-31992	123	9	,	,	PUNCT
ajst-31992	123	10	"	"	PUNCT
ajst-31992	123	11	compact	compact	ADJ
ajst-31992	123	12	:	:	PUNCT
ajst-31992	123	13	content	content	NOUN
ajst-31992	123	14	-	-	PUNCT
ajst-31992	123	15	aware	aware	ADJ
ajst-31992	123	16	multipath	multipath	NOUN
ajst-31992	123	17	live	live	ADJ
ajst-31992	123	18	video	video	NOUN
ajst-31992	123	19	streaming	streaming	NOUN
ajst-31992	123	20	for	for	ADP
ajst-31992	123	21	online	online	ADJ
ajst-31992	123	22	classes	class	NOUN
ajst-31992	123	23	using	use	VERB
ajst-31992	123	24	video	video	NOUN
ajst-31992	123	25	tiles	tile	NOUN
ajst-31992	123	26	,	,	PUNCT
ajst-31992	123	27	"	"	PUNCT
ajst-31992	123	28	in	in	ADP
ajst-31992	123	29	proceedings	proceeding	NOUN
ajst-31992	123	30	of	of	ADP
ajst-31992	123	31	the	the	DET
ajst-31992	123	32	16th	16th	ADJ
ajst-31992	123	33	acm	acm	NOUN
ajst-31992	123	34	multimedia	multimedia	NOUN
ajst-31992	123	35	systems	system	NOUN
ajst-31992	123	36	conference	conference	NOUN
ajst-31992	123	37	(	(	PUNCT
ajst-31992	123	38	mmsys	mmsys	NOUN
ajst-31992	123	39	2025	2025	NUM
ajst-31992	123	40	)	)	PUNCT
ajst-31992	123	41	,	,	PUNCT
ajst-31992	123	42	2025	2025	NUM
ajst-31992	123	43	,	,	PUNCT
ajst-31992	123	44	pp	pp	ADJ
ajst-31992	123	45	.	.	PUNCT
ajst-31992	124	1	201–213	201–213	NUM
ajst-31992	124	2	.	.	PUNCT
ajst-31992	125	1	doi	doi	NOUN
ajst-31992	125	2	:	:	PUNCT
ajst-31992	125	3	10.1145/3712676.3714451	10.1145/3712676.3714451	NUM
ajst-31992	125	4	.	.	PUNCT
ajst-31992	126	1	[	[	X
ajst-31992	126	2	12	12	NUM
ajst-31992	126	3	]	]	PUNCT
ajst-31992	126	4	a.	a.	NOUN
ajst-31992	126	5	chen	chen	PROPN
ajst-31992	126	6	,	,	PUNCT
ajst-31992	126	7	j.	j.	PROPN
ajst-31992	126	8	hu	hu	PROPN
ajst-31992	126	9	,	,	PUNCT
ajst-31992	126	10	h.	h.	PROPN
ajst-31992	126	11	ma	ma	PROPN
ajst-31992	126	12	,	,	PUNCT
ajst-31992	126	13	y.	y.	PROPN
ajst-31992	126	14	jiang	jiang	PROPN
ajst-31992	126	15	,	,	PUNCT
ajst-31992	126	16	and	and	CCONJ
ajst-31992	126	17	b.	b.	PROPN
ajst-31992	126	18	yu	yu	PROPN
ajst-31992	126	19	,	,	PUNCT
ajst-31992	126	20	"	"	PUNCT
ajst-31992	126	21	differentiable	differentiable	ADJ
ajst-31992	126	22	distribution	distribution	NOUN
ajst-31992	126	23	model	model	NOUN
ajst-31992	126	24	of	of	ADP
ajst-31992	126	25	stochastic	stochastic	ADJ
ajst-31992	126	26	volatile	volatile	ADJ
ajst-31992	126	27	memristor	memristor	NOUN
ajst-31992	126	28	-	-	PUNCT
ajst-31992	126	29	based	base	VERB
ajst-31992	126	30	neuron	neuron	NOUN
ajst-31992	126	31	,	,	PUNCT
ajst-31992	126	32	"	"	PUNCT
ajst-31992	126	33	ieee	ieee	NOUN
ajst-31992	126	34	trans	trans	PROPN
ajst-31992	126	35	.	.	PROPN
ajst-31992	126	36	electron	electron	PROPN
ajst-31992	126	37	devices	device	NOUN
ajst-31992	126	38	,	,	PUNCT
ajst-31992	126	39	vol	vol	NOUN
ajst-31992	126	40	.	.	PROPN
ajst-31992	126	41	72	72	NUM
ajst-31992	126	42	,	,	PUNCT
ajst-31992	126	43	no	no	INTJ
ajst-31992	126	44	.	.	NOUN
ajst-31992	126	45	4	4	NUM
ajst-31992	126	46	,	,	PUNCT
ajst-31992	126	47	pp	pp	ADJ
ajst-31992	126	48	.	.	PUNCT
ajst-31992	127	1	1709–1714	1709–1714	NUM
ajst-31992	127	2	,	,	PUNCT
ajst-31992	127	3	apr	apr	PROPN
ajst-31992	127	4	.	.	PROPN
ajst-31992	128	1	2025	2025	NUM
ajst-31992	128	2	,	,	PUNCT
ajst-31992	128	3	doi	doi	NOUN
ajst-31992	128	4	:	:	PUNCT
ajst-31992	128	5	10.1109	10.1109	NUM
ajst-31992	128	6	/	/	SYM
ajst-31992	128	7	ted.2025.3538660	ted.2025.3538660	NOUN
ajst-31992	128	8	.	.	PUNCT
ajst-31992	129	1	[	[	X
ajst-31992	129	2	13	13	NUM
ajst-31992	129	3	]	]	PUNCT
ajst-31992	129	4	z.	z.	PROPN
ajst-31992	129	5	wen	wen	PROPN
ajst-31992	129	6	,	,	PUNCT
ajst-31992	129	7	j.	j.	PROPN
ajst-31992	129	8	liu	liu	PROPN
ajst-31992	129	9	,	,	PUNCT
ajst-31992	129	10	h.	h.	PROPN
ajst-31992	129	11	zhao	zhao	PROPN
ajst-31992	129	12	,	,	PUNCT
ajst-31992	129	13	and	and	CCONJ
ajst-31992	129	14	q.	q.	PROPN
ajst-31992	129	15	wang	wang	PROPN
ajst-31992	129	16	,	,	PUNCT
ajst-31992	129	17	"	"	PUNCT
ajst-31992	129	18	a	a	DET
ajst-31992	129	19	triple	triple	ADV
ajst-31992	129	20	semantic	semantic	ADJ
ajst-31992	129	21	-	-	PUNCT
ajst-31992	129	22	aware	aware	ADJ
ajst-31992	129	23	knowledge	knowledge	NOUN
ajst-31992	129	24	distillation	distillation	NOUN
ajst-31992	129	25	network	network	NOUN
ajst-31992	129	26	for	for	ADP
ajst-31992	129	27	industrial	industrial	ADJ
ajst-31992	129	28	defect	defect	NOUN
ajst-31992	129	29	detection	detection	NOUN
ajst-31992	129	30	,	,	PUNCT
ajst-31992	129	31	"	"	PUNCT
ajst-31992	129	32	comput	comput	NOUN
ajst-31992	129	33	.	.	PUNCT
ajst-31992	130	1	ind	ind	PROPN
ajst-31992	130	2	.	.	PUNCT
ajst-31992	130	3	,	,	PUNCT
ajst-31992	130	4	vol	vol	NOUN
ajst-31992	130	5	.	.	PROPN
ajst-31992	130	6	166	166	NUM
ajst-31992	130	7	,	,	PUNCT
ajst-31992	130	8	apr	apr	NOUN
ajst-31992	130	9	.	.	NOUN
ajst-31992	130	10	2025	2025	NUM
ajst-31992	130	11	,	,	PUNCT
ajst-31992	130	12	doi	doi	NOUN
ajst-31992	130	13	:	:	PUNCT
ajst-31992	130	14	10.1016	10.1016	NUM
ajst-31992	130	15	/	/	SYM
ajst-31992	130	16	j.compind.2025.104252	j.compind.2025.104252	NOUN
ajst-31992	130	17	.	.	PUNCT