id	sid	tid	token	lemma	pos
fcis-13841	1	1	frontiers	frontier	NOUN
fcis-13841	1	2	in	in	ADP
fcis-13841	1	3	computing	computing	NOUN
fcis-13841	1	4	and	and	CCONJ
fcis-13841	1	5	intelligent	intelligent	ADJ
fcis-13841	1	6	systems	system	NOUN
fcis-13841	1	7	issn	issn	VERB
fcis-13841	1	8	:	:	PUNCT
fcis-13841	1	9	2832	2832	NUM
fcis-13841	1	10	-	-	SYM
fcis-13841	1	11	6024	6024	NUM
fcis-13841	1	12	|	|	NOUN
fcis-13841	1	13	vol	vol	NOUN
fcis-13841	1	14	.	.	PROPN
fcis-13841	2	1	5	5	NUM
fcis-13841	2	2	,	,	PUNCT
fcis-13841	2	3	no	no	INTJ
fcis-13841	2	4	.	.	NOUN
fcis-13841	2	5	3	3	NUM
fcis-13841	2	6	,	,	PUNCT
fcis-13841	2	7	2023	2023	NUM
fcis-13841	2	8	33	33	NUM
fcis-13841	3	1	a	a	DET
fcis-13841	3	2	zero‐cost	zero‐cost	NOUN
fcis-13841	3	3	darts	dart	VERB
fcis-13841	3	4	base	base	NOUN
fcis-13841	3	5	on	on	ADP
fcis-13841	3	6	multi‐step	multi‐step	NOUN
fcis-13841	3	7	optimization	optimization	NOUN
fcis-13841	3	8	minghui	minghui	PROPN
fcis-13841	3	9	zhang	zhang	PROPN
fcis-13841	3	10	*	*	PROPN
fcis-13841	3	11	department	department	PROPN
fcis-13841	3	12	of	of	ADP
fcis-13841	3	13	software	software	PROPN
fcis-13841	3	14	,	,	PUNCT
fcis-13841	3	15	chengdu	chengdu	PROPN
fcis-13841	3	16	university	university	PROPN
fcis-13841	3	17	of	of	ADP
fcis-13841	3	18	information	information	NOUN
fcis-13841	3	19	technology	technology	PROPN
fcis-13841	3	20	,	,	PUNCT
fcis-13841	3	21	chengdu	chengdu	PROPN
fcis-13841	3	22	,	,	PUNCT
fcis-13841	3	23	china	china	PROPN
fcis-13841	3	24	*	*	PUNCT
fcis-13841	3	25	corresponding	correspond	VERB
fcis-13841	3	26	author	author	NOUN
fcis-13841	3	27	email	email	NOUN
fcis-13841	3	28	:	:	PUNCT
fcis-13841	3	29	1204616897@qq.com	1204616897@qq.com	NUM
fcis-13841	3	30	abstract	abstract	NOUN
fcis-13841	3	31	:	:	PUNCT
fcis-13841	4	1	darts	dart	NOUN
fcis-13841	4	2	has	have	AUX
fcis-13841	4	3	achieved	achieve	VERB
fcis-13841	4	4	great	great	ADJ
fcis-13841	4	5	result	result	NOUN
fcis-13841	4	6	in	in	ADP
fcis-13841	4	7	image	image	NOUN
fcis-13841	4	8	classification	classification	NOUN
fcis-13841	4	9	field	field	NOUN
fcis-13841	4	10	,	,	PUNCT
fcis-13841	4	11	the	the	DET
fcis-13841	4	12	accuracy	accuracy	NOUN
fcis-13841	4	13	predictor	predictor	NOUN
fcis-13841	4	14	and	and	CCONJ
fcis-13841	4	15	computation	computation	NOUN
fcis-13841	4	16	costs	cost	NOUN
fcis-13841	4	17	are	be	AUX
fcis-13841	4	18	the	the	DET
fcis-13841	4	19	key	key	NOUN
fcis-13841	4	20	of	of	ADP
fcis-13841	4	21	dnas	dna	NOUN
fcis-13841	4	22	algorithm	algorithm	NOUN
fcis-13841	4	23	.	.	PUNCT
fcis-13841	5	1	searching	search	VERB
fcis-13841	5	2	for	for	ADP
fcis-13841	5	3	a	a	DET
fcis-13841	5	4	high	high	ADJ
fcis-13841	5	5	-	-	PUNCT
fcis-13841	5	6	performance	performance	NOUN
fcis-13841	5	7	architecture	architecture	NOUN
fcis-13841	5	8	always	always	ADV
fcis-13841	5	9	costs	cost	VERB
fcis-13841	5	10	large	large	ADJ
fcis-13841	5	11	amount	amount	NOUN
fcis-13841	5	12	of	of	ADP
fcis-13841	5	13	computation	computation	NOUN
fcis-13841	5	14	.	.	PUNCT
fcis-13841	6	1	with	with	ADP
fcis-13841	6	2	a	a	DET
fcis-13841	6	3	gradient	gradient	NOUN
fcis-13841	6	4	-	-	PUNCT
fcis-13841	6	5	based	base	VERB
fcis-13841	6	6	bi	bi	ADJ
fcis-13841	6	7	-	-	ADJ
fcis-13841	6	8	level	level	NOUN
fcis-13841	6	9	optimization	optimization	NOUN
fcis-13841	6	10	,	,	PUNCT
fcis-13841	6	11	darts	dart	NOUN
fcis-13841	6	12	using	use	VERB
fcis-13841	6	13	one	one	NUM
fcis-13841	6	14	-	-	PUNCT
fcis-13841	6	15	step	step	NOUN
fcis-13841	6	16	optimization	optimization	NOUN
fcis-13841	6	17	which	which	PRON
fcis-13841	6	18	makes	make	VERB
fcis-13841	6	19	the	the	DET
fcis-13841	6	20	process	process	NOUN
fcis-13841	6	21	available	available	ADJ
fcis-13841	6	22	within	within	ADP
fcis-13841	6	23	a	a	DET
fcis-13841	6	24	few	few	ADJ
fcis-13841	6	25	gpu	gpu	NOUN
fcis-13841	6	26	day	day	NOUN
fcis-13841	6	27	,	,	PUNCT
fcis-13841	6	28	because	because	SCONJ
fcis-13841	6	29	of	of	ADP
fcis-13841	6	30	the	the	DET
fcis-13841	6	31	one	one	NUM
fcis-13841	6	32	-	-	PUNCT
fcis-13841	6	33	step	step	NOUN
fcis-13841	6	34	optimization	optimization	NOUN
fcis-13841	6	35	,	,	PUNCT
fcis-13841	6	36	there	there	PRON
fcis-13841	6	37	exists	exist	VERB
fcis-13841	6	38	a	a	DET
fcis-13841	6	39	great	great	ADJ
fcis-13841	6	40	gap	gap	NOUN
fcis-13841	6	41	between	between	ADP
fcis-13841	6	42	the	the	DET
fcis-13841	6	43	architectures	architecture	NOUN
fcis-13841	6	44	in	in	ADP
fcis-13841	6	45	search	search	NOUN
fcis-13841	6	46	and	and	CCONJ
fcis-13841	6	47	evaluation	evaluation	NOUN
fcis-13841	6	48	.	.	PUNCT
fcis-13841	7	1	in	in	ADP
fcis-13841	7	2	this	this	DET
fcis-13841	7	3	paper	paper	NOUN
fcis-13841	7	4	,	,	PUNCT
fcis-13841	7	5	we	we	PRON
fcis-13841	7	6	propose	propose	VERB
fcis-13841	7	7	a	a	DET
fcis-13841	7	8	zero	zero	NUM
fcis-13841	7	9	-	-	PUNCT
fcis-13841	7	10	cost	cost	NOUN
fcis-13841	7	11	darts	dart	NOUN
fcis-13841	7	12	method	method	NOUN
fcis-13841	7	13	which	which	PRON
fcis-13841	7	14	using	use	VERB
fcis-13841	7	15	multi	multi	ADJ
fcis-13841	7	16	-	-	ADJ
fcis-13841	7	17	step	step	ADJ
fcis-13841	7	18	optimization	optimization	NOUN
fcis-13841	7	19	to	to	PART
fcis-13841	7	20	address	address	VERB
fcis-13841	7	21	the	the	DET
fcis-13841	7	22	above	above	ADJ
fcis-13841	7	23	issues	issue	NOUN
fcis-13841	7	24	.	.	PUNCT
fcis-13841	8	1	to	to	PART
fcis-13841	8	2	further	far	ADV
fcis-13841	8	3	reduce	reduce	VERB
fcis-13841	8	4	the	the	DET
fcis-13841	8	5	computational	computational	ADJ
fcis-13841	8	6	requirements	requirement	NOUN
fcis-13841	8	7	,	,	PUNCT
fcis-13841	8	8	we	we	PRON
fcis-13841	8	9	use	use	VERB
fcis-13841	8	10	the	the	DET
fcis-13841	8	11	zen	zen	NOUN
fcis-13841	8	12	-	-	PUNCT
fcis-13841	8	13	score	score	NOUN
fcis-13841	8	14	to	to	PART
fcis-13841	8	15	estimate	estimate	VERB
fcis-13841	8	16	architectures	architecture	NOUN
fcis-13841	8	17	in	in	ADP
fcis-13841	8	18	evaluation	evaluation	NOUN
fcis-13841	8	19	stage	stage	NOUN
fcis-13841	8	20	.	.	PUNCT
fcis-13841	9	1	experiments	experiment	NOUN
fcis-13841	9	2	on	on	ADP
fcis-13841	9	3	cifar-10	cifar-10	PROPN
fcis-13841	9	4	and	and	CCONJ
fcis-13841	9	5	our	our	PRON
fcis-13841	9	6	private	private	ADJ
fcis-13841	9	7	data	data	NOUN
fcis-13841	9	8	sets	set	NOUN
fcis-13841	9	9	show	show	VERB
fcis-13841	9	10	that	that	SCONJ
fcis-13841	9	11	our	our	PRON
fcis-13841	9	12	algorithm	algorithm	NOUN
fcis-13841	9	13	play	play	VERB
fcis-13841	9	14	a	a	DET
fcis-13841	9	15	certain	certain	ADJ
fcis-13841	9	16	role	role	NOUN
fcis-13841	9	17	in	in	ADP
fcis-13841	9	18	solving	solve	VERB
fcis-13841	9	19	the	the	DET
fcis-13841	9	20	above	above	ADJ
fcis-13841	9	21	problems	problem	NOUN
fcis-13841	9	22	.	.	PUNCT
fcis-13841	10	1	keywords	keyword	NOUN
fcis-13841	10	2	:	:	PUNCT
fcis-13841	10	3	zero	zero	NUM
fcis-13841	10	4	-	-	PUNCT
fcis-13841	10	5	cost	cost	NOUN
fcis-13841	10	6	darts	dart	NOUN
fcis-13841	10	7	;	;	PUNCT
fcis-13841	10	8	multi	multi	ADJ
fcis-13841	10	9	-	-	NOUN
fcis-13841	10	10	step	step	NOUN
fcis-13841	10	11	;	;	PUNCT
fcis-13841	10	12	zen	zen	NOUN
fcis-13841	10	13	-	-	PUNCT
fcis-13841	10	14	nas	nas	NOUN
fcis-13841	10	15	.	.	NOUN
fcis-13841	11	1	1	1	X
fcis-13841	11	2	.	.	X
fcis-13841	11	3	introduction	introduction	NOUN
fcis-13841	11	4	with	with	ADP
fcis-13841	11	5	the	the	DET
fcis-13841	11	6	development	development	NOUN
fcis-13841	11	7	of	of	ADP
fcis-13841	11	8	the	the	DET
fcis-13841	11	9	deep	deep	ADJ
fcis-13841	11	10	learning	learning	NOUN
fcis-13841	11	11	over	over	ADP
fcis-13841	11	12	the	the	DET
fcis-13841	11	13	past	past	ADJ
fcis-13841	11	14	few	few	ADJ
fcis-13841	11	15	years	year	NOUN
fcis-13841	12	1	,	,	PUNCT
fcis-13841	12	2	the	the	DET
fcis-13841	12	3	focus	focus	NOUN
fcis-13841	12	4	of	of	ADP
fcis-13841	12	5	machine	machine	NOUN
fcis-13841	12	6	learning	learning	NOUN
fcis-13841	12	7	has	have	AUX
fcis-13841	12	8	shifted	shift	VERB
fcis-13841	12	9	from	from	ADP
fcis-13841	12	10	feature	feature	NOUN
fcis-13841	12	11	design	design	NOUN
fcis-13841	12	12	to	to	ADP
fcis-13841	12	13	architecture	architecture	NOUN
fcis-13841	12	14	design	design	NOUN
fcis-13841	12	15	.	.	PUNCT
fcis-13841	13	1	the	the	DET
fcis-13841	13	2	quality	quality	NOUN
fcis-13841	13	3	of	of	ADP
fcis-13841	13	4	architecture	architecture	NOUN
fcis-13841	13	5	has	have	AUX
fcis-13841	13	6	become	become	VERB
fcis-13841	13	7	a	a	DET
fcis-13841	13	8	crucial	crucial	ADJ
fcis-13841	13	9	part	part	NOUN
fcis-13841	13	10	of	of	ADP
fcis-13841	13	11	machine	machine	NOUN
fcis-13841	13	12	learning	learning	NOUN
fcis-13841	13	13	.	.	PUNCT
fcis-13841	14	1	generally	generally	ADV
fcis-13841	14	2	,	,	PUNCT
fcis-13841	14	3	a	a	DET
fcis-13841	14	4	high	high	ADJ
fcis-13841	14	5	-	-	PUNCT
fcis-13841	14	6	quality	quality	NOUN
fcis-13841	14	7	architecture	architecture	NOUN
fcis-13841	14	8	can	can	AUX
fcis-13841	14	9	not	not	PART
fcis-13841	14	10	only	only	ADV
fcis-13841	14	11	obtain	obtain	VERB
fcis-13841	14	12	high	high	ADJ
fcis-13841	14	13	-	-	PUNCT
fcis-13841	14	14	precision	precision	NOUN
fcis-13841	14	15	prediction	prediction	NOUN
fcis-13841	14	16	results	result	NOUN
fcis-13841	14	17	,	,	PUNCT
fcis-13841	14	18	but	but	CCONJ
fcis-13841	14	19	also	also	ADV
fcis-13841	14	20	save	save	VERB
fcis-13841	14	21	a	a	DET
fcis-13841	14	22	lot	lot	NOUN
fcis-13841	14	23	of	of	ADP
fcis-13841	14	24	computing	compute	VERB
fcis-13841	14	25	resources[1	resources[1	NOUN
fcis-13841	14	26	]	]	PUNCT
fcis-13841	14	27	.	.	PUNCT
fcis-13841	15	1	to	to	PART
fcis-13841	15	2	address	address	VERB
fcis-13841	15	3	different	different	ADJ
fcis-13841	15	4	computer	computer	NOUN
fcis-13841	15	5	vision	vision	NOUN
fcis-13841	15	6	problems	problem	NOUN
fcis-13841	15	7	,	,	PUNCT
fcis-13841	15	8	a	a	DET
fcis-13841	15	9	large	large	ADJ
fcis-13841	15	10	number	number	NOUN
fcis-13841	15	11	of	of	ADP
fcis-13841	15	12	architecture	architecture	NOUN
fcis-13841	15	13	has	have	AUX
fcis-13841	15	14	been	be	AUX
fcis-13841	15	15	designed	design	VERB
fcis-13841	15	16	manually[2][3][4	manually[2][3][4	NOUN
fcis-13841	15	17	]	]	PUNCT
fcis-13841	15	18	.	.	PUNCT
fcis-13841	16	1	designing	design	VERB
fcis-13841	16	2	a	a	DET
fcis-13841	16	3	man	man	NOUN
fcis-13841	16	4	-	-	PUNCT
fcis-13841	16	5	made	make	VERB
fcis-13841	16	6	architecture	architecture	NOUN
fcis-13841	16	7	requires	require	VERB
fcis-13841	16	8	lots	lot	NOUN
fcis-13841	16	9	of	of	ADP
fcis-13841	16	10	expert	expert	ADJ
fcis-13841	16	11	knowledge	knowledge	NOUN
fcis-13841	16	12	and	and	CCONJ
fcis-13841	16	13	take	take	VERB
fcis-13841	16	14	much	much	ADJ
fcis-13841	16	15	time	time	NOUN
fcis-13841	16	16	.	.	PUNCT
fcis-13841	17	1	neural	neural	ADJ
fcis-13841	17	2	architecture	architecture	NOUN
fcis-13841	17	3	search	search	NOUN
fcis-13841	17	4	(	(	PUNCT
fcis-13841	17	5	nas	nas	PROPN
fcis-13841	17	6	)	)	PUNCT
fcis-13841	17	7	is	be	AUX
fcis-13841	17	8	an	an	DET
fcis-13841	17	9	automated	automate	VERB
fcis-13841	17	10	and	and	CCONJ
fcis-13841	17	11	efficient	efficient	ADJ
fcis-13841	17	12	algorithm	algorithm	NOUN
fcis-13841	17	13	which	which	PRON
fcis-13841	17	14	requires	require	VERB
fcis-13841	17	15	no	no	DET
fcis-13841	17	16	specialized	specialized	ADJ
fcis-13841	17	17	knowledge	knowledge	NOUN
fcis-13841	17	18	.	.	PUNCT
fcis-13841	18	1	the	the	DET
fcis-13841	18	2	core	core	ADJ
fcis-13841	18	3	idea	idea	NOUN
fcis-13841	18	4	of	of	ADP
fcis-13841	18	5	nas	nas	NOUN
fcis-13841	18	6	is	be	AUX
fcis-13841	18	7	to	to	PART
fcis-13841	18	8	search	search	VERB
fcis-13841	18	9	the	the	DET
fcis-13841	18	10	large	large	ADJ
fcis-13841	18	11	architecture	architecture	NOUN
fcis-13841	18	12	space	space	NOUN
fcis-13841	18	13	for	for	ADP
fcis-13841	18	14	an	an	DET
fcis-13841	18	15	architecture	architecture	NOUN
fcis-13841	18	16	that	that	PRON
fcis-13841	18	17	meets	meet	VERB
fcis-13841	18	18	the	the	DET
fcis-13841	18	19	needs	need	NOUN
fcis-13841	18	20	of	of	ADP
fcis-13841	18	21	the	the	DET
fcis-13841	18	22	target	target	NOUN
fcis-13841	18	23	task[1	task[1	ADP
fcis-13841	18	24	]	]	PUNCT
fcis-13841	18	25	,	,	PUNCT
fcis-13841	18	26	and	and	CCONJ
fcis-13841	18	27	existing	existing	ADJ
fcis-13841	18	28	nas	nas	NOUN
fcis-13841	18	29	methods	method	NOUN
fcis-13841	18	30	can	can	AUX
fcis-13841	18	31	be	be	AUX
fcis-13841	18	32	divided	divide	VERB
fcis-13841	18	33	to	to	ADP
fcis-13841	18	34	three	three	NUM
fcis-13841	18	35	categories	category	NOUN
fcis-13841	18	36	,	,	PUNCT
fcis-13841	18	37	including	include	VERB
fcis-13841	18	38	one	one	NUM
fcis-13841	18	39	-	-	PUNCT
fcis-13841	18	40	shot	shot	NOUN
fcis-13841	18	41	methods	method	NOUN
fcis-13841	18	42	,	,	PUNCT
fcis-13841	18	43	reinforcement	reinforcement	NOUN
fcis-13841	18	44	-	-	PUNCT
fcis-13841	18	45	learning	learn	VERB
fcis-13841	18	46	(	(	PUNCT
fcis-13841	18	47	rl	rl	NOUN
fcis-13841	18	48	)	)	PUNCT
fcis-13841	18	49	and	and	CCONJ
fcis-13841	18	50	evolution	evolution	NOUN
fcis-13841	18	51	(	(	PUNCT
fcis-13841	18	52	ea	ea	NOUN
fcis-13841	18	53	)	)	PUNCT
fcis-13841	18	54	methods[5	methods[5	NOUN
fcis-13841	18	55	]	]	PUNCT
fcis-13841	18	56	.	.	PUNCT
fcis-13841	19	1	rl	rl	NOUN
fcis-13841	19	2	and	and	CCONJ
fcis-13841	19	3	ea	ea	NUM
fcis-13841	19	4	methods	method	NOUN
fcis-13841	19	5	requires	require	VERB
fcis-13841	19	6	a	a	DET
fcis-13841	19	7	lot	lot	NOUN
fcis-13841	19	8	of	of	ADP
fcis-13841	19	9	computation	computation	NOUN
fcis-13841	19	10	overheads	overhead	NOUN
fcis-13841	19	11	,	,	PUNCT
fcis-13841	19	12	to	to	PART
fcis-13841	19	13	improve	improve	VERB
fcis-13841	19	14	the	the	DET
fcis-13841	19	15	search	search	NOUN
fcis-13841	19	16	cost	cost	NOUN
fcis-13841	19	17	,	,	PUNCT
fcis-13841	19	18	weight	weight	NOUN
fcis-13841	19	19	-	-	PUNCT
fcis-13841	19	20	sharing	sharing	NOUN
fcis-13841	19	21	-	-	PUNCT
fcis-13841	19	22	base	base	NOUN
fcis-13841	19	23	methods	method	NOUN
fcis-13841	19	24	are	be	AUX
fcis-13841	19	25	proposed	propose	VERB
fcis-13841	19	26	which	which	PRON
fcis-13841	19	27	named	name	VERB
fcis-13841	19	28	one	one	NUM
fcis-13841	19	29	-	-	PUNCT
fcis-13841	19	30	shot	shot	NOUN
fcis-13841	19	31	methods	method	NOUN
fcis-13841	19	32	.	.	PUNCT
fcis-13841	20	1	the	the	DET
fcis-13841	20	2	key	key	NOUN
fcis-13841	20	3	of	of	ADP
fcis-13841	20	4	the	the	DET
fcis-13841	20	5	one	one	NUM
fcis-13841	20	6	-	-	PUNCT
fcis-13841	20	7	shot	shot	NOUN
fcis-13841	20	8	methods	method	NOUN
fcis-13841	20	9	is	be	AUX
fcis-13841	20	10	training	train	VERB
fcis-13841	20	11	a	a	DET
fcis-13841	20	12	supernet	supernet	NOUN
fcis-13841	20	13	which	which	PRON
fcis-13841	20	14	covering	cover	VERB
fcis-13841	20	15	all	all	DET
fcis-13841	20	16	the	the	DET
fcis-13841	20	17	candidate	candidate	NOUN
fcis-13841	20	18	network[6	network[6	ADV
fcis-13841	20	19	]	]	PUNCT
fcis-13841	20	20	.	.	PUNCT
fcis-13841	21	1	recently	recently	ADV
fcis-13841	21	2	,	,	PUNCT
fcis-13841	21	3	darts[7	darts[7	PROPN
fcis-13841	21	4	]	]	PUNCT
fcis-13841	21	5	was	be	AUX
fcis-13841	21	6	proposed	propose	VERB
fcis-13841	21	7	recently	recently	ADV
fcis-13841	21	8	,	,	PUNCT
fcis-13841	21	9	which	which	PRON
fcis-13841	21	10	is	be	AUX
fcis-13841	21	11	a	a	DET
fcis-13841	21	12	differentiable	differentiable	ADJ
fcis-13841	21	13	nas	nas	NOUN
fcis-13841	21	14	algorithm	algorithm	NOUN
fcis-13841	21	15	based	base	VERB
fcis-13841	21	16	on	on	ADP
fcis-13841	21	17	one	one	NUM
fcis-13841	21	18	-	-	PUNCT
fcis-13841	21	19	shot	shot	NOUN
fcis-13841	21	20	method	method	NOUN
fcis-13841	21	21	,	,	PUNCT
fcis-13841	21	22	it	it	PRON
fcis-13841	21	23	narrowed	narrow	VERB
fcis-13841	21	24	the	the	DET
fcis-13841	21	25	nas	nas	NOUN
fcis-13841	21	26	search	search	NOUN
fcis-13841	21	27	time	time	NOUN
fcis-13841	21	28	to	to	ADP
fcis-13841	21	29	a	a	DET
fcis-13841	21	30	few	few	ADJ
fcis-13841	21	31	gpu	gpu	NOUN
fcis-13841	21	32	days	day	NOUN
fcis-13841	21	33	,	,	PUNCT
fcis-13841	21	34	and	and	CCONJ
fcis-13841	21	35	greatly	greatly	ADV
fcis-13841	21	36	saves	save	VERB
fcis-13841	21	37	computing	compute	VERB
fcis-13841	21	38	resources	resource	NOUN
fcis-13841	21	39	.	.	PUNCT
fcis-13841	22	1	in	in	ADP
fcis-13841	22	2	some	some	DET
fcis-13841	22	3	previous	previous	ADJ
fcis-13841	22	4	work	work	NOUN
fcis-13841	22	5	,	,	PUNCT
fcis-13841	22	6	it	it	PRON
fcis-13841	22	7	was	be	AUX
fcis-13841	22	8	mentioned	mention	VERB
fcis-13841	22	9	that	that	SCONJ
fcis-13841	22	10	darts	dart	NOUN
fcis-13841	22	11	has	have	VERB
fcis-13841	22	12	a	a	DET
fcis-13841	22	13	performance	performance	NOUN
fcis-13841	22	14	collapse	collapse	NOUN
fcis-13841	22	15	in	in	ADP
fcis-13841	22	16	the	the	DET
fcis-13841	22	17	architecture	architecture	NOUN
fcis-13841	22	18	search	search	NOUN
fcis-13841	22	19	process[8][9	process[8][9	NOUN
fcis-13841	22	20	]	]	PUNCT
fcis-13841	22	21	,	,	PUNCT
fcis-13841	22	22	because	because	SCONJ
fcis-13841	22	23	of	of	ADP
fcis-13841	22	24	due	due	ADP
fcis-13841	22	25	to	to	ADP
fcis-13841	22	26	its	its	PRON
fcis-13841	22	27	one	one	NUM
fcis-13841	22	28	-	-	PUNCT
fcis-13841	22	29	step	step	NOUN
fcis-13841	22	30	optimization	optimization	NOUN
fcis-13841	22	31	and	and	CCONJ
fcis-13841	22	32	the	the	DET
fcis-13841	22	33	transitional	transitional	ADJ
fcis-13841	22	34	use	use	NOUN
fcis-13841	22	35	of	of	ADP
fcis-13841	22	36	skip	skip	NOUN
fcis-13841	22	37	.	.	PUNCT
fcis-13841	23	1	in	in	ADP
fcis-13841	23	2	our	our	PRON
fcis-13841	23	3	engineering	engineering	NOUN
fcis-13841	23	4	projects	project	NOUN
fcis-13841	23	5	,	,	PUNCT
fcis-13841	23	6	darts	dart	VERB
fcis-13841	23	7	'	'	PUNCT
fcis-13841	23	8	search	search	NOUN
fcis-13841	23	9	time	time	NOUN
fcis-13841	23	10	was	be	AUX
fcis-13841	23	11	too	too	ADV
fcis-13841	23	12	long	long	ADJ
fcis-13841	23	13	and	and	CCONJ
fcis-13841	23	14	not	not	PART
fcis-13841	23	15	very	very	ADV
fcis-13841	23	16	efficient	efficient	ADJ
fcis-13841	23	17	.	.	PUNCT
fcis-13841	24	1	in	in	ADP
fcis-13841	24	2	this	this	DET
fcis-13841	24	3	work	work	NOUN
fcis-13841	24	4	,	,	PUNCT
fcis-13841	24	5	we	we	PRON
fcis-13841	24	6	propose	propose	VERB
fcis-13841	24	7	a	a	DET
fcis-13841	24	8	novel	novel	ADJ
fcis-13841	24	9	multi	multi	ADJ
fcis-13841	24	10	-	-	ADJ
fcis-13841	24	11	step	step	ADJ
fcis-13841	24	12	optimized	optimize	VERB
fcis-13841	24	13	darts	dart	NOUN
fcis-13841	24	14	,	,	PUNCT
fcis-13841	24	15	which	which	PRON
fcis-13841	24	16	use	use	VERB
fcis-13841	24	17	the	the	DET
fcis-13841	24	18	zero	zero	NUM
fcis-13841	24	19	-	-	PUNCT
fcis-13841	24	20	cost	cost	NOUN
fcis-13841	24	21	proxy	proxy	NOUN
fcis-13841	24	22	,	,	PUNCT
fcis-13841	24	23	dubbed	dub	VERB
fcis-13841	24	24	zen	zen	NOUN
fcis-13841	24	25	-	-	PUNCT
fcis-13841	24	26	score	score	NOUN
fcis-13841	24	27	.	.	PUNCT
fcis-13841	25	1	zero	zero	NUM
fcis-13841	25	2	-	-	PUNCT
fcis-13841	25	3	score	score	NOUN
fcis-13841	25	4	only	only	ADV
fcis-13841	25	5	required	require	VERB
fcis-13841	25	6	a	a	DET
fcis-13841	25	7	few	few	ADJ
fcis-13841	25	8	forward	forward	ADJ
fcis-13841	25	9	propagation	propagation	NOUN
fcis-13841	25	10	,	,	PUNCT
fcis-13841	25	11	which	which	PRON
fcis-13841	25	12	using	use	VERB
fcis-13841	25	13	random	random	ADJ
fcis-13841	25	14	gaussian	gaussian	ADJ
fcis-13841	25	15	inputs	input	NOUN
fcis-13841	25	16	on	on	ADP
fcis-13841	25	17	randomly	randomly	ADV
fcis-13841	25	18	initialized	initialize	VERB
fcis-13841	25	19	network[10	network[10	ADV
fcis-13841	25	20	]	]	PUNCT
fcis-13841	25	21	.	.	PUNCT
fcis-13841	26	1	in	in	ADP
fcis-13841	26	2	our	our	PRON
fcis-13841	26	3	experiment	experiment	NOUN
fcis-13841	26	4	,	,	PUNCT
fcis-13841	26	5	the	the	DET
fcis-13841	26	6	improved	improve	VERB
fcis-13841	26	7	algorithm	algorithm	NOUN
fcis-13841	26	8	limits	limit	VERB
fcis-13841	26	9	the	the	DET
fcis-13841	26	10	abuse	abuse	NOUN
fcis-13841	26	11	of	of	ADP
fcis-13841	26	12	skip	skip	NOUN
fcis-13841	26	13	,	,	PUNCT
fcis-13841	26	14	thus	thus	ADV
fcis-13841	26	15	reducing	reduce	VERB
fcis-13841	26	16	the	the	DET
fcis-13841	26	17	performance	performance	NOUN
fcis-13841	26	18	collapse	collapse	NOUN
fcis-13841	26	19	,	,	PUNCT
fcis-13841	26	20	and	and	CCONJ
fcis-13841	26	21	the	the	DET
fcis-13841	26	22	accuracy	accuracy	NOUN
fcis-13841	26	23	is	be	AUX
fcis-13841	26	24	comparable	comparable	ADJ
fcis-13841	26	25	to	to	ADP
fcis-13841	26	26	sota	sota	NOUN
fcis-13841	26	27	.	.	PUNCT
fcis-13841	27	1	2	2	X
fcis-13841	27	2	.	.	NUM
fcis-13841	27	3	related	relate	VERB
fcis-13841	27	4	works	work	NOUN
fcis-13841	27	5	neural	neural	ADJ
fcis-13841	27	6	architecture	architecture	NOUN
fcis-13841	27	7	search[1	search[1	ADV
fcis-13841	27	8	]	]	PUNCT
fcis-13841	27	9	is	be	AUX
fcis-13841	27	10	a	a	DET
fcis-13841	27	11	great	great	ADJ
fcis-13841	27	12	way	way	NOUN
fcis-13841	27	13	to	to	PART
fcis-13841	27	14	automate	automate	VERB
fcis-13841	27	15	the	the	DET
fcis-13841	27	16	search	search	NOUN
fcis-13841	27	17	for	for	ADP
fcis-13841	27	18	neural	neural	ADJ
fcis-13841	27	19	networks	network	NOUN
fcis-13841	27	20	.	.	PUNCT
fcis-13841	28	1	although	although	SCONJ
fcis-13841	28	2	[	[	X
fcis-13841	28	3	3][4][6][17][20	3][4][6][17][20	X
fcis-13841	28	4	]	]	AUX
fcis-13841	28	5	use	use	VERB
fcis-13841	28	6	weight	weight	NOUN
fcis-13841	28	7	sharing	sharing	NOUN
fcis-13841	28	8	to	to	PART
fcis-13841	28	9	reduce	reduce	VERB
fcis-13841	28	10	the	the	DET
fcis-13841	28	11	computational	computational	ADJ
fcis-13841	28	12	cost	cost	NOUN
fcis-13841	28	13	,	,	PUNCT
fcis-13841	28	14	we	we	PRON
fcis-13841	28	15	still	still	ADV
fcis-13841	28	16	need	need	VERB
fcis-13841	28	17	to	to	PART
fcis-13841	28	18	spend	spend	VERB
fcis-13841	28	19	a	a	DET
fcis-13841	28	20	large	large	ADJ
fcis-13841	28	21	number	number	NOUN
fcis-13841	28	22	of	of	ADP
fcis-13841	28	23	computational	computational	ADJ
fcis-13841	28	24	cost	cost	NOUN
fcis-13841	28	25	on	on	ADP
fcis-13841	28	26	a	a	DET
fcis-13841	28	27	deep	deep	ADJ
fcis-13841	28	28	learning	learning	NOUN
fcis-13841	28	29	task	task	NOUN
fcis-13841	28	30	.	.	PUNCT
fcis-13841	29	1	darts	dart	NOUN
fcis-13841	29	2	was	be	AUX
fcis-13841	29	3	the	the	DET
fcis-13841	29	4	first	first	ADJ
fcis-13841	29	5	algorithm	algorithm	NOUN
fcis-13841	29	6	to	to	PART
fcis-13841	29	7	make	make	VERB
fcis-13841	29	8	the	the	DET
fcis-13841	29	9	discrete	discrete	ADJ
fcis-13841	29	10	search	search	NOUN
fcis-13841	29	11	space	space	NOUN
fcis-13841	29	12	continuous	continuous	ADJ
fcis-13841	29	13	,	,	PUNCT
fcis-13841	29	14	this	this	DET
fcis-13841	29	15	differentiable	differentiable	ADJ
fcis-13841	29	16	search	search	NOUN
fcis-13841	29	17	space	space	NOUN
fcis-13841	29	18	can	can	AUX
fcis-13841	29	19	be	be	AUX
fcis-13841	29	20	optimized	optimize	VERB
fcis-13841	29	21	using	use	VERB
fcis-13841	29	22	gradient	gradient	ADJ
fcis-13841	29	23	descent	descent	NOUN
fcis-13841	29	24	,	,	PUNCT
fcis-13841	29	25	ultimately	ultimately	ADV
fcis-13841	29	26	reducing	reduce	VERB
fcis-13841	29	27	the	the	DET
fcis-13841	29	28	search	search	NOUN
fcis-13841	29	29	time	time	NOUN
fcis-13841	29	30	to	to	ADP
fcis-13841	29	31	a	a	DET
fcis-13841	29	32	few	few	ADJ
fcis-13841	29	33	gpu	gpu	NOUN
fcis-13841	29	34	days	day	NOUN
fcis-13841	29	35	.	.	PUNCT
fcis-13841	30	1	darts	dart	NOUN
fcis-13841	30	2	uses	use	VERB
fcis-13841	30	3	a	a	DET
fcis-13841	30	4	one	one	NUM
fcis-13841	30	5	-	-	PUNCT
fcis-13841	30	6	step	step	NOUN
fcis-13841	30	7	optimization	optimization	NOUN
fcis-13841	30	8	strategy	strategy	NOUN
fcis-13841	30	9	,	,	PUNCT
fcis-13841	30	10	which	which	PRON
fcis-13841	30	11	has	have	VERB
fcis-13841	30	12	two	two	NUM
fcis-13841	30	13	drawbacks	drawback	NOUN
fcis-13841	30	14	.	.	PUNCT
fcis-13841	31	1	darts	dart	NOUN
fcis-13841	31	2	uses	use	VERB
fcis-13841	31	3	a	a	DET
fcis-13841	31	4	one	one	NUM
fcis-13841	31	5	-	-	PUNCT
fcis-13841	31	6	step	step	NOUN
fcis-13841	31	7	optimization	optimization	NOUN
fcis-13841	31	8	strategy	strategy	NOUN
fcis-13841	31	9	,	,	PUNCT
fcis-13841	31	10	which	which	PRON
fcis-13841	31	11	has	have	VERB
fcis-13841	31	12	two	two	NUM
fcis-13841	31	13	drawbacks	drawback	NOUN
fcis-13841	31	14	.	.	PUNCT
fcis-13841	32	1	the	the	DET
fcis-13841	32	2	first	first	ADJ
fcis-13841	32	3	is	be	AUX
fcis-13841	32	4	that	that	SCONJ
fcis-13841	32	5	the	the	DET
fcis-13841	32	6	skip	skip	ADJ
fcis-13841	32	7	operation	operation	NOUN
fcis-13841	32	8	can	can	AUX
fcis-13841	32	9	be	be	AUX
fcis-13841	32	10	abused	abuse	VERB
fcis-13841	32	11	during	during	ADP
fcis-13841	32	12	the	the	DET
fcis-13841	32	13	search	search	NOUN
fcis-13841	32	14	process	process	NOUN
fcis-13841	32	15	and	and	CCONJ
fcis-13841	32	16	lead	lead	VERB
fcis-13841	32	17	to	to	ADP
fcis-13841	32	18	accuracy	accuracy	NOUN
fcis-13841	32	19	collapse[8][9][22	collapse[8][9][22	PROPN
fcis-13841	32	20	]	]	PUNCT
fcis-13841	32	21	.	.	PUNCT
fcis-13841	33	1	the	the	DET
fcis-13841	33	2	second	second	NOUN
fcis-13841	33	3	is	be	AUX
fcis-13841	33	4	that	that	SCONJ
fcis-13841	33	5	one	one	NUM
fcis-13841	33	6	-	-	PUNCT
fcis-13841	33	7	step	step	NOUN
fcis-13841	33	8	optimization	optimization	NOUN
fcis-13841	33	9	is	be	AUX
fcis-13841	33	10	easy	easy	ADJ
fcis-13841	33	11	to	to	PART
fcis-13841	33	12	overfit	overfit	VERB
fcis-13841	33	13	and	and	CCONJ
fcis-13841	33	14	fall	fall	VERB
fcis-13841	33	15	into	into	ADP
fcis-13841	33	16	local	local	ADJ
fcis-13841	33	17	optimal	optimal	ADJ
fcis-13841	33	18	solutions	solution	NOUN
fcis-13841	33	19	.	.	PUNCT
fcis-13841	34	1	in	in	ADP
fcis-13841	34	2	the	the	DET
fcis-13841	34	3	nas	nas	PROPN
fcis-13841	34	4	algorithm	algorithm	NOUN
fcis-13841	34	5	,	,	PUNCT
fcis-13841	34	6	the	the	DET
fcis-13841	34	7	largest	large	ADJ
fcis-13841	34	8	time	time	NOUN
fcis-13841	34	9	cost	cost	NOUN
fcis-13841	34	10	comes	come	VERB
fcis-13841	34	11	from	from	ADP
fcis-13841	34	12	the	the	DET
fcis-13841	34	13	training	training	NOUN
fcis-13841	34	14	of	of	ADP
fcis-13841	34	15	the	the	DET
fcis-13841	34	16	neural	neural	ADJ
fcis-13841	34	17	network	network	NOUN
fcis-13841	34	18	,	,	PUNCT
fcis-13841	34	19	and	and	CCONJ
fcis-13841	34	20	during	during	ADP
fcis-13841	34	21	the	the	DET
fcis-13841	34	22	search	search	NOUN
fcis-13841	34	23	process	process	NOUN
fcis-13841	34	24	,	,	PUNCT
fcis-13841	34	25	the	the	DET
fcis-13841	34	26	number	number	NOUN
fcis-13841	34	27	of	of	ADP
fcis-13841	34	28	candidate	candidate	NOUN
fcis-13841	34	29	networks	network	NOUN
fcis-13841	34	30	to	to	PART
fcis-13841	34	31	be	be	AUX
fcis-13841	34	32	trained	train	VERB
fcis-13841	34	33	is	be	AUX
fcis-13841	34	34	too	too	ADV
fcis-13841	34	35	large	large	ADJ
fcis-13841	34	36	,	,	PUNCT
fcis-13841	34	37	even	even	ADV
fcis-13841	34	38	with	with	ADP
fcis-13841	34	39	darts	dart	NOUN
fcis-13841	34	40	and	and	CCONJ
fcis-13841	34	41	its	its	PRON
fcis-13841	34	42	derivatives	derivative	NOUN
fcis-13841	34	43	,	,	PUNCT
fcis-13841	34	44	it	it	PRON
fcis-13841	34	45	is	be	AUX
fcis-13841	34	46	very	very	ADV
fcis-13841	34	47	computationally	computationally	ADV
fcis-13841	34	48	expensive	expensive	ADJ
fcis-13841	34	49	.	.	PUNCT
fcis-13841	35	1	the	the	DET
fcis-13841	35	2	zen	zen	PROPN
fcis-13841	35	3	score	score	NOUN
fcis-13841	35	4	metric	metric	ADJ
fcis-13841	35	5	enables	enable	VERB
fcis-13841	35	6	you	you	PRON
fcis-13841	35	7	to	to	PART
fcis-13841	35	8	test	test	VERB
fcis-13841	35	9	the	the	DET
fcis-13841	35	10	performance	performance	NOUN
fcis-13841	35	11	of	of	ADP
fcis-13841	35	12	a	a	DET
fcis-13841	35	13	neural	neural	ADJ
fcis-13841	35	14	network	network	NOUN
fcis-13841	35	15	without	without	ADP
fcis-13841	35	16	using	use	VERB
fcis-13841	35	17	samples	sample	NOUN
fcis-13841	35	18	for	for	ADP
fcis-13841	35	19	supervised	supervised	ADJ
fcis-13841	35	20	learning	learning	NOUN
fcis-13841	35	21	,	,	PUNCT
fcis-13841	35	22	so	so	ADV
fcis-13841	35	23	using	use	VERB
fcis-13841	35	24	zen	zen	ADJ
fcis-13841	35	25	scores	score	NOUN
fcis-13841	35	26	allows	allow	VERB
fcis-13841	35	27	you	you	PRON
fcis-13841	35	28	to	to	PART
fcis-13841	35	29	avoid	avoid	VERB
fcis-13841	35	30	spending	spend	VERB
fcis-13841	35	31	computational	computational	ADJ
fcis-13841	35	32	resources	resource	NOUN
fcis-13841	35	33	and	and	CCONJ
fcis-13841	35	34	time	time	NOUN
fcis-13841	35	35	on	on	ADP
fcis-13841	35	36	training	training	NOUN
fcis-13841	35	37	candidate	candidate	NOUN
fcis-13841	35	38	network	network	NOUN
fcis-13841	35	39	architectures	architecture	NOUN
fcis-13841	35	40	.	.	PUNCT
fcis-13841	36	1	the	the	DET
fcis-13841	36	2	most	most	ADV
fcis-13841	36	3	common	common	ADJ
fcis-13841	36	4	metric	metric	NOUN
fcis-13841	36	5	is	be	AUX
fcis-13841	36	6	the	the	DET
fcis-13841	36	7	neural	neural	ADJ
fcis-13841	36	8	tangent	tangent	NOUN
fcis-13841	36	9	kernel[11	kernel[11	PROPN
fcis-13841	36	10	]	]	PUNCT
fcis-13841	36	11	,	,	PUNCT
fcis-13841	36	12	and	and	CCONJ
fcis-13841	36	13	its	its	PRON
fcis-13841	36	14	derivatives	derivative	NOUN
fcis-13841	36	15	ncn[12	ncn[12	PROPN
fcis-13841	36	16	]	]	PUNCT
fcis-13841	36	17	,	,	PUNCT
fcis-13841	36	18	f	f	PROPN
fcis-13841	36	19	norm[13	norm[13	NOUN
fcis-13841	36	20	]	]	PUNCT
fcis-13841	36	21	.	.	PUNCT
fcis-13841	37	1	zen	zen	PROPN
fcis-13841	37	2	-	-	PUNCT
fcis-13841	37	3	nas[14	nas[14	NOUN
fcis-13841	37	4	]	]	PUNCT
fcis-13841	37	5	uses	use	VERB
fcis-13841	37	6	the	the	DET
fcis-13841	37	7	lga	lga	ADJ
fcis-13841	37	8	metric	metric	NOUN
fcis-13841	37	9	to	to	PART
fcis-13841	37	10	evaluate	evaluate	VERB
fcis-13841	37	11	the	the	DET
fcis-13841	37	12	performance	performance	NOUN
fcis-13841	37	13	of	of	ADP
fcis-13841	37	14	candidate	candidate	NOUN
fcis-13841	37	15	architectures	architecture	NOUN
fcis-13841	37	16	in	in	ADP
fcis-13841	37	17	nas	nas	PROPN
fcis-13841	37	18	,	,	PUNCT
fcis-13841	37	19	which	which	PRON
fcis-13841	37	20	is	be	AUX
fcis-13841	37	21	a	a	DET
fcis-13841	37	22	derived	derive	VERB
fcis-13841	37	23	metric	metric	NOUN
fcis-13841	37	24	of	of	ADP
fcis-13841	37	25	ntk	ntk	PROPN
fcis-13841	37	26	and	and	CCONJ
fcis-13841	37	27	uses	use	VERB
fcis-13841	37	28	both	both	DET
fcis-13841	37	29	label	label	NOUN
fcis-13841	37	30	information	information	NOUN
fcis-13841	37	31	and	and	CCONJ
fcis-13841	37	32	ntk	ntk	PROPN
fcis-13841	37	33	metric	metric	PROPN
fcis-13841	37	34	.	.	PUNCT
fcis-13841	38	1	our	our	PRON
fcis-13841	38	2	approach	approach	NOUN
fcis-13841	38	3	is	be	AUX
fcis-13841	38	4	to	to	PART
fcis-13841	38	5	use	use	VERB
fcis-13841	38	6	two	two	NUM
fcis-13841	38	7	hyperparameters	hyperparameter	NOUN
fcis-13841	38	8	to	to	PART
fcis-13841	38	9	balance	balance	VERB
fcis-13841	38	10	ntk	ntk	NOUN
fcis-13841	38	11	and	and	CCONJ
fcis-13841	38	12	label	label	NOUN
fcis-13841	38	13	information	information	NOUN
fcis-13841	38	14	.	.	PUNCT
fcis-13841	39	1	3	3	X
fcis-13841	39	2	.	.	X
fcis-13841	39	3	method	method	PROPN
fcis-13841	39	4	3.1	3.1	NUM
fcis-13841	39	5	.	.	PUNCT
fcis-13841	40	1	preliminaries	preliminary	NOUN
fcis-13841	40	2	of	of	ADP
fcis-13841	40	3	darts	dart	NOUN
fcis-13841	40	4	darts	dart	NOUN
fcis-13841	40	5	[	[	X
fcis-13841	40	6	9	9	NUM
fcis-13841	40	7	]	]	PUNCT
fcis-13841	40	8	uses	use	VERB
fcis-13841	40	9	a	a	DET
fcis-13841	40	10	stack	stack	NOUN
fcis-13841	40	11	of	of	ADP
fcis-13841	40	12	normal	normal	ADJ
fcis-13841	40	13	cells	cell	NOUN
fcis-13841	40	14	and	and	CCONJ
fcis-13841	40	15	reduced	reduce	VERB
fcis-13841	40	16	cells	cell	NOUN
fcis-13841	40	17	to	to	PART
fcis-13841	40	18	form	form	VERB
fcis-13841	40	19	the	the	DET
fcis-13841	40	20	final	final	ADJ
fcis-13841	40	21	network	network	NOUN
fcis-13841	40	22	.	.	PUNCT
fcis-13841	41	1	there	there	PRON
fcis-13841	41	2	exist	exist	VERB
fcis-13841	41	3	n	n	DET
fcis-13841	41	4	nodes	node	NOUN
fcis-13841	41	5	in	in	ADP
fcis-13841	41	6	the	the	DET
fcis-13841	41	7	cell	cell	NOUN
fcis-13841	41	8	,	,	PUNCT
fcis-13841	41	9	and	and	CCONJ
fcis-13841	41	10	each	each	DET
fcis-13841	41	11	node	node	NOUN
fcis-13841	41	12	represents	represent	VERB
fcis-13841	41	13	a	a	DET
fcis-13841	41	14	potential	potential	ADJ
fcis-13841	41	15	expression	expression	NOUN
fcis-13841	41	16	.	.	PUNCT
fcis-13841	42	1	a	a	DET
fcis-13841	42	2	directed	direct	VERB
fcis-13841	42	3	link	link	NOUN
fcis-13841	42	4	edge	edge	NOUN
fcis-13841	42	5	,	,	PUNCT
fcis-13841	42	6	between	between	ADP
fcis-13841	42	7	every	every	DET
fcis-13841	42	8	two	two	NUM
fcis-13841	42	9	nodes	node	NOUN
fcis-13841	42	10	represents	represent	VERB
fcis-13841	42	11	an	an	DET
fcis-13841	42	12	information	information	NOUN
fcis-13841	42	13	transfer	transfer	NOUN
fcis-13841	42	14	from	from	ADP
fcis-13841	42	15	node	node	PROPN
fcis-13841	42	16	i	i	PRON
fcis-13841	42	17	to	to	PART
fcis-13841	42	18	node	node	VERB
fcis-13841	42	19	j.	j.	PROPN
fcis-13841	42	20	in	in	ADP
fcis-13841	42	21	other	other	ADJ
fcis-13841	42	22	words	word	NOUN
fcis-13841	42	23	,	,	PUNCT
fcis-13841	42	24	a	a	DET
fcis-13841	42	25	cell	cell	NOUN
fcis-13841	42	26	is	be	AUX
fcis-13841	42	27	represented	represent	VERB
fcis-13841	42	28	as	as	ADP
fcis-13841	42	29	a	a	DET
fcis-13841	42	30	dag	dag	NOUN
fcis-13841	42	31	graph	graph	NOUN
fcis-13841	42	32	.	.	PUNCT
fcis-13841	43	1	each	each	DET
fcis-13841	43	2	edge	edge	NOUN
fcis-13841	43	3	(	(	PUNCT
fcis-13841	43	4	i	i	PROPN
fcis-13841	43	5	,	,	PUNCT
fcis-13841	43	6	j	j	PROPN
fcis-13841	43	7	)	)	PUNCT
fcis-13841	43	8	contains	contain	VERB
fcis-13841	43	9	some	some	DET
fcis-13841	43	10	candidate	candidate	NOUN
fcis-13841	43	11	operations	operation	NOUN
fcis-13841	43	12	(	(	PUNCT
fcis-13841	43	13	e.g.	e.g.	ADV
fcis-13841	43	14	,	,	PUNCT
fcis-13841	43	15	convolution	convolution	NOUN
fcis-13841	43	16	,	,	PUNCT
fcis-13841	43	17	pooling	pooling	NOUN
fcis-13841	43	18	)	)	PUNCT
fcis-13841	43	19	.	.	PUNCT
fcis-13841	44	1	darts	dart	NOUN
fcis-13841	44	2	applies	apply	VERB
fcis-13841	44	3	continuous	continuous	ADJ
fcis-13841	44	4	relaxation	relaxation	NOUN
fcis-13841	44	5	to	to	PART
fcis-13841	44	6	synthesize	synthesize	VERB
fcis-13841	44	7	the	the	DET
fcis-13841	44	8	outputs	output	NOUN
fcis-13841	44	9	of	of	ADP
fcis-13841	44	10	different	different	ADJ
fcis-13841	44	11	operations	operation	NOUN
fcis-13841	44	12	.	.	PUNCT
fcis-13841	45	1	let	let	AUX
fcis-13841	45	2	be	be	AUX
fcis-13841	45	3	an	an	DET
fcis-13841	45	4	input	input	NOUN
fcis-13841	45	5	of	of	ADP
fcis-13841	45	6	node	node	NOUN
fcis-13841	45	7	i	i	PRON
fcis-13841	45	8	and	and	CCONJ
fcis-13841	45	9	let	let	VERB
fcis-13841	45	10	,	,	PUNCT
fcis-13841	45	11	be	be	AUX
fcis-13841	45	12	an	an	DET
fcis-13841	45	13	operation	operation	NOUN
fcis-13841	45	14	of	of	ADP
fcis-13841	45	15	edge	edge	NOUN
fcis-13841	45	16	(	(	PUNCT
fcis-13841	45	17	i	i	PROPN
fcis-13841	45	18	,	,	PUNCT
fcis-13841	45	19	j	j	PROPN
fcis-13841	45	20	)	)	PUNCT
fcis-13841	45	21	.	.	PUNCT
fcis-13841	46	1	for	for	ADP
fcis-13841	46	2	any	any	DET
fcis-13841	46	3	intermediate	intermediate	ADJ
fcis-13841	46	4	34	34	NUM
fcis-13841	46	5	node	node	PROPN
fcis-13841	46	6	j	j	PROPN
fcis-13841	46	7	,	,	PUNCT
fcis-13841	46	8	its	its	PRON
fcis-13841	46	9	input	input	NOUN
fcis-13841	46	10	is	be	AUX
fcis-13841	46	11	the	the	DET
fcis-13841	46	12	weighted	weighted	ADJ
fcis-13841	46	13	sum	sum	NOUN
fcis-13841	46	14	of	of	ADP
fcis-13841	46	15	the	the	DET
fcis-13841	46	16	outputs	output	NOUN
fcis-13841	46	17	of	of	ADP
fcis-13841	46	18	all	all	DET
fcis-13841	46	19	predecessor	predecessor	NOUN
fcis-13841	46	20	nodes	nod	VERB
fcis-13841	46	21	:	:	PUNCT
fcis-13841	46	22	∑	∑	PUNCT
fcis-13841	46	23	,	,	PUNCT
fcis-13841	46	24	(	(	PUNCT
fcis-13841	46	25	1	1	X
fcis-13841	46	26	)	)	PUNCT
fcis-13841	46	27	let	let	VERB
fcis-13841	46	28	o	o	NOUN
fcis-13841	46	29	be	be	AUX
fcis-13841	46	30	a	a	DET
fcis-13841	46	31	set	set	NOUN
fcis-13841	46	32	of	of	ADP
fcis-13841	46	33	all	all	DET
fcis-13841	46	34	candidate	candidate	NOUN
fcis-13841	46	35	operations	operation	NOUN
fcis-13841	46	36	,	,	PUNCT
fcis-13841	46	37	each	each	DET
fcis-13841	46	38	candidate	candidate	NOUN
fcis-13841	46	39	operation	operation	NOUN
fcis-13841	46	40	o	o	NOUN
fcis-13841	46	41	is	be	AUX
fcis-13841	46	42	a	a	DET
fcis-13841	46	43	function	function	NOUN
fcis-13841	46	44	whose	whose	DET
fcis-13841	46	45	role	role	NOUN
fcis-13841	46	46	is	be	AUX
fcis-13841	46	47	to	to	PART
fcis-13841	46	48	feature	feature	AUX
fcis-13841	46	49	map	map	VERB
fcis-13841	46	50	the	the	DET
fcis-13841	46	51	input	input	NOUN
fcis-13841	46	52	,	,	PUNCT
fcis-13841	46	53	,	,	PUNCT
fcis-13841	46	54	is	be	AUX
fcis-13841	46	55	the	the	DET
fcis-13841	46	56	set	set	NOUN
fcis-13841	46	57	of	of	ADP
fcis-13841	46	58	candidate	candidate	NOUN
fcis-13841	46	59	operations	operation	NOUN
fcis-13841	46	60	between	between	ADP
fcis-13841	46	61	edge	edge	NOUN
fcis-13841	46	62	(	(	PUNCT
fcis-13841	46	63	i	i	PROPN
fcis-13841	46	64	,	,	PUNCT
fcis-13841	46	65	j	j	PROPN
fcis-13841	46	66	):	):	PUNCT
fcis-13841	46	67	,	,	PUNCT
fcis-13841	46	68	o	o	INTJ
fcis-13841	46	69	,	,	PUNCT
fcis-13841	46	70	,	,	PUNCT
fcis-13841	46	71	o	o	INTJ
fcis-13841	46	72	,	,	PUNCT
fcis-13841	46	73	,	,	PUNCT
fcis-13841	46	74	.	.	PUNCT
fcis-13841	46	75	.	.	PUNCT
fcis-13841	47	1	.	.	PUNCT
fcis-13841	48	1	,	,	PUNCT
fcis-13841	48	2	o	o	INTJ
fcis-13841	48	3	,	,	PUNCT
fcis-13841	48	4	(	(	PUNCT
fcis-13841	48	5	2	2	X
fcis-13841	48	6	)	)	PUNCT
fcis-13841	48	7	let	let	VERB
fcis-13841	48	8	,	,	PUNCT
fcis-13841	48	9	denote	denote	VERB
fcis-13841	48	10	the	the	DET
fcis-13841	48	11	architectural	architectural	ADJ
fcis-13841	48	12	weights	weight	NOUN
fcis-13841	48	13	vector	vector	NOUN
fcis-13841	48	14	.	.	PUNCT
fcis-13841	49	1	to	to	PART
fcis-13841	49	2	optimize	optimize	VERB
fcis-13841	49	3	with	with	ADP
fcis-13841	49	4	gradient	gradient	ADJ
fcis-13841	49	5	descent	descent	NOUN
fcis-13841	49	6	,	,	PUNCT
fcis-13841	49	7	darts	dart	VERB
fcis-13841	49	8	uses	use	VERB
fcis-13841	49	9	softmax	softmax	NOUN
fcis-13841	49	10	over	over	ADP
fcis-13841	49	11	all	all	DET
fcis-13841	49	12	candidate	candidate	NOUN
fcis-13841	49	13	operations	operation	NOUN
fcis-13841	49	14	to	to	PART
fcis-13841	49	15	make	make	VERB
fcis-13841	49	16	the	the	DET
fcis-13841	49	17	search	search	NOUN
fcis-13841	49	18	space	space	NOUN
fcis-13841	49	19	continuous	continuous	ADJ
fcis-13841	49	20	:	:	PUNCT
fcis-13841	49	21	̅	̅	NOUN
fcis-13841	49	22	,	,	PUNCT
fcis-13841	49	23	∑	∑	INTJ
fcis-13841	49	24	,	,	PUNCT
fcis-13841	49	25	∑	∑	PROPN
fcis-13841	49	26	,	,	PUNCT
fcis-13841	49	27	∈	∈	PROPN
fcis-13841	49	28	∈	∈	PROPN
fcis-13841	49	29	(	(	PUNCT
fcis-13841	49	30	3	3	X
fcis-13841	49	31	)	)	PUNCT
fcis-13841	49	32	darts	dart	NOUN
fcis-13841	49	33	is	be	AUX
fcis-13841	49	34	a	a	DET
fcis-13841	49	35	bilevel	bilevel	ADJ
fcis-13841	49	36	optimization	optimization	NOUN
fcis-13841	49	37	problem	problem	NOUN
fcis-13841	49	38	,	,	PUNCT
fcis-13841	49	39	is	be	AUX
fcis-13841	49	40	the	the	DET
fcis-13841	49	41	upperlevel	upperlevel	ADJ
fcis-13841	49	42	variable	variable	NOUN
fcis-13841	49	43	and	and	CCONJ
fcis-13841	49	44	w	w	NOUN
fcis-13841	49	45	is	be	AUX
fcis-13841	49	46	the	the	DET
fcis-13841	49	47	weight	weight	NOUN
fcis-13841	49	48	of	of	ADP
fcis-13841	49	49	the	the	DET
fcis-13841	49	50	neural	neural	ADJ
fcis-13841	49	51	network	network	NOUN
fcis-13841	49	52	as	as	ADP
fcis-13841	49	53	the	the	DET
fcis-13841	49	54	lower	low	ADJ
fcis-13841	49	55	-	-	PUNCT
fcis-13841	49	56	level	level	NOUN
fcis-13841	49	57	variable	variable	NOUN
fcis-13841	49	58	:	:	PUNCT
fcis-13841	49	59	min	min	NOUN
fcis-13841	49	60	∗	∗	NOUN
fcis-13841	49	61	,	,	PUNCT
fcis-13841	49	62	(	(	PUNCT
fcis-13841	49	63	4	4	X
fcis-13841	49	64	)	)	PUNCT
fcis-13841	49	65	s.	s.	PROPN
fcis-13841	49	66	t.	t.	PROPN
fcis-13841	49	67	w∗	w∗	PROPN
fcis-13841	49	68	argmin	argmin	PROPN
fcis-13841	49	69	w	w	PROPN
fcis-13841	49	70	,	,	PUNCT
fcis-13841	49	71	(	(	PUNCT
fcis-13841	49	72	5	5	X
fcis-13841	49	73	)	)	PUNCT
fcis-13841	49	74	darts	dart	NOUN
fcis-13841	49	75	applies	apply	VERB
fcis-13841	49	76	one	one	NUM
fcis-13841	49	77	-	-	PUNCT
fcis-13841	49	78	step	step	NOUN
fcis-13841	49	79	optimization	optimization	NOUN
fcis-13841	49	80	to	to	PART
fcis-13841	49	81	update	update	VERB
fcis-13841	49	82	the	the	DET
fcis-13841	49	83	architecture	architecture	NOUN
fcis-13841	49	84	parameter	parameter	NOUN
fcis-13841	49	85	a.	a.	NOUN
fcis-13841	49	86	specifically	specifically	ADV
fcis-13841	49	87	,	,	PUNCT
fcis-13841	49	88	the	the	DET
fcis-13841	49	89	lower	low	ADJ
fcis-13841	49	90	-	-	PUNCT
fcis-13841	49	91	level	level	NOUN
fcis-13841	49	92	variable	variable	NOUN
fcis-13841	49	93	w	w	NOUN
fcis-13841	49	94	is	be	AUX
fcis-13841	49	95	-	-	PUNCT
fcis-13841	49	96	first	first	ADV
fcis-13841	49	97	updated	update	VERB
fcis-13841	49	98	using	use	VERB
fcis-13841	49	99	one	one	NUM
fcis-13841	49	100	-	-	PUNCT
fcis-13841	49	101	step	step	NOUN
fcis-13841	49	102	gradient	gradient	NOUN
fcis-13841	49	103	descent	descent	NOUN
fcis-13841	49	104	based	base	VERB
fcis-13841	49	105	on	on	ADP
fcis-13841	49	106	,	,	PUNCT
fcis-13841	49	107	.	.	PUNCT
fcis-13841	50	1	then	then	ADV
fcis-13841	50	2	the	the	DET
fcis-13841	50	3	w	w	PROPN
fcis-13841	50	4	parameter	parameter	NOUN
fcis-13841	50	5	is	be	AUX
fcis-13841	50	6	kept	keep	VERB
fcis-13841	50	7	constant	constant	ADJ
fcis-13841	50	8	and	and	CCONJ
fcis-13841	50	9	the	the	DET
fcis-13841	50	10	upper	upper	ADJ
fcis-13841	50	11	-	-	PUNCT
fcis-13841	50	12	level	level	NOUN
fcis-13841	50	13	variable	variable	NOUN
fcis-13841	50	14	a	a	PRON
fcis-13841	50	15	is	be	AUX
fcis-13841	50	16	updated	update	VERB
fcis-13841	50	17	using	use	VERB
fcis-13841	50	18	onestep	onestep	NOUN
fcis-13841	50	19	gradient	gradient	NOUN
fcis-13841	50	20	descent	descent	NOUN
fcis-13841	50	21	based	base	VERB
fcis-13841	50	22	on	on	ADP
fcis-13841	50	23	,	,	PUNCT
fcis-13841	50	24	,	,	PUNCT
fcis-13841	50	25	.	.	PUNCT
fcis-13841	51	1	where	where	SCONJ
fcis-13841	51	2	is	be	AUX
fcis-13841	51	3	learning	learn	VERB
fcis-13841	51	4	rate	rate	NOUN
fcis-13841	51	5	.	.	PUNCT
fcis-13841	52	1	many	many	ADJ
fcis-13841	52	2	previous	previous	ADJ
fcis-13841	52	3	works	work	NOUN
fcis-13841	52	4	[	[	X
fcis-13841	52	5	14][15][18][21	14][15][18][21	X
fcis-13841	52	6	]	]	PUNCT
fcis-13841	52	7	have	have	AUX
fcis-13841	52	8	pointed	point	VERB
fcis-13841	52	9	out	out	ADP
fcis-13841	52	10	that	that	SCONJ
fcis-13841	52	11	the	the	DET
fcis-13841	52	12	double	double	ADJ
fcis-13841	52	13	optimization	optimization	NOUN
fcis-13841	52	14	of	of	ADP
fcis-13841	52	15	darts	dart	NOUN
fcis-13841	52	16	causes	cause	VERB
fcis-13841	52	17	the	the	DET
fcis-13841	52	18	final	final	ADJ
fcis-13841	52	19	model	model	NOUN
fcis-13841	52	20	accuracy	accuracy	NOUN
fcis-13841	52	21	to	to	PART
fcis-13841	52	22	collapse	collapse	VERB
fcis-13841	52	23	,	,	PUNCT
fcis-13841	52	24	and	and	CCONJ
fcis-13841	52	25	this	this	PRON
fcis-13841	52	26	is	be	AUX
fcis-13841	52	27	also	also	ADV
fcis-13841	52	28	true	true	ADJ
fcis-13841	52	29	in	in	ADP
fcis-13841	52	30	our	our	PRON
fcis-13841	52	31	project	project	NOUN
fcis-13841	52	32	.	.	PUNCT
fcis-13841	53	1	in	in	ADP
fcis-13841	53	2	the	the	DET
fcis-13841	53	3	next	next	ADJ
fcis-13841	53	4	section	section	NOUN
fcis-13841	53	5	we	we	PRON
fcis-13841	53	6	describe	describe	VERB
fcis-13841	53	7	the	the	DET
fcis-13841	53	8	causes	cause	NOUN
fcis-13841	53	9	and	and	CCONJ
fcis-13841	53	10	our	our	PRON
fcis-13841	53	11	improvements	improvement	NOUN
fcis-13841	53	12	.	.	PUNCT
fcis-13841	54	1	3.2	3.2	NUM
fcis-13841	54	2	.	.	PUNCT
fcis-13841	55	1	multi	multi	ADJ
fcis-13841	55	2	-	-	ADJ
fcis-13841	55	3	step	step	ADJ
fcis-13841	55	4	optimization	optimization	NOUN
fcis-13841	55	5	our	our	PRON
fcis-13841	55	6	target	target	NOUN
fcis-13841	55	7	task	task	NOUN
fcis-13841	55	8	is	be	AUX
fcis-13841	55	9	to	to	PART
fcis-13841	55	10	identify	identify	VERB
fcis-13841	55	11	the	the	DET
fcis-13841	55	12	age	age	NOUN
fcis-13841	55	13	of	of	ADP
fcis-13841	55	14	a	a	DET
fcis-13841	55	15	person	person	NOUN
fcis-13841	55	16	,	,	PUNCT
fcis-13841	55	17	and	and	CCONJ
fcis-13841	55	18	darts	dart	NOUN
fcis-13841	55	19	does	do	AUX
fcis-13841	55	20	not	not	PART
fcis-13841	55	21	perform	perform	VERB
fcis-13841	55	22	well	well	ADV
fcis-13841	55	23	in	in	ADP
fcis-13841	55	24	our	our	PRON
fcis-13841	55	25	task	task	NOUN
fcis-13841	55	26	.	.	PUNCT
fcis-13841	56	1	our	our	PRON
fcis-13841	56	2	target	target	NOUN
fcis-13841	56	3	task	task	NOUN
fcis-13841	56	4	is	be	AUX
fcis-13841	56	5	age	age	NOUN
fcis-13841	56	6	recognition	recognition	NOUN
fcis-13841	56	7	of	of	ADP
fcis-13841	56	8	people	people	NOUN
fcis-13841	56	9	,	,	PUNCT
fcis-13841	56	10	and	and	CCONJ
fcis-13841	56	11	darts	dart	NOUN
fcis-13841	56	12	does	do	AUX
fcis-13841	56	13	not	not	PART
fcis-13841	56	14	perform	perform	VERB
fcis-13841	56	15	well	well	ADV
fcis-13841	56	16	in	in	ADP
fcis-13841	56	17	our	our	PRON
fcis-13841	56	18	task	task	NOUN
fcis-13841	56	19	.	.	PUNCT
fcis-13841	57	1	we	we	PRON
fcis-13841	57	2	analyze	analyze	VERB
fcis-13841	57	3	the	the	DET
fcis-13841	57	4	main	main	ADJ
fcis-13841	57	5	reasons	reason	NOUN
fcis-13841	57	6	,	,	PUNCT
fcis-13841	57	7	because	because	SCONJ
fcis-13841	57	8	the	the	DET
fcis-13841	57	9	singlestep	singlestep	NOUN
fcis-13841	57	10	optimization	optimization	NOUN
fcis-13841	57	11	of	of	ADP
fcis-13841	57	12	darts	dart	NOUN
fcis-13841	57	13	is	be	AUX
fcis-13841	57	14	easy	easy	ADJ
fcis-13841	57	15	to	to	PART
fcis-13841	57	16	fall	fall	VERB
fcis-13841	57	17	into	into	ADP
fcis-13841	57	18	local	local	ADJ
fcis-13841	57	19	optima	optima	NOUN
fcis-13841	57	20	,	,	PUNCT
fcis-13841	57	21	and	and	CCONJ
fcis-13841	57	22	the	the	DET
fcis-13841	57	23	data	datum	NOUN
fcis-13841	57	24	of	of	ADP
fcis-13841	57	25	our	our	PRON
fcis-13841	57	26	task	task	NOUN
fcis-13841	57	27	are	be	AUX
fcis-13841	57	28	all	all	PRON
fcis-13841	57	29	faces	face	NOUN
fcis-13841	57	30	,	,	PUNCT
fcis-13841	57	31	which	which	PRON
fcis-13841	57	32	contain	contain	VERB
fcis-13841	57	33	too	too	ADV
fcis-13841	57	34	many	many	ADJ
fcis-13841	57	35	identical	identical	ADJ
fcis-13841	57	36	features	feature	NOUN
fcis-13841	57	37	,	,	PUNCT
fcis-13841	57	38	darts	dart	NOUN
fcis-13841	57	39	is	be	AUX
fcis-13841	57	40	not	not	PART
fcis-13841	57	41	efficient	efficient	ADJ
fcis-13841	57	42	to	to	PART
fcis-13841	57	43	find	find	VERB
fcis-13841	57	44	a	a	DET
fcis-13841	57	45	high	high	ADJ
fcis-13841	57	46	accuracy	accuracy	NOUN
fcis-13841	57	47	model	model	NOUN
fcis-13841	57	48	.	.	PUNCT
fcis-13841	58	1	we	we	PRON
fcis-13841	58	2	have	have	AUX
fcis-13841	58	3	made	make	VERB
fcis-13841	58	4	adjustments	adjustment	NOUN
fcis-13841	58	5	to	to	ADP
fcis-13841	58	6	the	the	DET
fcis-13841	58	7	single	single	ADJ
fcis-13841	58	8	-	-	PUNCT
fcis-13841	58	9	step	step	NOUN
fcis-13841	58	10	optimization	optimization	NOUN
fcis-13841	58	11	strategy	strategy	NOUN
fcis-13841	58	12	of	of	ADP
fcis-13841	58	13	darts	dart	NOUN
fcis-13841	58	14	.	.	PUNCT
fcis-13841	59	1	we	we	PRON
fcis-13841	59	2	have	have	AUX
fcis-13841	59	3	made	make	VERB
fcis-13841	59	4	adjustments	adjustment	NOUN
fcis-13841	59	5	to	to	ADP
fcis-13841	59	6	the	the	DET
fcis-13841	59	7	singlestep	singlestep	NOUN
fcis-13841	59	8	optimization	optimization	NOUN
fcis-13841	59	9	strategy	strategy	NOUN
fcis-13841	59	10	of	of	ADP
fcis-13841	59	11	darts	dart	NOUN
fcis-13841	59	12	.	.	PUNCT
fcis-13841	60	1	first	first	ADV
fcis-13841	60	2	let	let	VERB
fcis-13841	60	3	darts	dart	NOUN
fcis-13841	60	4	optimize	optimize	VERB
fcis-13841	60	5	the	the	DET
fcis-13841	60	6	network	network	NOUN
fcis-13841	60	7	parameters	parameter	NOUN
fcis-13841	61	1	w	w	VERB
fcis-13841	61	2	using	use	VERB
fcis-13841	61	3	equation	equation	NOUN
fcis-13841	61	4	(	(	PUNCT
fcis-13841	61	5	6	6	NUM
fcis-13841	61	6	)	)	PUNCT
fcis-13841	61	7	n	n	NUM
fcis-13841	61	8	times	time	NOUN
fcis-13841	61	9	,	,	PUNCT
fcis-13841	61	10	where	where	SCONJ
fcis-13841	61	11	n	n	PRON
fcis-13841	61	12	is	be	AUX
fcis-13841	61	13	a	a	DET
fcis-13841	61	14	hyperparameter	hyperparameter	NOUN
fcis-13841	61	15	.	.	PUNCT
fcis-13841	62	1	then	then	ADV
fcis-13841	62	2	a	a	DET
fcis-13841	62	3	one	one	NUM
fcis-13841	62	4	-	-	PUNCT
fcis-13841	62	5	step	step	NOUN
fcis-13841	62	6	optimization	optimization	NOUN
fcis-13841	62	7	strategy	strategy	NOUN
fcis-13841	62	8	is	be	AUX
fcis-13841	62	9	used	use	VERB
fcis-13841	62	10	to	to	PART
fcis-13841	62	11	update	update	VERB
fcis-13841	62	12	the	the	DET
fcis-13841	62	13	architecture	architecture	NOUN
fcis-13841	62	14	parameter	parameter	NOUN
fcis-13841	62	15	as	as	ADP
fcis-13841	62	16	in	in	ADP
fcis-13841	62	17	equation	equation	NOUN
fcis-13841	62	18	(	(	PUNCT
fcis-13841	62	19	7	7	NUM
fcis-13841	62	20	)	)	PUNCT
fcis-13841	62	21	.	.	PUNCT
fcis-13841	63	1	using	use	VERB
fcis-13841	63	2	this	this	DET
fcis-13841	63	3	strategy	strategy	NOUN
fcis-13841	63	4	,	,	PUNCT
fcis-13841	63	5	the	the	DET
fcis-13841	63	6	architecture	architecture	NOUN
fcis-13841	63	7	parameter	parameter	NOUN
fcis-13841	63	8	of	of	ADP
fcis-13841	63	9	darts	dart	NOUN
fcis-13841	63	10	are	be	AUX
fcis-13841	63	11	a	a	DET
fcis-13841	63	12	slow	slow	ADJ
fcis-13841	63	13	learning	learning	NOUN
fcis-13841	63	14	process	process	NOUN
fcis-13841	63	15	,	,	PUNCT
fcis-13841	63	16	while	while	SCONJ
fcis-13841	63	17	the	the	DET
fcis-13841	63	18	shared	share	VERB
fcis-13841	63	19	network	network	NOUN
fcis-13841	63	20	parameters	parameter	NOUN
fcis-13841	63	21	w	w	ADP
fcis-13841	63	22	of	of	ADP
fcis-13841	63	23	the	the	DET
fcis-13841	63	24	darts	dart	NOUN
fcis-13841	63	25	is	be	AUX
fcis-13841	63	26	a	a	DET
fcis-13841	63	27	fast	fast	ADJ
fcis-13841	63	28	learning	learning	NOUN
fcis-13841	63	29	process	process	NOUN
fcis-13841	63	30	.	.	PUNCT
fcis-13841	64	1	the	the	DET
fcis-13841	64	2	faster	fast	ADJ
fcis-13841	64	3	convergence	convergence	NOUN
fcis-13841	64	4	of	of	ADP
fcis-13841	64	5	w	w	PROPN
fcis-13841	64	6	ensures	ensure	VERB
fcis-13841	64	7	better	well	ADJ
fcis-13841	64	8	learning	learning	NOUN
fcis-13841	64	9	of	of	ADP
fcis-13841	64	10	image	image	NOUN
fcis-13841	64	11	features	feature	NOUN
fcis-13841	64	12	during	during	ADP
fcis-13841	64	13	the	the	DET
fcis-13841	64	14	search	search	NOUN
fcis-13841	64	15	process	process	NOUN
fcis-13841	64	16	,	,	PUNCT
fcis-13841	64	17	thus	thus	ADV
fcis-13841	64	18	improving	improve	VERB
fcis-13841	64	19	the	the	DET
fcis-13841	64	20	accuracy	accuracy	NOUN
fcis-13841	64	21	of	of	ADP
fcis-13841	64	22	the	the	DET
fcis-13841	64	23	final	final	ADJ
fcis-13841	64	24	architecture	architecture	NOUN
fcis-13841	64	25	searched	search	VERB
fcis-13841	64	26	by	by	ADP
fcis-13841	64	27	darts	dart	NOUN
fcis-13841	64	28	.	.	PUNCT
fcis-13841	65	1	we	we	PRON
fcis-13841	65	2	refer	refer	VERB
fcis-13841	65	3	to	to	ADP
fcis-13841	65	4	this	this	DET
fcis-13841	65	5	approach	approach	NOUN
fcis-13841	65	6	as	as	ADP
fcis-13841	65	7	multi	multi	NOUN
fcis-13841	65	8	-	-	NOUN
fcis-13841	65	9	darts	dart	NOUN
fcis-13841	65	10	.	.	PUNCT
fcis-13841	66	1	′	′	NUM
fcis-13841	66	2	,	,	PUNCT
fcis-13841	66	3	,	,	PUNCT
fcis-13841	66	4	(	(	PUNCT
fcis-13841	66	5	6	6	NUM
fcis-13841	66	6	)	)	PUNCT
fcis-13841	66	7	′	′	NOUN
fcis-13841	66	8	,	,	PUNCT
fcis-13841	66	9	(	(	PUNCT
fcis-13841	66	10	7	7	X
fcis-13841	66	11	)	)	PUNCT
fcis-13841	66	12	however	however	ADV
fcis-13841	66	13	,	,	PUNCT
fcis-13841	66	14	we	we	PRON
fcis-13841	66	15	found	find	VERB
fcis-13841	66	16	in	in	ADP
fcis-13841	66	17	our	our	PRON
fcis-13841	66	18	experiments	experiment	NOUN
fcis-13841	66	19	that	that	SCONJ
fcis-13841	66	20	the	the	DET
fcis-13841	66	21	time	time	NOUN
fcis-13841	66	22	cost	cost	NOUN
fcis-13841	66	23	of	of	ADP
fcis-13841	66	24	darts	dart	NOUN
fcis-13841	66	25	with	with	ADP
fcis-13841	66	26	this	this	DET
fcis-13841	66	27	strategy	strategy	NOUN
fcis-13841	66	28	is	be	AUX
fcis-13841	66	29	greatly	greatly	ADV
fcis-13841	66	30	increased	increase	VERB
fcis-13841	66	31	.	.	PUNCT
fcis-13841	67	1	suppose	suppose	VERB
fcis-13841	67	2	that	that	SCONJ
fcis-13841	67	3	in	in	ADP
fcis-13841	67	4	one	one	NUM
fcis-13841	67	5	-	-	PUNCT
fcis-13841	67	6	step	step	NOUN
fcis-13841	67	7	optimized	optimize	VERB
fcis-13841	67	8	darts	dart	NOUN
fcis-13841	67	9	,	,	PUNCT
fcis-13841	67	10	the	the	DET
fcis-13841	67	11	time	time	NOUN
fcis-13841	67	12	cost	cost	NOUN
fcis-13841	67	13	of	of	ADP
fcis-13841	67	14	training	training	NOUN
fcis-13841	67	15	w	w	NOUN
fcis-13841	67	16	is	be	AUX
fcis-13841	67	17	t1	t1	NOUN
fcis-13841	67	18	,	,	PUNCT
fcis-13841	67	19	while	while	SCONJ
fcis-13841	67	20	the	the	DET
fcis-13841	67	21	time	time	NOUN
fcis-13841	67	22	cost	cost	NOUN
fcis-13841	67	23	of	of	ADP
fcis-13841	67	24	training	train	VERB
fcis-13841	67	25	a	a	DET
fcis-13841	67	26	architecture	architecture	NOUN
fcis-13841	67	27	parameter	parameter	NOUN
fcis-13841	67	28	is	be	AUX
fcis-13841	67	29	t2	t2	NOUN
fcis-13841	67	30	,	,	PUNCT
fcis-13841	67	31	then	then	ADV
fcis-13841	67	32	the	the	DET
fcis-13841	67	33	total	total	ADJ
fcis-13841	67	34	time	time	NOUN
fcis-13841	67	35	cost	cost	NOUN
fcis-13841	67	36	is	be	AUX
fcis-13841	67	37	t1+t2	t1+t2	PROPN
fcis-13841	67	38	.	.	PUNCT
fcis-13841	68	1	however	however	ADV
fcis-13841	68	2	,	,	PUNCT
fcis-13841	68	3	in	in	ADP
fcis-13841	68	4	our	our	PRON
fcis-13841	68	5	method	method	NOUN
fcis-13841	68	6	,	,	PUNCT
fcis-13841	68	7	w	w	PROPN
fcis-13841	68	8	is	be	AUX
fcis-13841	68	9	trained	train	VERB
fcis-13841	68	10	using	use	VERB
fcis-13841	68	11	multi	multi	ADJ
fcis-13841	68	12	-	-	ADJ
fcis-13841	68	13	step	step	ADJ
fcis-13841	68	14	optimization	optimization	NOUN
fcis-13841	68	15	,	,	PUNCT
fcis-13841	68	16	the	the	DET
fcis-13841	68	17	total	total	ADJ
fcis-13841	68	18	time	time	NOUN
fcis-13841	68	19	cost	cost	NOUN
fcis-13841	68	20	is	be	AUX
fcis-13841	68	21	n*t1+t2	n*t1+t2	PROPN
fcis-13841	68	22	.	.	PUNCT
fcis-13841	69	1	in	in	ADP
fcis-13841	69	2	other	other	ADJ
fcis-13841	69	3	words	word	NOUN
fcis-13841	69	4	,	,	PUNCT
fcis-13841	69	5	the	the	DET
fcis-13841	69	6	time	time	NOUN
fcis-13841	69	7	cost	cost	NOUN
fcis-13841	69	8	of	of	ADP
fcis-13841	69	9	w	w	NOUN
fcis-13841	69	10	training	training	NOUN
fcis-13841	69	11	is	be	AUX
fcis-13841	69	12	improved	improve	VERB
fcis-13841	69	13	to	to	ADP
fcis-13841	69	14	n	n	PROPN
fcis-13841	69	15	times	time	NOUN
fcis-13841	69	16	.	.	PUNCT
fcis-13841	70	1	3.3	3.3	NUM
fcis-13841	70	2	.	.	PUNCT
fcis-13841	71	1	zen	zen	ADJ
fcis-13841	71	2	-	-	PUNCT
fcis-13841	71	3	score	score	NOUN
fcis-13841	71	4	zen	zen	NOUN
fcis-13841	71	5	-	-	PUNCT
fcis-13841	71	6	score	score	NOUN
fcis-13841	71	7	allows	allow	VERB
fcis-13841	71	8	us	we	PRON
fcis-13841	71	9	to	to	PART
fcis-13841	71	10	train	train	VERB
fcis-13841	71	11	neural	neural	ADJ
fcis-13841	71	12	networks	network	NOUN
fcis-13841	71	13	without	without	ADP
fcis-13841	71	14	using	use	VERB
fcis-13841	71	15	labeled	label	VERB
fcis-13841	71	16	data	datum	NOUN
fcis-13841	71	17	.	.	PUNCT
fcis-13841	72	1	these	these	DET
fcis-13841	72	2	methods	method	NOUN
fcis-13841	72	3	use	use	VERB
fcis-13841	72	4	information	information	NOUN
fcis-13841	72	5	inside	inside	ADP
fcis-13841	72	6	the	the	DET
fcis-13841	72	7	architecture	architecture	NOUN
fcis-13841	72	8	to	to	PART
fcis-13841	72	9	improve	improve	VERB
fcis-13841	72	10	the	the	DET
fcis-13841	72	11	accuracy	accuracy	NOUN
fcis-13841	72	12	of	of	ADP
fcis-13841	72	13	the	the	DET
fcis-13841	72	14	architecture	architecture	NOUN
fcis-13841	72	15	.	.	PUNCT
fcis-13841	73	1	just	just	ADV
fcis-13841	73	2	like	like	ADP
fcis-13841	73	3	the	the	DET
fcis-13841	73	4	neural	neural	ADJ
fcis-13841	73	5	tangent	tangent	PROPN
fcis-13841	73	6	kernel	kernel	PROPN
fcis-13841	73	7	(	(	PUNCT
fcis-13841	73	8	ntk	ntk	PROPN
fcis-13841	73	9	)	)	PUNCT
fcis-13841	73	10	,	,	PUNCT
fcis-13841	73	11	it	it	PRON
fcis-13841	73	12	uses	use	VERB
fcis-13841	73	13	the	the	DET
fcis-13841	73	14	number	number	NOUN
fcis-13841	73	15	of	of	ADP
fcis-13841	73	16	linear	linear	ADJ
fcis-13841	73	17	regions	region	NOUN
fcis-13841	73	18	inside	inside	ADP
fcis-13841	73	19	the	the	DET
fcis-13841	73	20	network	network	NOUN
fcis-13841	73	21	as	as	ADP
fcis-13841	73	22	a	a	DET
fcis-13841	73	23	metric	metric	NOUN
fcis-13841	73	24	.	.	PUNCT
fcis-13841	74	1	the	the	PRON
fcis-13841	74	2	higher	high	ADJ
fcis-13841	74	3	the	the	DET
fcis-13841	74	4	number	number	NOUN
fcis-13841	74	5	of	of	ADP
fcis-13841	74	6	linear	linear	ADJ
fcis-13841	74	7	regions	region	NOUN
fcis-13841	74	8	,	,	PUNCT
fcis-13841	74	9	the	the	PRON
fcis-13841	74	10	better	well	ADJ
fcis-13841	74	11	the	the	DET
fcis-13841	74	12	accuracy	accuracy	NOUN
fcis-13841	74	13	of	of	ADP
fcis-13841	74	14	the	the	DET
fcis-13841	74	15	network[11	network[11	NOUN
fcis-13841	74	16	]	]	PUNCT
fcis-13841	74	17	.	.	PUNCT
fcis-13841	75	1	specifically	specifically	ADV
fcis-13841	75	2	,	,	PUNCT
fcis-13841	75	3	the	the	DET
fcis-13841	75	4	network	network	NOUN
fcis-13841	75	5	weights	weight	VERB
fcis-13841	75	6	w	w	NOUN
fcis-13841	75	7	are	be	AUX
fcis-13841	75	8	first	first	ADV
fcis-13841	75	9	randomly	randomly	ADV
fcis-13841	75	10	initialized	initialize	VERB
fcis-13841	75	11	.	.	PUNCT
fcis-13841	76	1	input	input	NOUN
fcis-13841	76	2	x	x	VERB
fcis-13841	76	3	is	be	AUX
fcis-13841	76	4	randomly	randomly	ADV
fcis-13841	76	5	sampled	sample	VERB
fcis-13841	76	6	from	from	ADP
fcis-13841	76	7	a	a	DET
fcis-13841	76	8	gaussian	gaussian	ADJ
fcis-13841	76	9	distribution	distribution	NOUN
fcis-13841	76	10	.	.	PUNCT
fcis-13841	77	1	then	then	ADV
fcis-13841	77	2	the	the	DET
fcis-13841	77	3	ntk	ntk	PROPN
fcis-13841	77	4	of	of	ADP
fcis-13841	77	5	this	this	DET
fcis-13841	77	6	network	network	NOUN
fcis-13841	77	7	is	be	AUX
fcis-13841	77	8	calculated	calculate	VERB
fcis-13841	77	9	based	base	VERB
fcis-13841	77	10	on	on	ADP
fcis-13841	77	11	the	the	DET
fcis-13841	77	12	input	input	NOUN
fcis-13841	77	13	x	x	NOUN
fcis-13841	77	14	,	,	PUNCT
fcis-13841	77	15	and	and	CCONJ
fcis-13841	77	16	the	the	DET
fcis-13841	77	17	loss	loss	NOUN
fcis-13841	77	18	function	function	NOUN
fcis-13841	77	19	is	be	AUX
fcis-13841	77	20	designed	design	VERB
fcis-13841	77	21	based	base	VERB
fcis-13841	77	22	on	on	ADP
fcis-13841	77	23	the	the	DET
fcis-13841	77	24	ntk	ntk	PROPN
fcis-13841	77	25	and	and	CCONJ
fcis-13841	77	26	the	the	DET
fcis-13841	77	27	gradient	gradient	ADJ
fcis-13841	77	28	descent	descent	NOUN
fcis-13841	77	29	algorithm	algorithm	NOUN
fcis-13841	77	30	is	be	AUX
fcis-13841	77	31	used	use	VERB
fcis-13841	77	32	to	to	PART
fcis-13841	77	33	optimize	optimize	VERB
fcis-13841	77	34	the	the	DET
fcis-13841	77	35	network	network	NOUN
fcis-13841	77	36	weights	weight	VERB
fcis-13841	77	37	w.	w.	PROPN
fcis-13841	77	38	let	let	VERB
fcis-13841	77	39	f	f	PRON
fcis-13841	77	40	be	be	AUX
fcis-13841	77	41	f	f	PROPN
fcis-13841	77	42	mapping	mapping	NOUN
fcis-13841	77	43	function	function	NOUN
fcis-13841	77	44	,	,	PUNCT
fcis-13841	77	45	θ	θ	PROPN
fcis-13841	77	46	a	a	DET
fcis-13841	77	47	trainable	trainable	ADJ
fcis-13841	77	48	set	set	NOUN
fcis-13841	77	49	of	of	ADP
fcis-13841	77	50	weight	weight	NOUN
fcis-13841	77	51	parameters	parameter	NOUN
fcis-13841	77	52	,	,	PUNCT
fcis-13841	77	53	and	and	CCONJ
fcis-13841	77	54	θ	θ	PROPN
fcis-13841	77	55	a	a	DET
fcis-13841	77	56	randomly	randomly	ADV
fcis-13841	77	57	initialized	initialize	VERB
fcis-13841	77	58	weight	weight	NOUN
fcis-13841	77	59	.	.	PUNCT
fcis-13841	78	1	ntk	ntk	PROPN
fcis-13841	78	2	can	can	AUX
fcis-13841	78	3	be	be	AUX
fcis-13841	78	4	expressed	express	VERB
fcis-13841	78	5	as	as	ADP
fcis-13841	78	6	equation	equation	NOUN
fcis-13841	78	7	(	(	PUNCT
fcis-13841	78	8	9	9	NUM
fcis-13841	78	9	)	)	PUNCT
fcis-13841	78	10	.	.	PUNCT
fcis-13841	79	1	f	f	X
fcis-13841	80	1	x	x	X
fcis-13841	80	2	f	f	NOUN
fcis-13841	80	3	x	x	SYM
fcis-13841	80	4	θ	θ	X
fcis-13841	80	5	θ	θ	NOUN
fcis-13841	80	6	f	f	X
fcis-13841	80	7	x	x	SYM
fcis-13841	80	8	(	(	PUNCT
fcis-13841	80	9	8)	8)	NUM
fcis-13841	80	10	ntk	ntk	PROPN
fcis-13841	80	11	x	x	PROPN
fcis-13841	80	12	,	,	PUNCT
fcis-13841	80	13	x′	x′	PROPN
fcis-13841	81	1	f	f	PROPN
fcis-13841	81	2	x	x	X
fcis-13841	81	3	,	,	PUNCT
fcis-13841	81	4	f	f	PROPN
fcis-13841	81	5	x′	x′	PROPN
fcis-13841	81	6	(	(	PUNCT
fcis-13841	81	7	9	9	NUM
fcis-13841	81	8	)	)	PUNCT
fcis-13841	81	9	f	f	NOUN
fcis-13841	81	10	x	x	X
fcis-13841	81	11	is	be	AUX
fcis-13841	81	12	a	a	DET
fcis-13841	81	13	jacobian	jacobian	ADJ
fcis-13841	81	14	matrix	matrix	NOUN
fcis-13841	81	15	.	.	PUNCT
fcis-13841	82	1	it	it	PRON
fcis-13841	82	2	can	can	AUX
fcis-13841	82	3	be	be	AUX
fcis-13841	82	4	seen	see	VERB
fcis-13841	82	5	that	that	SCONJ
fcis-13841	82	6	the	the	DET
fcis-13841	82	7	essence	essence	NOUN
fcis-13841	82	8	of	of	ADP
fcis-13841	82	9	ntk	ntk	PROPN
fcis-13841	82	10	is	be	AUX
fcis-13841	82	11	the	the	DET
fcis-13841	82	12	dot	dot	NOUN
fcis-13841	82	13	product	product	NOUN
fcis-13841	82	14	of	of	ADP
fcis-13841	82	15	two	two	NUM
fcis-13841	82	16	gradient	gradient	ADJ
fcis-13841	82	17	vectors	vector	NOUN
fcis-13841	82	18	,	,	PUNCT
fcis-13841	82	19	which	which	PRON
fcis-13841	82	20	represents	represent	VERB
fcis-13841	82	21	the	the	DET
fcis-13841	82	22	condensed	condensed	ADJ
fcis-13841	82	23	expression	expression	NOUN
fcis-13841	82	24	of	of	ADP
fcis-13841	82	25	the	the	DET
fcis-13841	82	26	gradient	gradient	NOUN
fcis-13841	82	27	value	value	NOUN
fcis-13841	82	28	and	and	CCONJ
fcis-13841	82	29	gradient	gradient	ADJ
fcis-13841	82	30	correlation	correlation	NOUN
fcis-13841	82	31	[	[	X
fcis-13841	82	32	14	14	NUM
fcis-13841	82	33	]	]	PUNCT
fcis-13841	82	34	.	.	PUNCT
fcis-13841	83	1	in	in	ADP
fcis-13841	83	2	our	our	PRON
fcis-13841	83	3	project	project	NOUN
fcis-13841	83	4	,	,	PUNCT
fcis-13841	83	5	ntk	ntk	PROPN
fcis-13841	83	6	did	do	AUX
fcis-13841	83	7	not	not	PART
fcis-13841	83	8	perform	perform	VERB
fcis-13841	83	9	well	well	ADV
fcis-13841	83	10	.	.	PUNCT
fcis-13841	84	1	because	because	SCONJ
fcis-13841	84	2	ntk	ntk	PROPN
fcis-13841	84	3	and	and	CCONJ
fcis-13841	84	4	network	network	NOUN
fcis-13841	84	5	accuracy	accuracy	NOUN
fcis-13841	84	6	are	be	AUX
fcis-13841	84	7	positively	positively	ADV
fcis-13841	84	8	correlated	correlate	VERB
fcis-13841	84	9	on	on	ADP
fcis-13841	84	10	the	the	DET
fcis-13841	84	11	premise	premise	NOUN
fcis-13841	84	12	that	that	SCONJ
fcis-13841	84	13	ntk	ntk	PROPN
fcis-13841	84	14	can	can	AUX
fcis-13841	84	15	not	not	PART
fcis-13841	84	16	change	change	VERB
fcis-13841	84	17	too	too	ADV
fcis-13841	84	18	much	much	ADJ
fcis-13841	84	19	during	during	ADP
fcis-13841	84	20	training	training	NOUN
fcis-13841	84	21	,	,	PUNCT
fcis-13841	84	22	and	and	CCONJ
fcis-13841	84	23	the	the	DET
fcis-13841	84	24	learning	learning	NOUN
fcis-13841	84	25	rate	rate	NOUN
fcis-13841	84	26	should	should	AUX
fcis-13841	84	27	be	be	AUX
fcis-13841	84	28	small	small	ADJ
fcis-13841	84	29	enough	enough	ADV
fcis-13841	85	1	[	[	X
fcis-13841	85	2	16	16	NUM
fcis-13841	85	3	]	]	PUNCT
fcis-13841	85	4	.	.	PUNCT
fcis-13841	86	1	in	in	ADP
fcis-13841	86	2	our	our	PRON
fcis-13841	86	3	target	target	NOUN
fcis-13841	86	4	task	task	NOUN
fcis-13841	86	5	,	,	PUNCT
fcis-13841	86	6	the	the	DET
fcis-13841	86	7	variation	variation	NOUN
fcis-13841	86	8	of	of	ADP
fcis-13841	86	9	ntk	ntk	PROPN
fcis-13841	86	10	is	be	AUX
fcis-13841	86	11	large	large	ADJ
fcis-13841	86	12	,	,	PUNCT
fcis-13841	86	13	so	so	SCONJ
fcis-13841	86	14	we	we	PRON
fcis-13841	86	15	make	make	VERB
fcis-13841	86	16	improvements	improvement	NOUN
fcis-13841	86	17	to	to	ADP
fcis-13841	86	18	the	the	DET
fcis-13841	86	19	traditional	traditional	ADJ
fcis-13841	86	20	ntk	ntk	PROPN
fcis-13841	86	21	.	.	PUNCT
fcis-13841	87	1	the	the	DET
fcis-13841	87	2	output	output	NOUN
fcis-13841	87	3	of	of	ADP
fcis-13841	87	4	the	the	DET
fcis-13841	87	5	bn	bn	NOUN
fcis-13841	87	6	layer	layer	NOUN
fcis-13841	87	7	can	can	AUX
fcis-13841	87	8	similarly	similarly	ADV
fcis-13841	87	9	be	be	AUX
fcis-13841	87	10	used	use	VERB
fcis-13841	87	11	as	as	ADP
fcis-13841	87	12	zen	zen	NOUN
fcis-13841	87	13	-	-	PUNCT
fcis-13841	87	14	score	score	NOUN
fcis-13841	87	15	.	.	PUNCT
fcis-13841	88	1	the	the	DET
fcis-13841	88	2	output	output	NOUN
fcis-13841	88	3	of	of	ADP
fcis-13841	88	4	bn	bn	NOUN
fcis-13841	88	5	layer	layer	NOUN
fcis-13841	88	6	does	do	AUX
fcis-13841	88	7	not	not	PART
fcis-13841	88	8	need	need	VERB
fcis-13841	88	9	too	too	ADV
fcis-13841	88	10	many	many	ADJ
fcis-13841	88	11	assumptions	assumption	NOUN
fcis-13841	88	12	to	to	PART
fcis-13841	88	13	express	express	VERB
fcis-13841	88	14	the	the	DET
fcis-13841	88	15	classification	classification	NOUN
fcis-13841	88	16	ability	ability	NOUN
fcis-13841	88	17	of	of	ADP
fcis-13841	88	18	the	the	DET
fcis-13841	88	19	network	network	NOUN
fcis-13841	88	20	[	[	X
fcis-13841	88	21	16	16	NUM
fcis-13841	88	22	]	]	PUNCT
fcis-13841	88	23	.	.	PUNCT
fcis-13841	89	1	we	we	PRON
fcis-13841	89	2	find	find	VERB
fcis-13841	89	3	through	through	ADP
fcis-13841	89	4	experiments	experiment	NOUN
fcis-13841	89	5	that	that	SCONJ
fcis-13841	89	6	bn	bn	ADV
fcis-13841	89	7	as	as	SCONJ
fcis-13841	89	8	zen	zen	NOUN
fcis-13841	89	9	-	-	PUNCT
fcis-13841	89	10	score	score	NOUN
fcis-13841	89	11	is	be	AUX
fcis-13841	89	12	not	not	PART
fcis-13841	89	13	as	as	ADV
fcis-13841	89	14	effective	effective	ADJ
fcis-13841	89	15	as	as	ADP
fcis-13841	89	16	ntk	ntk	PROPN
fcis-13841	89	17	in	in	ADP
fcis-13841	89	18	our	our	PRON
fcis-13841	89	19	target	target	NOUN
fcis-13841	89	20	task	task	NOUN
fcis-13841	89	21	,	,	PUNCT
fcis-13841	89	22	and	and	CCONJ
fcis-13841	89	23	when	when	SCONJ
fcis-13841	89	24	they	they	PRON
fcis-13841	89	25	are	be	AUX
fcis-13841	89	26	used	use	VERB
fcis-13841	89	27	together	together	ADV
fcis-13841	89	28	,	,	PUNCT
fcis-13841	89	29	the	the	DET
fcis-13841	89	30	effect	effect	NOUN
fcis-13841	89	31	is	be	AUX
fcis-13841	89	32	higher	high	ADJ
fcis-13841	89	33	than	than	ADP
fcis-13841	89	34	that	that	PRON
fcis-13841	89	35	of	of	ADP
fcis-13841	89	36	using	use	VERB
fcis-13841	89	37	one	one	NUM
fcis-13841	89	38	alone	alone	ADV
fcis-13841	89	39	.	.	PUNCT
fcis-13841	90	1	let	let	VERB
fcis-13841	90	2	β	β	PRON
fcis-13841	90	3	,	,	PUNCT
fcis-13841	90	4	β	β	X
fcis-13841	90	5	be	be	AUX
fcis-13841	90	6	two	two	NUM
fcis-13841	90	7	hyperparameters	hyperparameter	NOUN
fcis-13841	90	8	,	,	PUNCT
fcis-13841	90	9	and	and	CCONJ
fcis-13841	90	10	the	the	DET
fcis-13841	90	11	final	final	ADJ
fcis-13841	90	12	zen	zen	NOUN
fcis-13841	90	13	-	-	PUNCT
fcis-13841	90	14	score	score	NOUN
fcis-13841	90	15	used	use	VERB
fcis-13841	90	16	is	be	AUX
fcis-13841	90	17	as	as	ADP
fcis-13841	90	18	in	in	ADP
fcis-13841	90	19	(	(	PUNCT
fcis-13841	90	20	10	10	NUM
fcis-13841	90	21	)	)	PUNCT
fcis-13841	90	22	.	.	PUNCT
fcis-13841	91	1	zen	zen	PROPN
fcis-13841	91	2	f	f	PROPN
fcis-13841	91	3	β	β	PROPN
fcis-13841	91	4	log	log	PROPN
fcis-13841	91	5	ntk	ntk	PROPN
fcis-13841	91	6	β	β	X
fcis-13841	91	7	(	(	PUNCT
fcis-13841	91	8	10	10	NUM
fcis-13841	91	9	)	)	PUNCT
fcis-13841	91	10	to	to	PART
fcis-13841	91	11	summarize	summarize	VERB
fcis-13841	91	12	,	,	PUNCT
fcis-13841	91	13	our	our	PRON
fcis-13841	91	14	algorithm	algorithm	NOUN
fcis-13841	91	15	first	first	ADV
fcis-13841	91	16	trains	train	VERB
fcis-13841	91	17	the	the	DET
fcis-13841	91	18	searched	search	VERB
fcis-13841	91	19	subarchitectures	subarchitecture	NOUN
fcis-13841	91	20	using	use	VERB
fcis-13841	91	21	zen	zen	NOUN
fcis-13841	91	22	-	-	PUNCT
fcis-13841	91	23	score	score	NOUN
fcis-13841	91	24	and	and	CCONJ
fcis-13841	91	25	updates	update	VERB
fcis-13841	91	26	the	the	DET
fcis-13841	91	27	shared	share	VERB
fcis-13841	91	28	weights	weight	NOUN
fcis-13841	91	29	w.	w.	PROPN
fcis-13841	91	30	after	after	SCONJ
fcis-13841	91	31	m	m	PROPN
fcis-13841	91	32	epochs	epoch	NOUN
fcis-13841	91	33	(	(	PUNCT
fcis-13841	91	34	m	m	VERB
fcis-13841	91	35	is	be	AUX
fcis-13841	91	36	a	a	DET
fcis-13841	91	37	hyperparameter	hyperparameter	NOUN
fcis-13841	91	38	)	)	PUNCT
fcis-13841	91	39	,	,	PUNCT
fcis-13841	91	40	the	the	DET
fcis-13841	91	41	labeled	label	VERB
fcis-13841	91	42	data	datum	NOUN
fcis-13841	91	43	will	will	AUX
fcis-13841	91	44	be	be	AUX
fcis-13841	91	45	used	use	VERB
fcis-13841	91	46	to	to	PART
fcis-13841	91	47	train	train	VERB
fcis-13841	91	48	the	the	DET
fcis-13841	91	49	searched	search	VERB
fcis-13841	91	50	subarchitectures	subarchitecture	NOUN
fcis-13841	91	51	and	and	CCONJ
fcis-13841	91	52	the	the	DET
fcis-13841	91	53	shared	share	VERB
fcis-13841	91	54	weights	weight	NOUN
fcis-13841	91	55	w	w	NOUN
fcis-13841	91	56	will	will	AUX
fcis-13841	91	57	be	be	AUX
fcis-13841	91	58	updated	update	VERB
fcis-13841	91	59	.	.	PUNCT
fcis-13841	92	1	with	with	ADP
fcis-13841	92	2	this	this	DET
fcis-13841	92	3	method	method	NOUN
fcis-13841	92	4	,	,	PUNCT
fcis-13841	92	5	the	the	DET
fcis-13841	92	6	time	time	NOUN
fcis-13841	92	7	overhead	overhead	ADV
fcis-13841	92	8	of	of	ADP
fcis-13841	92	9	training	train	VERB
fcis-13841	92	10	the	the	DET
fcis-13841	92	11	searched	searched	ADJ
fcis-13841	92	12	candidate	candidate	NOUN
fcis-13841	92	13	network	network	NOUN
fcis-13841	92	14	is	be	AUX
fcis-13841	92	15	negligible	negligible	ADJ
fcis-13841	92	16	during	during	ADP
fcis-13841	92	17	the	the	DET
fcis-13841	92	18	first	first	ADJ
fcis-13841	92	19	m	m	NOUN
fcis-13841	92	20	epochs	epoch	NOUN
fcis-13841	92	21	.	.	PUNCT
fcis-13841	93	1	4	4	X
fcis-13841	93	2	.	.	NUM
fcis-13841	93	3	experiments	experiment	NOUN
fcis-13841	93	4	4.1	4.1	NUM
fcis-13841	93	5	.	.	PUNCT
fcis-13841	94	1	datasets	dataset	NOUN
fcis-13841	94	2	in	in	ADP
fcis-13841	94	3	this	this	DET
fcis-13841	94	4	section	section	NOUN
fcis-13841	94	5	,	,	PUNCT
fcis-13841	94	6	we	we	PRON
fcis-13841	94	7	conduct	conduct	VERB
fcis-13841	94	8	several	several	ADJ
fcis-13841	94	9	experiments	experiment	NOUN
fcis-13841	94	10	to	to	PART
fcis-13841	94	11	verify	verify	VERB
fcis-13841	94	12	the	the	DET
fcis-13841	94	13	effectiveness	effectiveness	NOUN
fcis-13841	94	14	of	of	ADP
fcis-13841	94	15	the	the	DET
fcis-13841	94	16	proposed	propose	VERB
fcis-13841	94	17	method	method	NOUN
fcis-13841	94	18	.	.	PUNCT
fcis-13841	95	1	the	the	DET
fcis-13841	95	2	datasets	dataset	NOUN
fcis-13841	95	3	we	we	PRON
fcis-13841	95	4	have	have	AUX
fcis-13841	95	5	used	use	VERB
fcis-13841	95	6	include	include	VERB
fcis-13841	95	7	cifar-10	cifar-10	PROPN
fcis-13841	95	8	and	and	CCONJ
fcis-13841	95	9	the	the	DET
fcis-13841	95	10	datasets	dataset	NOUN
fcis-13841	95	11	in	in	ADP
fcis-13841	95	12	our	our	PRON
fcis-13841	95	13	project	project	NOUN
fcis-13841	95	14	.	.	PUNCT
fcis-13841	96	1	4.2	4.2	NUM
fcis-13841	96	2	.	.	PUNCT
fcis-13841	96	3	search	search	NOUN
fcis-13841	96	4	space	space	NOUN
fcis-13841	96	5	the	the	DET
fcis-13841	96	6	parameter	parameter	NOUN
fcis-13841	96	7	settings	setting	NOUN
fcis-13841	96	8	are	be	AUX
fcis-13841	96	9	described	describe	VERB
fcis-13841	96	10	next	next	ADV
fcis-13841	96	11	.	.	PUNCT
fcis-13841	97	1	the	the	DET
fcis-13841	97	2	search	search	NOUN
fcis-13841	97	3	space	space	NOUN
fcis-13841	97	4	is	be	AUX
fcis-13841	97	5	the	the	DET
fcis-13841	97	6	same	same	ADJ
fcis-13841	97	7	as	as	ADP
fcis-13841	97	8	darts[9	darts[9	NOUN
fcis-13841	97	9	]	]	PUNCT
fcis-13841	97	10	,	,	PUNCT
fcis-13841	97	11	using	use	VERB
fcis-13841	97	12	normal	normal	ADJ
fcis-13841	97	13	cells	cell	NOUN
fcis-13841	97	14	and	and	CCONJ
fcis-13841	97	15	reduction	reduction	NOUN
fcis-13841	97	16	cells	cell	NOUN
fcis-13841	97	17	,	,	PUNCT
fcis-13841	97	18	and	and	CCONJ
fcis-13841	97	19	the	the	DET
fcis-13841	97	20	alternative	alternative	ADJ
fcis-13841	97	21	operations	operation	NOUN
fcis-13841	97	22	for	for	ADP
fcis-13841	97	23	each	each	DET
fcis-13841	97	24	connected	connect	VERB
fcis-13841	97	25	edge	edge	NOUN
fcis-13841	97	26	are	be	AUX
fcis-13841	97	27	:	:	PUNCT
fcis-13841	97	28	3	3	NUM
fcis-13841	97	29	×	×	NOUN
fcis-13841	97	30	3	3	NUM
fcis-13841	97	31	and	and	CCONJ
fcis-13841	97	32	5	5	NUM
fcis-13841	97	33	×	×	NOUN
fcis-13841	97	34	5	5	NUM
fcis-13841	97	35	separable	separable	ADJ
fcis-13841	97	36	convolutions	convolution	NOUN
fcis-13841	97	37	,	,	PUNCT
fcis-13841	97	38	3	3	NUM
fcis-13841	97	39	×	×	NOUN
fcis-13841	97	40	3	3	NUM
fcis-13841	97	41	and	and	CCONJ
fcis-13841	97	42	5	5	NUM
fcis-13841	97	43	×	×	NOUN
fcis-13841	97	44	5	5	NUM
fcis-13841	97	45	,	,	PUNCT
fcis-13841	97	46	dilated	dilated	ADJ
fcis-13841	97	47	separable	separable	ADJ
fcis-13841	97	48	convolutions	convolution	NOUN
fcis-13841	97	49	,	,	PUNCT
fcis-13841	97	50	3	3	NUM
fcis-13841	97	51	×	×	NOUN
fcis-13841	97	52	3	3	NUM
fcis-13841	97	53	max	max	PROPN
fcis-13841	97	54	pooling	pooling	NOUN
fcis-13841	97	55	,	,	PUNCT
fcis-13841	97	56	3	3	NUM
fcis-13841	97	57	×	×	NOUN
fcis-13841	97	58	3	3	NUM
fcis-13841	97	59	average	average	ADJ
fcis-13841	97	60	pooling	pooling	NOUN
fcis-13841	97	61	,	,	PUNCT
fcis-13841	97	62	identity	identity	NOUN
fcis-13841	97	63	,	,	PUNCT
fcis-13841	97	64	and	and	CCONJ
fcis-13841	97	65	zero	zero	NUM
fcis-13841	97	66	.	.	PUNCT
fcis-13841	98	1	each	each	DET
fcis-13841	98	2	cell	cell	NOUN
fcis-13841	98	3	consists	consist	VERB
fcis-13841	98	4	of	of	ADP
fcis-13841	98	5	7	7	NUM
fcis-13841	98	6	nodes	node	NOUN
fcis-13841	98	7	,	,	PUNCT
fcis-13841	98	8	and	and	CCONJ
fcis-13841	98	9	the	the	DET
fcis-13841	98	10	output	output	NOUN
fcis-13841	98	11	node	node	NOUN
fcis-13841	98	12	is	be	AUX
fcis-13841	98	13	concatenated	concatenate	VERB
fcis-13841	98	14	by	by	ADP
fcis-13841	98	15	all	all	DET
fcis-13841	98	16	intermediate	intermediate	ADJ
fcis-13841	98	17	nodes	node	NOUN
fcis-13841	98	18	.	.	PUNCT
fcis-13841	99	1	35	35	NUM
fcis-13841	99	2	4.3	4.3	NUM
fcis-13841	99	3	.	.	PUNCT
fcis-13841	100	1	searching	search	VERB
fcis-13841	100	2	on	on	ADP
fcis-13841	100	3	cifar-10	cifar-10	PROPN
fcis-13841	100	4	we	we	PRON
fcis-13841	100	5	tested	test	VERB
fcis-13841	100	6	our	our	PRON
fcis-13841	100	7	algorithm	algorithm	NOUN
fcis-13841	100	8	on	on	ADP
fcis-13841	100	9	cifar-10	cifar-10	PROPN
fcis-13841	100	10	and	and	CCONJ
fcis-13841	100	11	achieved	achieve	VERB
fcis-13841	100	12	an	an	DET
fcis-13841	100	13	error	error	NOUN
fcis-13841	100	14	rate	rate	NOUN
fcis-13841	100	15	of	of	ADP
fcis-13841	100	16	2.56	2.56	NUM
fcis-13841	100	17	%	%	NOUN
fcis-13841	100	18	,	,	PUNCT
fcis-13841	100	19	a	a	DET
fcis-13841	100	20	0.44	0.44	NUM
fcis-13841	100	21	%	%	NOUN
fcis-13841	100	22	improvement	improvement	NOUN
fcis-13841	100	23	over	over	ADP
fcis-13841	100	24	darts	dart	NOUN
fcis-13841	100	25	,	,	PUNCT
fcis-13841	100	26	and	and	CCONJ
fcis-13841	100	27	a	a	DET
fcis-13841	100	28	time	time	NOUN
fcis-13841	100	29	cost	cost	NOUN
fcis-13841	100	30	of	of	ADP
fcis-13841	100	31	2gpu	2gpu	NUM
fcis-13841	100	32	days	day	NOUN
fcis-13841	100	33	,	,	PUNCT
fcis-13841	100	34	0.25gpu	0.25gpu	NUM
fcis-13841	100	35	days	day	NOUN
fcis-13841	100	36	longer	long	ADV
fcis-13841	100	37	than	than	ADP
fcis-13841	100	38	darts	dart	NOUN
fcis-13841	100	39	.	.	PUNCT
fcis-13841	101	1	4.4	4.4	NUM
fcis-13841	101	2	.	.	PUNCT
fcis-13841	101	3	performance	performance	NOUN
fcis-13841	101	4	on	on	ADP
fcis-13841	101	5	the	the	DET
fcis-13841	101	6	project	project	NOUN
fcis-13841	101	7	our	our	PRON
fcis-13841	101	8	target	target	NOUN
fcis-13841	101	9	task	task	NOUN
fcis-13841	101	10	is	be	AUX
fcis-13841	101	11	to	to	PART
fcis-13841	101	12	judge	judge	VERB
fcis-13841	101	13	the	the	DET
fcis-13841	101	14	age	age	NOUN
fcis-13841	101	15	of	of	ADP
fcis-13841	101	16	a	a	DET
fcis-13841	101	17	person	person	NOUN
fcis-13841	101	18	based	base	VERB
fcis-13841	101	19	on	on	ADP
fcis-13841	101	20	an	an	DET
fcis-13841	101	21	image	image	NOUN
fcis-13841	101	22	,	,	PUNCT
fcis-13841	101	23	divided	divide	VERB
fcis-13841	101	24	into	into	ADP
fcis-13841	101	25	four	four	NUM
fcis-13841	101	26	classes	class	NOUN
fcis-13841	101	27	,	,	PUNCT
fcis-13841	101	28	child	child	NOUN
fcis-13841	101	29	,	,	PUNCT
fcis-13841	101	30	young	young	ADJ
fcis-13841	101	31	adult	adult	NOUN
fcis-13841	101	32	,	,	PUNCT
fcis-13841	101	33	old	old	ADJ
fcis-13841	101	34	adult	adult	NOUN
fcis-13841	101	35	,	,	PUNCT
fcis-13841	101	36	and	and	CCONJ
fcis-13841	101	37	non	non	ADJ
fcis-13841	101	38	-	-	ADJ
fcis-13841	101	39	human	human	ADJ
fcis-13841	101	40	.	.	PUNCT
fcis-13841	102	1	the	the	DET
fcis-13841	102	2	original	original	ADJ
fcis-13841	102	3	darts	dart	NOUN
fcis-13841	102	4	is	be	AUX
fcis-13841	102	5	for	for	ADP
fcis-13841	102	6	binary	binary	ADJ
fcis-13841	102	7	classification	classification	NOUN
fcis-13841	102	8	,	,	PUNCT
fcis-13841	102	9	so	so	SCONJ
fcis-13841	102	10	we	we	PRON
fcis-13841	102	11	need	need	VERB
fcis-13841	102	12	to	to	PART
fcis-13841	102	13	make	make	VERB
fcis-13841	102	14	some	some	DET
fcis-13841	102	15	improvements	improvement	NOUN
fcis-13841	102	16	in	in	ADP
fcis-13841	102	17	the	the	DET
fcis-13841	102	18	output	output	NOUN
fcis-13841	102	19	layer	layer	NOUN
fcis-13841	102	20	.	.	PUNCT
fcis-13841	103	1	our	our	PRON
fcis-13841	103	2	algorithm	algorithm	NOUN
fcis-13841	103	3	uses	use	VERB
fcis-13841	103	4	4	4	NUM
fcis-13841	103	5	fully	fully	ADV
fcis-13841	103	6	connected	connect	VERB
fcis-13841	103	7	layers	layer	NOUN
fcis-13841	103	8	for	for	ADP
fcis-13841	103	9	the	the	DET
fcis-13841	103	10	output	output	NOUN
fcis-13841	103	11	layer	layer	NOUN
fcis-13841	103	12	.	.	PUNCT
fcis-13841	104	1	in	in	ADP
fcis-13841	104	2	our	our	PRON
fcis-13841	104	3	project	project	NOUN
fcis-13841	104	4	,	,	PUNCT
fcis-13841	104	5	darts	dart	NOUN
fcis-13841	104	6	has	have	VERB
fcis-13841	104	7	a	a	DET
fcis-13841	104	8	map	map	NOUN
fcis-13841	104	9	of	of	ADP
fcis-13841	104	10	only	only	ADV
fcis-13841	104	11	78	78	NUM
fcis-13841	104	12	%	%	NOUN
fcis-13841	104	13	,	,	PUNCT
fcis-13841	104	14	while	while	SCONJ
fcis-13841	104	15	using	use	VERB
fcis-13841	104	16	our	our	PRON
fcis-13841	104	17	algorithm	algorithm	NOUN
fcis-13841	104	18	it	it	PRON
fcis-13841	104	19	achieves	achieve	VERB
fcis-13841	104	20	85	85	NUM
fcis-13841	104	21	%	%	NOUN
fcis-13841	104	22	.	.	PUNCT
fcis-13841	105	1	although	although	SCONJ
fcis-13841	105	2	the	the	DET
fcis-13841	105	3	time	time	NOUN
fcis-13841	105	4	cost	cost	NOUN
fcis-13841	105	5	of	of	ADP
fcis-13841	105	6	searching	search	VERB
fcis-13841	105	7	increased	increase	VERB
fcis-13841	105	8	by	by	ADP
fcis-13841	105	9	5	5	NUM
fcis-13841	105	10	-	-	SYM
fcis-13841	105	11	6	6	NUM
fcis-13841	105	12	gpu	gpu	NOUN
fcis-13841	105	13	hours	hour	NOUN
fcis-13841	105	14	,	,	PUNCT
fcis-13841	105	15	it	it	PRON
fcis-13841	105	16	greatly	greatly	ADV
fcis-13841	105	17	improved	improve	VERB
fcis-13841	105	18	the	the	DET
fcis-13841	105	19	accuracy	accuracy	NOUN
fcis-13841	105	20	of	of	ADP
fcis-13841	105	21	the	the	DET
fcis-13841	105	22	final	final	ADJ
fcis-13841	105	23	model	model	NOUN
fcis-13841	105	24	.	.	PUNCT
fcis-13841	106	1	5	5	X
fcis-13841	106	2	.	.	X
fcis-13841	106	3	conclusion	conclusion	NOUN
fcis-13841	106	4	in	in	ADP
fcis-13841	106	5	this	this	DET
fcis-13841	106	6	paper	paper	NOUN
fcis-13841	106	7	,	,	PUNCT
fcis-13841	106	8	we	we	PRON
fcis-13841	106	9	use	use	VERB
fcis-13841	106	10	a	a	DET
fcis-13841	106	11	multi	multi	ADJ
fcis-13841	106	12	-	-	ADJ
fcis-13841	106	13	step	step	ADJ
fcis-13841	106	14	optimization	optimization	NOUN
fcis-13841	106	15	strategy	strategy	NOUN
fcis-13841	106	16	to	to	PART
fcis-13841	106	17	reduce	reduce	VERB
fcis-13841	106	18	the	the	DET
fcis-13841	106	19	overfitting	overfitting	NOUN
fcis-13841	106	20	of	of	ADP
fcis-13841	106	21	darts	dart	NOUN
fcis-13841	106	22	,	,	PUNCT
fcis-13841	106	23	and	and	CCONJ
fcis-13841	106	24	then	then	ADV
fcis-13841	106	25	use	use	VERB
fcis-13841	106	26	zen	zen	NOUN
fcis-13841	106	27	-	-	PUNCT
fcis-13841	106	28	score	score	NOUN
fcis-13841	106	29	to	to	PART
fcis-13841	106	30	reduce	reduce	VERB
fcis-13841	106	31	the	the	DET
fcis-13841	106	32	time	time	NOUN
fcis-13841	106	33	overhead	overhead	ADV
fcis-13841	106	34	of	of	ADP
fcis-13841	106	35	multi	multi	NOUN
fcis-13841	106	36	-	-	NOUN
fcis-13841	106	37	darts	dart	NOUN
fcis-13841	106	38	.	.	PUNCT
fcis-13841	107	1	finally	finally	ADV
fcis-13841	107	2	,	,	PUNCT
fcis-13841	107	3	the	the	DET
fcis-13841	107	4	darts	dart	NOUN
fcis-13841	107	5	algorithm	algorithm	NOUN
fcis-13841	107	6	has	have	AUX
fcis-13841	107	7	been	be	AUX
fcis-13841	107	8	greatly	greatly	ADV
fcis-13841	107	9	improved	improve	VERB
fcis-13841	107	10	in	in	ADP
fcis-13841	107	11	our	our	PRON
fcis-13841	107	12	project	project	NOUN
fcis-13841	107	13	.	.	PUNCT
fcis-13841	108	1	references	reference	NOUN
fcis-13841	108	2	[	[	X
fcis-13841	108	3	1	1	NUM
fcis-13841	108	4	]	]	PUNCT
fcis-13841	108	5	zoph	zoph	NOUN
fcis-13841	108	6	b	b	PROPN
fcis-13841	108	7	,	,	PUNCT
fcis-13841	108	8	le	le	X
fcis-13841	108	9	q	q	PROPN
fcis-13841	108	10	v.	v.	ADP
fcis-13841	108	11	neural	neural	ADJ
fcis-13841	108	12	architecture	architecture	NOUN
fcis-13841	108	13	search	search	NOUN
fcis-13841	108	14	with	with	ADP
fcis-13841	108	15	reinforcement	reinforcement	NOUN
fcis-13841	108	16	learning[j	learning[j	NOUN
fcis-13841	108	17	]	]	PUNCT
fcis-13841	108	18	.	.	PUNCT
fcis-13841	109	1	arxiv	arxiv	PROPN
fcis-13841	109	2	preprint	preprint	PROPN
fcis-13841	109	3	arxiv:1611.01578	arxiv:1611.01578	PROPN
fcis-13841	109	4	,	,	PUNCT
fcis-13841	109	5	2016	2016	NUM
fcis-13841	109	6	.	.	PUNCT
fcis-13841	110	1	[	[	X
fcis-13841	110	2	2	2	X
fcis-13841	110	3	]	]	PUNCT
fcis-13841	110	4	he	he	PRON
fcis-13841	110	5	k	k	PROPN
fcis-13841	110	6	,	,	PUNCT
fcis-13841	110	7	zhang	zhang	PROPN
fcis-13841	110	8	x	x	X
fcis-13841	110	9	,	,	PUNCT
fcis-13841	110	10	ren	ren	PROPN
fcis-13841	110	11	s	s	PART
fcis-13841	110	12	,	,	PUNCT
fcis-13841	110	13	et	et	NOUN
fcis-13841	110	14	al.deep	al.deep	VERB
fcis-13841	110	15	residual	residual	ADJ
fcis-13841	110	16	learning	learning	NOUN
fcis-13841	110	17	for	for	ADP
fcis-13841	110	18	image	image	NOUN
fcis-13841	110	19	recognition[j].ieee	recognition[j].ieee	NOUN
fcis-13841	110	20	,	,	PUNCT
fcis-13841	110	21	2016.doi:10.1109	2016.doi:10.1109	NUM
fcis-13841	110	22	/	/	SYM
fcis-13841	110	23	cvpr.2016.90	cvpr.2016.90	NOUN
fcis-13841	110	24	.	.	PUNCT
fcis-13841	111	1	[	[	X
fcis-13841	111	2	3	3	X
fcis-13841	111	3	]	]	X
fcis-13841	111	4	simonyan	simonyan	PROPN
fcis-13841	112	1	k	k	NOUN
fcis-13841	112	2	,	,	PUNCT
fcis-13841	112	3	zisserman	zisserman	NOUN
fcis-13841	112	4	a	a	DET
fcis-13841	112	5	.very	.very	ADJ
fcis-13841	112	6	deep	deep	ADJ
fcis-13841	112	7	convolutional	convolutional	ADJ
fcis-13841	112	8	networks	network	NOUN
fcis-13841	112	9	for	for	ADP
fcis-13841	112	10	large	large	ADJ
fcis-13841	112	11	-	-	PUNCT
fcis-13841	112	12	scale	scale	NOUN
fcis-13841	112	13	image	image	NOUN
fcis-13841	112	14	recognition[j].computer	recognition[j].computer	PROPN
fcis-13841	112	15	science	science	NOUN
fcis-13841	112	16	,	,	PUNCT
fcis-13841	112	17	2014.doi:10.48550	2014.doi:10.48550	NUM
fcis-13841	112	18	/	/	SYM
fcis-13841	112	19	arxiv.1409.1556	arxiv.1409.1556	NOUN
fcis-13841	112	20	.	.	PUNCT
fcis-13841	113	1	[	[	X
fcis-13841	113	2	4	4	NUM
fcis-13841	113	3	]	]	X
fcis-13841	113	4	lecun	lecun	PROPN
fcis-13841	113	5	y	y	PROPN
fcis-13841	113	6	,	,	PUNCT
fcis-13841	113	7	bottou	bottou	PROPN
fcis-13841	113	8	l	l	NOUN
fcis-13841	113	9	.gradient	.gradient	NOUN
fcis-13841	113	10	-	-	PUNCT
fcis-13841	113	11	based	base	VERB
fcis-13841	113	12	learning	learning	NOUN
fcis-13841	113	13	applied	apply	VERB
fcis-13841	113	14	to	to	ADP
fcis-13841	113	15	document	document	NOUN
fcis-13841	113	16	recognition[j].proceedings	recognition[j].proceeding	NOUN
fcis-13841	113	17	of	of	ADP
fcis-13841	113	18	the	the	DET
fcis-13841	113	19	ieee	ieee	NOUN
fcis-13841	113	20	,	,	PUNCT
fcis-13841	113	21	1998	1998	NUM
fcis-13841	113	22	,	,	PUNCT
fcis-13841	113	23	86(11):2278	86(11):2278	NUM
fcis-13841	113	24	-	-	SYM
fcis-13841	113	25	2324.doi:10.1109/5.726791	2324.doi:10.1109/5.726791	NUM
fcis-13841	113	26	.	.	PUNCT
fcis-13841	114	1	[	[	X
fcis-13841	114	2	5	5	NUM
fcis-13841	114	3	]	]	PUNCT
fcis-13841	114	4	pham	pham	PROPN
fcis-13841	114	5	h	h	PROPN
fcis-13841	114	6	,	,	PUNCT
fcis-13841	114	7	guan	guan	PROPN
fcis-13841	114	8	m	m	PROPN
fcis-13841	114	9	,	,	PUNCT
fcis-13841	114	10	zoph	zoph	PROPN
fcis-13841	114	11	b	b	PROPN
fcis-13841	114	12	,	,	PUNCT
fcis-13841	114	13	et	et	PROPN
fcis-13841	114	14	al	al	PROPN
fcis-13841	114	15	.	.	PROPN
fcis-13841	114	16	efficient	efficient	ADJ
fcis-13841	114	17	neural	neural	ADJ
fcis-13841	114	18	architecture	architecture	NOUN
fcis-13841	114	19	search	search	NOUN
fcis-13841	114	20	via	via	ADP
fcis-13841	114	21	parameters	parameter	NOUN
fcis-13841	114	22	sharing[c]//international	sharing[c]//international	ADJ
fcis-13841	114	23	conference	conference	NOUN
fcis-13841	114	24	on	on	ADP
fcis-13841	114	25	machine	machine	NOUN
fcis-13841	114	26	learning	learning	NOUN
fcis-13841	114	27	.	.	PUNCT
fcis-13841	115	1	pmlr	pmlr	NOUN
fcis-13841	115	2	,	,	PUNCT
fcis-13841	115	3	2018	2018	NUM
fcis-13841	115	4	:	:	PUNCT
fcis-13841	115	5	4095	4095	NUM
fcis-13841	115	6	-	-	SYM
fcis-13841	115	7	4104	4104	NUM
fcis-13841	115	8	.	.	PUNCT
fcis-13841	116	1	[	[	X
fcis-13841	116	2	6	6	NUM
fcis-13841	116	3	]	]	X
fcis-13841	116	4	brock	brock	PROPN
fcis-13841	116	5	a	a	PROPN
fcis-13841	116	6	,	,	PUNCT
fcis-13841	116	7	lim	lim	PROPN
fcis-13841	116	8	t	t	PROPN
fcis-13841	116	9	,	,	PUNCT
fcis-13841	116	10	ritchie	ritchie	PROPN
fcis-13841	116	11	j	j	PROPN
fcis-13841	116	12	m	m	PROPN
fcis-13841	116	13	,	,	PUNCT
fcis-13841	116	14	et	et	PROPN
fcis-13841	116	15	al	al	PROPN
fcis-13841	116	16	.	.	PROPN
fcis-13841	116	17	smash	smash	PROPN
fcis-13841	116	18	:	:	PUNCT
fcis-13841	116	19	one	one	NUM
fcis-13841	116	20	-	-	PUNCT
fcis-13841	116	21	shot	shot	NOUN
fcis-13841	116	22	model	model	NOUN
fcis-13841	116	23	architecture	architecture	NOUN
fcis-13841	116	24	search	search	NOUN
fcis-13841	116	25	through	through	ADP
fcis-13841	116	26	hypernetworks[j	hypernetworks[j	PROPN
fcis-13841	116	27	]	]	PUNCT
fcis-13841	116	28	.	.	PUNCT
fcis-13841	117	1	arxiv	arxiv	PROPN
fcis-13841	117	2	preprint	preprint	NOUN
fcis-13841	117	3	arxiv:1708.05344	arxiv:1708.05344	NOUN
fcis-13841	117	4	,	,	PUNCT
fcis-13841	117	5	2017	2017	NUM
fcis-13841	117	6	.	.	PUNCT
fcis-13841	118	1	[	[	X
fcis-13841	118	2	7	7	X
fcis-13841	118	3	]	]	X
fcis-13841	118	4	liu	liu	PROPN
fcis-13841	118	5	h	h	PROPN
fcis-13841	118	6	,	,	PUNCT
fcis-13841	118	7	simonyan	simonyan	PROPN
fcis-13841	118	8	k	k	NOUN
fcis-13841	118	9	,	,	PUNCT
fcis-13841	118	10	yang	yang	PROPN
fcis-13841	118	11	y.	y.	PROPN
fcis-13841	118	12	darts	darts	PROPN
fcis-13841	118	13	:	:	PUNCT
fcis-13841	118	14	differentiable	differentiable	ADJ
fcis-13841	118	15	architecture	architecture	NOUN
fcis-13841	118	16	search[j	search[j	PROPN
fcis-13841	118	17	]	]	PUNCT
fcis-13841	118	18	.	.	PUNCT
fcis-13841	119	1	arxiv	arxiv	PROPN
fcis-13841	119	2	preprint	preprint	VERB
fcis-13841	119	3	arxiv:1806.09055	arxiv:1806.09055	NOUN
fcis-13841	119	4	,	,	PUNCT
fcis-13841	119	5	2018	2018	NUM
fcis-13841	119	6	.	.	PUNCT
fcis-13841	120	1	[	[	X
fcis-13841	120	2	8	8	NUM
fcis-13841	120	3	]	]	X
fcis-13841	120	4	chu	chu	PROPN
fcis-13841	120	5	x	x	PROPN
fcis-13841	120	6	,	,	PUNCT
fcis-13841	120	7	zhou	zhou	PROPN
fcis-13841	120	8	t	t	PROPN
fcis-13841	120	9	,	,	PUNCT
fcis-13841	120	10	zhang	zhang	PROPN
fcis-13841	120	11	b	b	PROPN
fcis-13841	120	12	,	,	PUNCT
fcis-13841	120	13	et	et	PROPN
fcis-13841	120	14	al.fair	al.fair	NOUN
fcis-13841	120	15	darts	dart	VERB
fcis-13841	120	16	:	:	PUNCT
fcis-13841	120	17	eliminating	eliminate	VERB
fcis-13841	120	18	unfair	unfair	ADJ
fcis-13841	120	19	advantages	advantage	NOUN
fcis-13841	120	20	in	in	ADP
fcis-13841	120	21	differentiable	differentiable	ADJ
fcis-13841	120	22	architecture	architecture	NOUN
fcis-13841	120	23	search	search	NOUN
fcis-13841	120	24	[	[	X
fcis-13841	120	25	c]//	c]//	PROPN
fcis-13841	120	26	european	european	ADJ
fcis-13841	120	27	conference	conference	NOUN
fcis-13841	120	28	on	on	ADP
fcis-13841	120	29	computer	computer	NOUN
fcis-13841	120	30	vision.springer	vision.springer	NOUN
fcis-13841	120	31	,	,	PUNCT
fcis-13841	120	32	cham	cham	PROPN
fcis-13841	120	33	,	,	PUNCT
fcis-13841	120	34	2020.doi:10.1007/978	2020.doi:10.1007/978	PROPN
fcis-13841	120	35	-	-	PUNCT
fcis-13841	120	36	3	3	NUM
fcis-13841	120	37	-	-	PUNCT
fcis-13841	120	38	030	030	NUM
fcis-13841	120	39	-	-	PUNCT
fcis-13841	120	40	58555	58555	NUM
fcis-13841	120	41	-	-	PUNCT
fcis-13841	120	42	6_28	6_28	NOUN
fcis-13841	120	43	.	.	PUNCT
fcis-13841	121	1	[	[	X
fcis-13841	121	2	9	9	NUM
fcis-13841	121	3	]	]	PUNCT
fcis-13841	121	4	hong	hong	PROPN
fcis-13841	121	5	w	w	PROPN
fcis-13841	121	6	,	,	PUNCT
fcis-13841	121	7	li	li	PROPN
fcis-13841	121	8	g	g	PROPN
fcis-13841	121	9	,	,	PUNCT
fcis-13841	121	10	zhang	zhang	PROPN
fcis-13841	121	11	w	w	PROPN
fcis-13841	121	12	,	,	PUNCT
fcis-13841	121	13	et	et	PROPN
fcis-13841	121	14	al.dropnas	al.dropna	NOUN
fcis-13841	121	15	:	:	PUNCT
fcis-13841	121	16	grouped	group	VERB
fcis-13841	121	17	operation	operation	NOUN
fcis-13841	121	18	dropout	dropout	NOUN
fcis-13841	121	19	for	for	ADP
fcis-13841	121	20	differentiable	differentiable	ADJ
fcis-13841	121	21	architecture	architecture	NOUN
fcis-13841	121	22	search[c]//twentyninth	search[c]//twentyninth	PROPN
fcis-13841	121	23	international	international	ADJ
fcis-13841	121	24	joint	joint	ADJ
fcis-13841	121	25	conference	conference	NOUN
fcis-13841	121	26	on	on	ADP
fcis-13841	121	27	artificial	artificial	ADJ
fcis-13841	121	28	intelligence	intelligence	NOUN
fcis-13841	121	29	and	and	CCONJ
fcis-13841	121	30	seventeenth	seventeenth	ADJ
fcis-13841	121	31	pacific	pacific	PROPN
fcis-13841	121	32	rim	rim	PROPN
fcis-13841	121	33	international	international	ADJ
fcis-13841	121	34	conference	conference	NOUN
fcis-13841	121	35	on	on	ADP
fcis-13841	121	36	artificial	artificial	ADJ
fcis-13841	121	37	intelligence	intelligence	NOUN
fcis-13841	121	38	{	{	PUNCT
fcis-13841	121	39	ijcai	ijcai	NOUN
fcis-13841	121	40	-	-	PUNCT
fcis-13841	121	41	pricai-20.2020	pricai-20.2020	PROPN
fcis-13841	121	42	.	.	PUNCT
fcis-13841	121	43	doi:10	doi:10	PROPN
fcis-13841	121	44	.	.	PUNCT
fcis-13841	122	1	24963/	24963/	NUM
fcis-13841	122	2	ijcai.2020/318	ijcai.2020/318	PROPN
fcis-13841	122	3	.	.	PUNCT
fcis-13841	123	1	[	[	X
fcis-13841	123	2	10	10	NUM
fcis-13841	123	3	]	]	X
fcis-13841	123	4	abdelfattah	abdelfattah	PROPN
fcis-13841	123	5	m	m	PROPN
fcis-13841	123	6	s	s	PROPN
fcis-13841	123	7	,	,	PUNCT
fcis-13841	123	8	mehrotra	mehrotra	ADJ
fcis-13841	123	9	a	a	PRON
fcis-13841	123	10	,	,	PUNCT
fcis-13841	123	11	dudziak	dudziak	NOUN
fcis-13841	123	12	u	u	PROPN
fcis-13841	123	13	,	,	PUNCT
fcis-13841	123	14	et	et	NOUN
fcis-13841	123	15	al.zero	al.zero	NUM
fcis-13841	123	16	-	-	PUNCT
fcis-13841	123	17	cost	cost	NOUN
fcis-13841	123	18	proxies	proxy	NOUN
fcis-13841	123	19	for	for	ADP
fcis-13841	123	20	lightweight	lightweight	ADJ
fcis-13841	123	21	nas[j	nas[j	PROPN
fcis-13841	123	22	]	]	PUNCT
fcis-13841	123	23	.	.	PUNCT
fcis-13841	124	1	2021.doi:10	2021.doi:10	NUM
fcis-13841	124	2	.	.	X
fcis-13841	125	1	48550/	48550/	NUM
fcis-13841	125	2	arxiv	arxiv	NOUN
fcis-13841	125	3	.	.	PUNCT
fcis-13841	126	1	2101.08134	2101.08134	NUM
fcis-13841	126	2	.	.	PUNCT
fcis-13841	127	1	[	[	X
fcis-13841	127	2	11	11	NUM
fcis-13841	127	3	]	]	X
fcis-13841	127	4	arthur	arthur	PROPN
fcis-13841	127	5	jacot	jacot	PROPN
fcis-13841	127	6	,	,	PUNCT
fcis-13841	127	7	franck	franck	PROPN
fcis-13841	127	8	gabriel	gabriel	PROPN
fcis-13841	127	9	,	,	PUNCT
fcis-13841	127	10	and	and	CCONJ
fcis-13841	127	11	clément	clément	NOUN
fcis-13841	127	12	hongler	hongler	NOUN
fcis-13841	127	13	.	.	PUNCT
fcis-13841	128	1	neural	neural	ADJ
fcis-13841	128	2	tangent	tangent	PROPN
fcis-13841	128	3	kernel	kernel	PROPN
fcis-13841	128	4	:	:	PUNCT
fcis-13841	128	5	convergence	convergence	NOUN
fcis-13841	128	6	and	and	CCONJ
fcis-13841	128	7	generalization	generalization	NOUN
fcis-13841	128	8	in	in	ADP
fcis-13841	128	9	neural	neural	ADJ
fcis-13841	128	10	networks	network	NOUN
fcis-13841	128	11	.	.	PUNCT
fcis-13841	129	1	in	in	ADP
fcis-13841	129	2	proceedings	proceeding	NOUN
fcis-13841	129	3	of	of	ADP
fcis-13841	129	4	the	the	DET
fcis-13841	129	5	32nd	32nd	ADJ
fcis-13841	129	6	international	international	ADJ
fcis-13841	129	7	conference	conference	NOUN
fcis-13841	129	8	on	on	ADP
fcis-13841	129	9	neural	neural	ADJ
fcis-13841	129	10	information	information	NOUN
fcis-13841	129	11	processing	processing	NOUN
fcis-13841	129	12	systems	system	NOUN
fcis-13841	129	13	,	,	PUNCT
fcis-13841	129	14	pages8580–8589	pages8580–8589	NOUN
fcis-13841	129	15	,	,	PUNCT
fcis-13841	129	16	2018	2018	NUM
fcis-13841	129	17	.	.	PUNCT
fcis-13841	130	1	[	[	X
fcis-13841	130	2	12	12	NUM
fcis-13841	130	3	]	]	X
fcis-13841	130	4	wuyang	wuyang	PROPN
fcis-13841	130	5	chen	chen	PROPN
fcis-13841	130	6	,	,	PUNCT
fcis-13841	130	7	xinyu	xinyu	PROPN
fcis-13841	130	8	gong	gong	PROPN
fcis-13841	130	9	,	,	PUNCT
fcis-13841	130	10	and	and	CCONJ
fcis-13841	130	11	zhangyang	zhangyang	PROPN
fcis-13841	130	12	wang	wang	PROPN
fcis-13841	130	13	.	.	PUNCT
fcis-13841	131	1	neural	neural	ADJ
fcis-13841	131	2	architecture	architecture	NOUN
fcis-13841	131	3	search	search	NOUN
fcis-13841	131	4	on	on	ADP
fcis-13841	131	5	imagenet	imagenet	NOUN
fcis-13841	131	6	in	in	ADP
fcis-13841	131	7	four	four	NUM
fcis-13841	131	8	gpu	gpu	NOUN
fcis-13841	131	9	hours	hour	NOUN
fcis-13841	131	10	:	:	PUNCT
fcis-13841	131	11	a	a	DET
fcis-13841	131	12	theoretically	theoretically	ADV
fcis-13841	131	13	inspired	inspire	VERB
fcis-13841	131	14	perspective	perspective	NOUN
fcis-13841	131	15	.	.	PUNCT
fcis-13841	132	1	in	in	ADP
fcis-13841	132	2	international	international	ADJ
fcis-13841	132	3	conference	conference	NOUN
fcis-13841	132	4	on	on	ADP
fcis-13841	132	5	learning	learn	VERB
fcis-13841	132	6	representations	representation	NOUN
fcis-13841	132	7	,	,	PUNCT
fcis-13841	132	8	2020	2020	NUM
fcis-13841	132	9	.	.	PUNCT
fcis-13841	133	1	[	[	X
fcis-13841	133	2	13	13	NUM
fcis-13841	133	3	]	]	PUNCT
fcis-13841	133	4	jingjing	jingjing	PROPN
fcis-13841	133	5	xu	xu	PROPN
fcis-13841	133	6	,	,	PUNCT
fcis-13841	133	7	liang	liang	PROPN
fcis-13841	133	8	zhao	zhao	PROPN
fcis-13841	133	9	,	,	PUNCT
fcis-13841	133	10	junyang	junyang	PROPN
fcis-13841	133	11	lin	lin	PROPN
fcis-13841	133	12	,	,	PUNCT
fcis-13841	133	13	rundong	rundong	PROPN
fcis-13841	133	14	gao	gao	PROPN
fcis-13841	133	15	,	,	PUNCT
fcis-13841	133	16	xu	xu	PROPN
fcis-13841	133	17	sun	sun	PROPN
fcis-13841	133	18	,	,	PUNCT
fcis-13841	133	19	and	and	CCONJ
fcis-13841	133	20	hongxia	hongxia	PROPN
fcis-13841	133	21	yang	yang	PROPN
fcis-13841	133	22	.	.	PUNCT
fcis-13841	134	1	knas	knas	PROPN
fcis-13841	134	2	:	:	PUNCT
fcis-13841	134	3	green	green	ADJ
fcis-13841	134	4	neural	neural	ADJ
fcis-13841	134	5	architecture	architecture	NOUN
fcis-13841	134	6	search	search	NOUN
fcis-13841	134	7	.	.	PUNCT
fcis-13841	135	1	in	in	ADP
fcis-13841	135	2	international	international	ADJ
fcis-13841	135	3	conference	conference	NOUN
fcis-13841	135	4	on	on	ADP
fcis-13841	135	5	machine	machine	NOUN
fcis-13841	135	6	learning	learning	NOUN
fcis-13841	135	7	,	,	PUNCT
fcis-13841	135	8	pages	page	NOUN
fcis-13841	135	9	11613	11613	NUM
fcis-13841	135	10	–	–	SYM
fcis-13841	135	11	11625	11625	NUM
fcis-13841	135	12	.	.	PUNCT
fcis-13841	135	13	pmlr	pmlr	NOUN
fcis-13841	135	14	,	,	PUNCT
fcis-13841	135	15	2021	2021	NUM
fcis-13841	135	16	.	.	PUNCT
fcis-13841	136	1	[	[	X
fcis-13841	136	2	14	14	NUM
fcis-13841	136	3	]	]	X
fcis-13841	136	4	lin	lin	PROPN
fcis-13841	136	5	m	m	PROPN
fcis-13841	136	6	,	,	PUNCT
fcis-13841	136	7	wang	wang	PROPN
fcis-13841	136	8	p	p	PROPN
fcis-13841	136	9	,	,	PUNCT
fcis-13841	136	10	sun	sun	PROPN
fcis-13841	136	11	z	z	PROPN
fcis-13841	136	12	,	,	PUNCT
fcis-13841	136	13	et	et	PROPN
fcis-13841	136	14	al.zen	al.zen	NOUN
fcis-13841	136	15	-	-	PUNCT
fcis-13841	136	16	nas	nas	VERB
fcis-13841	136	17	:	:	PUNCT
fcis-13841	136	18	a	a	DET
fcis-13841	136	19	zero	zero	NUM
fcis-13841	136	20	-	-	PUNCT
fcis-13841	136	21	shot	shot	NOUN
fcis-13841	136	22	nas	nas	NOUN
fcis-13841	136	23	for	for	ADP
fcis-13841	136	24	high	high	ADJ
fcis-13841	136	25	-	-	PUNCT
fcis-13841	136	26	performance	performance	NOUN
fcis-13841	136	27	deep	deep	ADJ
fcis-13841	136	28	image	image	NOUN
fcis-13841	136	29	recognition[j	recognition[j	NOUN
fcis-13841	136	30	]	]	PUNCT
fcis-13841	136	31	.	.	PUNCT
fcis-13841	137	1	2021.doi	2021.doi	NOUN
fcis-13841	137	2	:	:	PUNCT
fcis-13841	137	3	10	10	NUM
fcis-13841	137	4	.	.	X
fcis-13841	138	1	13140/	13140/	NUM
fcis-13841	138	2	rg.2.2.33579.98084	rg.2.2.33579.98084	NOUN
fcis-13841	138	3	.	.	PUNCT
fcis-13841	139	1	[	[	X
fcis-13841	139	2	15	15	NUM
fcis-13841	139	3	]	]	X
fcis-13841	139	4	wang	wang	PROPN
fcis-13841	139	5	h	h	PROPN
fcis-13841	139	6	,	,	PUNCT
fcis-13841	139	7	yang	yang	PROPN
fcis-13841	139	8	r	r	PROPN
fcis-13841	139	9	,	,	PUNCT
fcis-13841	139	10	huang	huang	PROPN
fcis-13841	139	11	d	d	PROPN
fcis-13841	139	12	,	,	PUNCT
fcis-13841	139	13	et	et	PROPN
fcis-13841	139	14	al.idarts	al.idart	NOUN
fcis-13841	139	15	:	:	PUNCT
fcis-13841	139	16	improving	improve	VERB
fcis-13841	139	17	darts	dart	NOUN
fcis-13841	139	18	by	by	ADP
fcis-13841	139	19	node	node	ADJ
fcis-13841	139	20	normalization	normalization	NOUN
fcis-13841	139	21	and	and	CCONJ
fcis-13841	139	22	decorrelation	decorrelation	NOUN
fcis-13841	139	23	discretization	discretization	NOUN
fcis-13841	139	24	[	[	X
fcis-13841	139	25	j].ieee	j].ieee	NOUN
fcis-13841	139	26	transactions	transaction	NOUN
fcis-13841	139	27	on	on	ADP
fcis-13841	139	28	neural	neural	ADJ
fcis-13841	139	29	networks	network	NOUN
fcis-13841	139	30	and	and	CCONJ
fcis-13841	139	31	learning	learning	NOUN
fcis-13841	139	32	systems	system	NOUN
fcis-13841	139	33	,	,	PUNCT
fcis-13841	139	34	2023	2023	NUM
fcis-13841	139	35	.	.	PUNCT
fcis-13841	140	1	[	[	X
fcis-13841	140	2	16	16	NUM
fcis-13841	140	3	]	]	X
fcis-13841	140	4	mok	mok	PROPN
fcis-13841	140	5	j	j	PROPN
fcis-13841	140	6	,	,	PUNCT
fcis-13841	140	7	na	na	PROPN
fcis-13841	140	8	b	b	NOUN
fcis-13841	140	9	,	,	PUNCT
fcis-13841	140	10	kim	kim	PROPN
fcis-13841	140	11	j	j	PROPN
fcis-13841	140	12	h	h	PROPN
fcis-13841	140	13	,	,	PUNCT
fcis-13841	140	14	et	et	VERB
fcis-13841	140	15	al.demystifying	al.demystifye	VERB
fcis-13841	140	16	the	the	DET
fcis-13841	140	17	neural	neural	ADJ
fcis-13841	140	18	tangent	tangent	NOUN
fcis-13841	140	19	kernel	kernel	PROPN
fcis-13841	140	20	from	from	ADP
fcis-13841	140	21	a	a	DET
fcis-13841	140	22	practical	practical	ADJ
fcis-13841	140	23	perspective	perspective	NOUN
fcis-13841	140	24	:	:	PUNCT
fcis-13841	140	25	can	can	AUX
fcis-13841	140	26	it	it	PRON
fcis-13841	140	27	be	be	AUX
fcis-13841	140	28	trusted	trust	VERB
fcis-13841	140	29	for	for	ADP
fcis-13841	140	30	neural	neural	ADJ
fcis-13841	140	31	architecture	architecture	NOUN
fcis-13841	140	32	search	search	NOUN
fcis-13841	140	33	without	without	ADP
fcis-13841	140	34	training?[j	training?[j	NOUN
fcis-13841	140	35	]	]	PUNCT
fcis-13841	140	36	.	.	PUNCT
fcis-13841	141	1	2022.doi	2022.doi	NUM
fcis-13841	141	2	:	:	PUNCT
fcis-13841	141	3	10	10	NUM
fcis-13841	141	4	.	.	X
fcis-13841	141	5	48550	48550	NUM
fcis-13841	141	6	/	/	SYM
fcis-13841	141	7	arxiv.2203.14577	arxiv.2203.14577	PROPN
fcis-13841	141	8	.	.	PUNCT
fcis-13841	142	1	[	[	X
fcis-13841	142	2	17	17	NUM
fcis-13841	142	3	]	]	PUNCT
fcis-13841	142	4	xie	xie	PROPN
fcis-13841	142	5	s	s	PROPN
fcis-13841	142	6	,	,	PUNCT
fcis-13841	142	7	zheng	zheng	PROPN
fcis-13841	142	8	h	h	PROPN
fcis-13841	142	9	,	,	PUNCT
fcis-13841	142	10	liu	liu	PROPN
fcis-13841	142	11	c	c	PROPN
fcis-13841	142	12	,	,	PUNCT
fcis-13841	142	13	et	et	PROPN
fcis-13841	142	14	al	al	PROPN
fcis-13841	142	15	.	.	PROPN
fcis-13841	142	16	snas	snas	PROPN
fcis-13841	142	17	:	:	PUNCT
fcis-13841	142	18	stochastic	stochastic	ADJ
fcis-13841	142	19	neural	neural	ADJ
fcis-13841	142	20	architecture	architecture	NOUN
fcis-13841	142	21	search[j	search[j	PROPN
fcis-13841	142	22	]	]	PUNCT
fcis-13841	142	23	.	.	PUNCT
fcis-13841	143	1	arxiv	arxiv	PROPN
fcis-13841	143	2	preprint	preprint	PROPN
fcis-13841	143	3	arxiv:1812.09926	arxiv:1812.09926	PROPN
fcis-13841	143	4	,	,	PUNCT
fcis-13841	143	5	2018	2018	NUM
fcis-13841	143	6	.	.	PUNCT
fcis-13841	144	1	[	[	X
fcis-13841	144	2	18	18	NUM
fcis-13841	144	3	]	]	X
fcis-13841	144	4	wang	wang	PROPN
fcis-13841	144	5	y	y	PROPN
fcis-13841	144	6	,	,	PUNCT
fcis-13841	144	7	yang	yang	PROPN
fcis-13841	144	8	y	y	PROPN
fcis-13841	144	9	,	,	PUNCT
fcis-13841	144	10	chen	chen	PROPN
fcis-13841	144	11	y	y	PROPN
fcis-13841	144	12	,	,	PUNCT
fcis-13841	144	13	et	et	PROPN
fcis-13841	144	14	al	al	PROPN
fcis-13841	144	15	.	.	PROPN
fcis-13841	144	16	textnas	textnas	PROPN
fcis-13841	144	17	:	:	PUNCT
fcis-13841	144	18	a	a	DET
fcis-13841	144	19	neural	neural	ADJ
fcis-13841	144	20	architecture	architecture	NOUN
fcis-13841	144	21	search	search	NOUN
fcis-13841	144	22	space	space	NOUN
fcis-13841	144	23	tailored	tailor	VERB
fcis-13841	144	24	for	for	ADP
fcis-13841	144	25	text	text	NOUN
fcis-13841	144	26	representation[c]//proceedings	representation[c]//proceeding	NOUN
fcis-13841	144	27	of	of	ADP
fcis-13841	144	28	the	the	DET
fcis-13841	144	29	aaai	aaai	PROPN
fcis-13841	144	30	conference	conference	NOUN
fcis-13841	144	31	on	on	ADP
fcis-13841	144	32	artificial	artificial	ADJ
fcis-13841	144	33	intelligence	intelligence	NOUN
fcis-13841	144	34	.	.	PUNCT
fcis-13841	145	1	2020	2020	NUM
fcis-13841	145	2	,	,	PUNCT
fcis-13841	145	3	34(05	34(05	NUM
fcis-13841	145	4	):	):	PUNCT
fcis-13841	145	5	9242	9242	NUM
fcis-13841	145	6	-	-	SYM
fcis-13841	145	7	9249	9249	NUM
fcis-13841	145	8	.	.	PUNCT
fcis-13841	146	1	[	[	X
fcis-13841	146	2	19	19	NUM
fcis-13841	146	3	]	]	X
fcis-13841	146	4	heuillet	heuillet	NOUN
fcis-13841	146	5	a	a	X
fcis-13841	146	6	,	,	PUNCT
fcis-13841	146	7	tabia	tabia	NOUN
fcis-13841	146	8	h	h	NOUN
fcis-13841	146	9	,	,	PUNCT
fcis-13841	146	10	arioui	arioui	PROPN
fcis-13841	146	11	h	h	PROPN
fcis-13841	146	12	,	,	PUNCT
fcis-13841	146	13	et	et	PROPN
fcis-13841	146	14	al.d	al.d	NOUN
fcis-13841	146	15	-	-	PUNCT
fcis-13841	146	16	darts	dart	NOUN
fcis-13841	146	17	:	:	PUNCT
fcis-13841	146	18	distributed	distribute	VERB
fcis-13841	146	19	differentiable	differentiable	ADJ
fcis-13841	146	20	architecture	architecture	NOUN
fcis-13841	146	21	search[j	search[j	PROPN
fcis-13841	146	22	]	]	PUNCT
fcis-13841	146	23	.	.	PUNCT
fcis-13841	147	1	2021.doi:10	2021.doi:10	NUM
fcis-13841	147	2	.	.	X
fcis-13841	148	1	48550/	48550/	NUM
fcis-13841	148	2	arxiv	arxiv	NOUN
fcis-13841	148	3	.	.	PUNCT
fcis-13841	149	1	2108.09306	2108.09306	NUM
fcis-13841	149	2	.	.	PUNCT
fcis-13841	150	1	[	[	X
fcis-13841	150	2	20	20	NUM
fcis-13841	150	3	]	]	X
fcis-13841	150	4	liang	liang	PROPN
fcis-13841	150	5	h	h	PROPN
fcis-13841	150	6	,	,	PUNCT
fcis-13841	150	7	zhang	zhang	PROPN
fcis-13841	150	8	s	s	PROPN
fcis-13841	150	9	,	,	PUNCT
fcis-13841	150	10	sun	sun	PROPN
fcis-13841	150	11	j	j	PROPN
fcis-13841	150	12	,	,	PUNCT
fcis-13841	150	13	et	et	PROPN
fcis-13841	150	14	al.darts+	al.darts+	PROPN
fcis-13841	150	15	:	:	PUNCT
fcis-13841	150	16	improved	improve	VERB
fcis-13841	150	17	differentiable	differentiable	ADJ
fcis-13841	150	18	architecture	architecture	NOUN
fcis-13841	150	19	search	search	NOUN
fcis-13841	150	20	with	with	ADP
fcis-13841	150	21	early	early	ADJ
fcis-13841	150	22	stopping[j	stopping[j	NOUN
fcis-13841	150	23	]	]	PUNCT
fcis-13841	150	24	.	.	PUNCT
fcis-13841	151	1	2019	2019	NUM
fcis-13841	151	2	.	.	PUNCT
fcis-13841	152	1	doi:10.48550	doi:10.48550	NOUN
fcis-13841	152	2	/	/	SYM
fcis-13841	152	3	arxiv.1909.06035	arxiv.1909.06035	PROPN
fcis-13841	152	4	.	.	PUNCT
fcis-13841	153	1	[	[	X
fcis-13841	153	2	21	21	NUM
fcis-13841	153	3	]	]	PUNCT
fcis-13841	153	4	xu	xu	PROPN
fcis-13841	154	1	y	y	PROPN
fcis-13841	154	2	,	,	PUNCT
fcis-13841	154	3	xie	xie	PROPN
fcis-13841	154	4	l	l	PROPN
fcis-13841	154	5	,	,	PUNCT
fcis-13841	154	6	zhang	zhang	PROPN
fcis-13841	154	7	x	x	X
fcis-13841	154	8	,	,	PUNCT
fcis-13841	154	9	et	et	PROPN
fcis-13841	154	10	al.pc	al.pc	NOUN
fcis-13841	154	11	-	-	PUNCT
fcis-13841	154	12	darts	dart	NOUN
fcis-13841	154	13	:	:	PUNCT
fcis-13841	154	14	partial	partial	ADJ
fcis-13841	154	15	channel	channel	NOUN
fcis-13841	154	16	connections	connection	NOUN
fcis-13841	154	17	for	for	ADP
fcis-13841	154	18	memory	memory	NOUN
fcis-13841	154	19	-	-	PUNCT
fcis-13841	154	20	efficient	efficient	ADJ
fcis-13841	154	21	architecture	architecture	NOUN
fcis-13841	154	22	search[c]//	search[c]//	PROPN
fcis-13841	154	23	international	international	ADJ
fcis-13841	154	24	conference	conference	NOUN
fcis-13841	154	25	on	on	ADP
fcis-13841	154	26	learning	learn	VERB
fcis-13841	154	27	representations.2020	representations.2020	PROPN
fcis-13841	154	28	.	.	PUNCT
fcis-13841	155	1	[	[	X
fcis-13841	155	2	22	22	NUM
fcis-13841	155	3	]	]	X
fcis-13841	155	4	chen	chen	PROPN
fcis-13841	155	5	j	j	PROPN
fcis-13841	155	6	t	t	PROPN
fcis-13841	155	7	q.	q.	PROPN
fcis-13841	155	8	progressive	progressive	PROPN
fcis-13841	155	9	darts	dart	NOUN
fcis-13841	155	10	:	:	PUNCT
fcis-13841	155	11	bridging	bridge	VERB
fcis-13841	155	12	the	the	DET
fcis-13841	155	13	optimization	optimization	NOUN
fcis-13841	155	14	gap	gap	NOUN
fcis-13841	155	15	for	for	ADP
fcis-13841	155	16	nas	nas	PROPN
fcis-13841	155	17	in	in	ADP
fcis-13841	155	18	the	the	DET
fcis-13841	155	19	wild[j].international	wild[j].international	ADJ
fcis-13841	155	20	journal	journal	NOUN
fcis-13841	155	21	of	of	ADP
fcis-13841	155	22	computer	computer	NOUN
fcis-13841	155	23	vision	vision	NOUN
fcis-13841	155	24	,	,	PUNCT
fcis-13841	155	25	2021	2021	NUM
fcis-13841	155	26	,	,	PUNCT
fcis-13841	155	27	129(3	129(3	NUM
fcis-13841	155	28	)	)	PUNCT
fcis-13841	155	29	.	.	PUNCT