id sid tid token lemma pos bracis-33655 1 1 elevating elevate VERB bracis-33655 1 2 healthcare healthcare NOUN bracis-33655 1 3 ai ai AUX bracis-33655 1 4 : : PUNCT bracis-33655 1 5 achieving achieve VERB bracis-33655 1 6 efficiency efficiency NOUN bracis-33655 1 7 and and CCONJ bracis-33655 1 8     SPACE bracis-33655 1 9 accuracy accuracy NOUN bracis-33655 1 10 in in ADP bracis-33655 1 11     SPACE bracis-33655 1 12 medical medical ADJ bracis-33655 1 13 applications application NOUN bracis-33655 1 14 with with ADP bracis-33655 1 15     SPACE bracis-33655 1 16 surrogate surrogate NOUN bracis-33655 1 17 - - PUNCT bracis-33655 1 18 based base VERB bracis-33655 1 19 multiobjective multiobjective ADJ bracis-33655 1 20 compression compression NOUN bracis-33655 1 21 of of ADP bracis-33655 1 22     SPACE bracis-33655 1 23 resnet50 resnet50 NOUN bracis-33655 1 24 cnns cnns PROPN bracis-33655 1 25 | | PROPN bracis-33655 1 26 springer springer NOUN bracis-33655 1 27 nature nature PROPN bracis-33655 1 28 link link PROPN bracis-33655 1 29 ( ( PUNCT bracis-33655 1 30 formerly formerly ADV bracis-33655 1 31 springerlink springerlink NOUN bracis-33655 1 32 ) ) PUNCT bracis-33655 1 33 skip skip VERB bracis-33655 1 34 to to ADP bracis-33655 1 35 main main ADJ bracis-33655 1 36 content content NOUN bracis-33655 1 37 advertisement advertisement NOUN bracis-33655 1 38 log log NOUN bracis-33655 1 39 in in ADP bracis-33655 1 40 menu menu NOUN bracis-33655 1 41 find find VERB bracis-33655 1 42 a a DET bracis-33655 1 43 journal journal NOUN bracis-33655 1 44 publish publish VERB bracis-33655 1 45 with with ADP bracis-33655 1 46 us we PRON bracis-33655 1 47 track track VERB bracis-33655 1 48 your your PRON bracis-33655 1 49 research research NOUN bracis-33655 1 50 search search NOUN bracis-33655 1 51 cart cart NOUN bracis-33655 1 52 home home NOUN bracis-33655 1 53 intelligent intelligent ADJ bracis-33655 1 54 systems system NOUN bracis-33655 1 55 conference conference NOUN bracis-33655 1 56 paper paper NOUN bracis-33655 1 57 elevating elevate VERB bracis-33655 1 58 healthcare healthcare NOUN bracis-33655 1 59 ai ai VERB bracis-33655 1 60 : : PUNCT bracis-33655 1 61 achieving achieve VERB bracis-33655 1 62 efficiency efficiency NOUN bracis-33655 1 63 and and CCONJ bracis-33655 1 64     SPACE bracis-33655 1 65 accuracy accuracy NOUN bracis-33655 1 66 in in ADP bracis-33655 1 67     SPACE bracis-33655 1 68 medical medical ADJ bracis-33655 1 69 applications application NOUN bracis-33655 1 70 with with ADP bracis-33655 1 71     SPACE bracis-33655 1 72 surrogate surrogate NOUN bracis-33655 1 73 - - PUNCT bracis-33655 1 74 based base VERB bracis-33655 1 75 multiobjective multiobjective ADJ bracis-33655 1 76 compression compression NOUN bracis-33655 1 77 of of ADP bracis-33655 1 78     SPACE bracis-33655 1 79 resnet50 resnet50 NOUN bracis-33655 1 80 cnns cnns PROPN bracis-33655 1 81 conference conference PROPN bracis-33655 1 82 paper paper NOUN bracis-33655 1 83 first first ADV bracis-33655 1 84 online online ADV bracis-33655 1 85 : : PUNCT bracis-33655 1 86 31 31 NUM bracis-33655 1 87 january january NOUN bracis-33655 1 88 2025 2025 NUM bracis-33655 1 89 pp pp ADP bracis-33655 1 90 137–151 137–151 NUM bracis-33655 1 91 cite cite VERB bracis-33655 1 92 this this DET bracis-33655 1 93 conference conference NOUN bracis-33655 1 94 paper paper NOUN bracis-33655 1 95 access access NOUN bracis-33655 1 96 provided provide VERB bracis-33655 1 97 by by ADP bracis-33655 1 98 university university PROPN bracis-33655 1 99 of of ADP bracis-33655 1 100 notre notre PROPN bracis-33655 1 101 dame dame PROPN bracis-33655 1 102 hesburgh hesburgh PROPN bracis-33655 1 103 library library PROPN bracis-33655 1 104 download download PROPN bracis-33655 1 105 book book NOUN bracis-33655 1 106 pdf pdf PROPN bracis-33655 1 107 download download NOUN bracis-33655 1 108 book book NOUN bracis-33655 1 109 epub epub PROPN bracis-33655 1 110 intelligent intelligent ADJ bracis-33655 1 111 systems system NOUN bracis-33655 1 112 ( ( PUNCT bracis-33655 1 113 bracis bracis NOUN bracis-33655 1 114 2024 2024 NUM bracis-33655 1 115 ) ) PUNCT bracis-33655 1 116 elevating elevate VERB bracis-33655 1 117 healthcare healthcare NOUN bracis-33655 1 118 ai ai VERB bracis-33655 1 119 : : PUNCT bracis-33655 1 120 achieving achieve VERB bracis-33655 1 121 efficiency efficiency NOUN bracis-33655 1 122 and and CCONJ bracis-33655 1 123     SPACE bracis-33655 1 124 accuracy accuracy NOUN bracis-33655 1 125 in in ADP bracis-33655 1 126     SPACE bracis-33655 1 127 medical medical ADJ bracis-33655 1 128 applications application NOUN bracis-33655 1 129 with with ADP bracis-33655 1 130     SPACE bracis-33655 1 131 surrogate surrogate NOUN bracis-33655 1 132 - - PUNCT bracis-33655 1 133 based base VERB bracis-33655 1 134 multiobjective multiobjective ADJ bracis-33655 1 135 compression compression NOUN bracis-33655 1 136 of of ADP bracis-33655 1 137     SPACE bracis-33655 1 138 resnet50 resnet50 NOUN bracis-33655 1 139 cnns cnns PROPN bracis-33655 1 140 download download PROPN bracis-33655 1 141 book book PROPN bracis-33655 1 142 pdf pdf PROPN bracis-33655 1 143 download download NOUN bracis-33655 1 144 book book PROPN bracis-33655 1 145 epub epub PROPN bracis-33655 1 146 gabriel gabriel PROPN bracis-33655 1 147 bicalho bicalho PROPN bracis-33655 1 148 ferreira9 ferreira9 PROPN bracis-33655 1 149 , , PUNCT bracis-33655 1 150 pedro pedro PROPN bracis-33655 1 151 silva9 silva9 PROPN bracis-33655 1 152 & & CCONJ bracis-33655 1 153 rodrigo rodrigo PROPN bracis-33655 1 154 silva9 silva9 PROPN bracis-33655 1 155     SPACE bracis-33655 1 156 part part NOUN bracis-33655 1 157 of of ADP bracis-33655 1 158 the the DET bracis-33655 1 159 book book NOUN bracis-33655 1 160 series series NOUN bracis-33655 1 161 : : PUNCT bracis-33655 1 162 lecture lecture NOUN bracis-33655 1 163 notes note NOUN bracis-33655 1 164 in in ADP bracis-33655 1 165 computer computer NOUN bracis-33655 1 166 science science NOUN bracis-33655 1 167 ( ( PUNCT bracis-33655 1 168 ( ( PUNCT bracis-33655 1 169 lnai lnai ADJ bracis-33655 1 170 , , PUNCT bracis-33655 1 171 volume volume NOUN bracis-33655 1 172 15415 15415 NUM bracis-33655 1 173 ) ) PUNCT bracis-33655 1 174 ) ) PUNCT bracis-33655 1 175 included include VERB bracis-33655 1 176 in in ADP bracis-33655 1 177 the the DET bracis-33655 1 178 following follow VERB bracis-33655 1 179 conference conference NOUN bracis-33655 1 180 series series NOUN bracis-33655 1 181 : : PUNCT bracis-33655 1 182 brazilian brazilian ADJ bracis-33655 1 183 conference conference NOUN bracis-33655 1 184 on on ADP bracis-33655 1 185 intelligent intelligent ADJ bracis-33655 1 186 systems system NOUN bracis-33655 1 187 233 233 NUM bracis-33655 1 188 accesses access NOUN bracis-33655 1 189 1 1 NUM bracis-33655 1 190 citation citation NOUN bracis-33655 1 191 abstract abstract ADJ bracis-33655 1 192 machine machine NOUN bracis-33655 1 193 learning learning NOUN bracis-33655 1 194 , , PUNCT bracis-33655 1 195 particularly particularly ADV bracis-33655 1 196 convolutional convolutional ADJ bracis-33655 1 197 neural neural ADJ bracis-33655 1 198 networks network NOUN bracis-33655 1 199 ( ( PUNCT bracis-33655 1 200 cnns cnns PROPN bracis-33655 1 201 ) ) PUNCT bracis-33655 1 202 , , PUNCT bracis-33655 1 203 has have AUX bracis-33655 1 204 gained gain VERB bracis-33655 1 205 prominence prominence NOUN bracis-33655 1 206 in in ADP bracis-33655 1 207 healthcare healthcare PROPN bracis-33655 1 208 applications application NOUN bracis-33655 1 209 , , PUNCT bracis-33655 1 210 including include VERB bracis-33655 1 211 medical medical ADJ bracis-33655 1 212 diagnosis diagnosis NOUN bracis-33655 1 213 and and CCONJ bracis-33655 1 214 clinical clinical ADJ bracis-33655 1 215 support support NOUN bracis-33655 1 216 . . PUNCT bracis-33655 2 1 however however ADV bracis-33655 2 2 , , PUNCT bracis-33655 2 3 the the DET bracis-33655 2 4 increasing increase VERB bracis-33655 2 5 size size NOUN bracis-33655 2 6 of of ADP bracis-33655 2 7 cnns cnns ADJ bracis-33655 2 8 poses pose NOUN bracis-33655 2 9 challenges challenge NOUN bracis-33655 2 10 in in ADP bracis-33655 2 11 resource resource NOUN bracis-33655 2 12 - - PUNCT bracis-33655 2 13 constrained constrain VERB bracis-33655 2 14 medical medical ADJ bracis-33655 2 15 devices device NOUN bracis-33655 2 16 and and CCONJ bracis-33655 2 17 real real ADJ bracis-33655 2 18 - - PUNCT bracis-33655 2 19 time time NOUN bracis-33655 2 20 applications application NOUN bracis-33655 2 21 . . PUNCT bracis-33655 3 1 this this DET bracis-33655 3 2 paper paper NOUN bracis-33655 3 3 explores explore VERB bracis-33655 3 4 the the DET bracis-33655 3 5 effectiveness effectiveness NOUN bracis-33655 3 6 of of ADP bracis-33655 3 7 pruning prune VERB bracis-33655 3 8 and and CCONJ bracis-33655 3 9 quantization quantization NOUN bracis-33655 3 10 on on ADP bracis-33655 3 11 the the DET bracis-33655 3 12 resnet50 resnet50 NOUN bracis-33655 3 13 model model NOUN bracis-33655 3 14 within within ADP bracis-33655 3 15 the the DET bracis-33655 3 16 medmnist medmnist NOUN bracis-33655 3 17 dataset dataset NOUN bracis-33655 3 18 , , PUNCT bracis-33655 3 19 a a DET bracis-33655 3 20 valuable valuable ADJ bracis-33655 3 21 resource resource NOUN bracis-33655 3 22 for for ADP bracis-33655 3 23 medical medical ADJ bracis-33655 3 24 image image NOUN bracis-33655 3 25 classification classification NOUN bracis-33655 3 26 . . PUNCT bracis-33655 4 1 the the DET bracis-33655 4 2 study study NOUN bracis-33655 4 3 evaluates evaluate VERB bracis-33655 4 4 a a DET bracis-33655 4 5 surrogate surrogate NOUN bracis-33655 4 6 - - PUNCT bracis-33655 4 7 based base VERB bracis-33655 4 8 multiobjective multiobjective ADJ bracis-33655 4 9 compression compression NOUN bracis-33655 4 10 method method NOUN bracis-33655 4 11 on on ADP bracis-33655 4 12 three three NUM bracis-33655 4 13 medmnist medmnist ADJ bracis-33655 4 14 datasets dataset NOUN bracis-33655 4 15 : : PUNCT bracis-33655 4 16 retinamnist retinamnist VERB bracis-33655 4 17 for for ADP bracis-33655 4 18 diabetic diabetic ADJ bracis-33655 4 19 retinopathy retinopathy ADJ bracis-33655 4 20 grading grading NOUN bracis-33655 4 21 , , PUNCT bracis-33655 4 22 dermamnist dermamnist NOUN bracis-33655 4 23 for for ADP bracis-33655 4 24 disease disease NOUN bracis-33655 4 25 categorization categorization NOUN bracis-33655 4 26 , , PUNCT bracis-33655 4 27 and and CCONJ bracis-33655 4 28 bloodmnist bloodmnist NOUN bracis-33655 4 29 for for ADP bracis-33655 4 30 blood blood NOUN bracis-33655 4 31 cell cell NOUN bracis-33655 4 32 classification classification NOUN bracis-33655 4 33 . . PUNCT bracis-33655 5 1 results result NOUN bracis-33655 5 2 demonstrate demonstrate VERB bracis-33655 5 3 that that SCONJ bracis-33655 5 4 the the DET bracis-33655 5 5 proposed propose VERB bracis-33655 5 6 compression compression NOUN bracis-33655 5 7 method method NOUN bracis-33655 5 8 successfully successfully ADV bracis-33655 5 9 identifies identify VERB bracis-33655 5 10 less less ADV bracis-33655 5 11 computationally computationally ADV bracis-33655 5 12 intensive intensive ADJ bracis-33655 5 13 models model NOUN bracis-33655 5 14 while while SCONJ bracis-33655 5 15 maintaining maintain VERB bracis-33655 5 16 or or CCONJ bracis-33655 5 17 improving improve VERB bracis-33655 5 18 accuracy accuracy NOUN bracis-33655 5 19 across across ADP bracis-33655 5 20 all all DET bracis-33655 5 21 three three NUM bracis-33655 5 22 healthcare healthcare NOUN bracis-33655 5 23 - - PUNCT bracis-33655 5 24 related relate VERB bracis-33655 5 25 datasets dataset NOUN bracis-33655 5 26 . . PUNCT bracis-33655 6 1 a a DET bracis-33655 6 2 reduction reduction NOUN bracis-33655 6 3 of of ADP bracis-33655 6 4 about about ADV bracis-33655 6 5 50 50 NUM bracis-33655 6 6 % % NOUN bracis-33655 6 7 in in ADP bracis-33655 6 8 inference inference NOUN bracis-33655 6 9 time time NOUN bracis-33655 6 10 and and CCONJ bracis-33655 6 11 an an DET bracis-33655 6 12 increase increase NOUN bracis-33655 6 13 of of ADP bracis-33655 6 14 more more ADJ bracis-33655 6 15 than than ADP bracis-33655 6 16 1 1 NUM bracis-33655 6 17 % % NOUN bracis-33655 6 18 in in ADP bracis-33655 6 19 accuracy accuracy NOUN bracis-33655 6 20 were be AUX bracis-33655 6 21 observed observe VERB bracis-33655 6 22 . . PUNCT bracis-33655 7 1 these these DET bracis-33655 7 2 findings finding NOUN bracis-33655 7 3 emphasize emphasize VERB bracis-33655 7 4 the the DET bracis-33655 7 5 practicality practicality NOUN bracis-33655 7 6 of of ADP bracis-33655 7 7 compression compression NOUN bracis-33655 7 8 techniques technique NOUN bracis-33655 7 9 in in ADP bracis-33655 7 10 healthcare healthcare NOUN bracis-33655 7 11 applications application NOUN bracis-33655 7 12 , , PUNCT bracis-33655 7 13 particularly particularly ADV bracis-33655 7 14 for for ADP bracis-33655 7 15 resource resource NOUN bracis-33655 7 16 - - PUNCT bracis-33655 7 17 constrained constrain VERB bracis-33655 7 18 environments environment NOUN bracis-33655 7 19 and and CCONJ bracis-33655 7 20 real real ADJ bracis-33655 7 21 - - PUNCT bracis-33655 7 22 time time NOUN bracis-33655 7 23 decision decision NOUN bracis-33655 7 24 - - PUNCT bracis-33655 7 25 making make VERB bracis-33655 7 26 scenarios scenario NOUN bracis-33655 7 27 . . PUNCT bracis-33655 8 1 this this DET bracis-33655 8 2 research research NOUN bracis-33655 8 3 opens open VERB bracis-33655 8 4 avenues avenue NOUN bracis-33655 8 5 for for ADP bracis-33655 8 6 further further ADJ bracis-33655 8 7 validation validation NOUN bracis-33655 8 8 and and CCONJ bracis-33655 8 9 exploration exploration NOUN bracis-33655 8 10 in in ADP bracis-33655 8 11 other other ADJ bracis-33655 8 12 healthcare healthcare NOUN bracis-33655 8 13 - - PUNCT bracis-33655 8 14 related relate VERB bracis-33655 8 15 applications application NOUN bracis-33655 8 16 with with ADP bracis-33655 8 17 higher high ADJ bracis-33655 8 18 - - PUNCT bracis-33655 8 19 quality quality NOUN bracis-33655 8 20 neural neural ADJ bracis-33655 8 21 network network NOUN bracis-33655 8 22 models model NOUN bracis-33655 8 23 , , PUNCT bracis-33655 8 24 ultimately ultimately ADV bracis-33655 8 25 enhancing enhance VERB bracis-33655 8 26 the the DET bracis-33655 8 27 deployment deployment NOUN bracis-33655 8 28 of of ADP bracis-33655 8 29 machine machine NOUN bracis-33655 8 30 learning learning NOUN bracis-33655 8 31 in in ADP bracis-33655 8 32 the the DET bracis-33655 8 33 healthcare healthcare NOUN bracis-33655 8 34 domain domain NOUN bracis-33655 8 35 . . PUNCT bracis-33655 9 1 access access NOUN bracis-33655 9 2 provided provide VERB bracis-33655 9 3 by by ADP bracis-33655 9 4 university university PROPN bracis-33655 9 5 of of ADP bracis-33655 9 6 notre notre PROPN bracis-33655 9 7 dame dame PROPN bracis-33655 9 8 hesburgh hesburgh PROPN bracis-33655 9 9 library library PROPN bracis-33655 9 10 . . PUNCT bracis-33655 10 1 download download PROPN bracis-33655 10 2 conference conference NOUN bracis-33655 10 3 paper paper NOUN bracis-33655 10 4 pdf pdf NOUN bracis-33655 10 5 similar similar ADJ bracis-33655 10 6 content content NOUN bracis-33655 10 7 being be AUX bracis-33655 10 8 viewed view VERB bracis-33655 10 9 by by ADP bracis-33655 10 10 others other NOUN bracis-33655 10 11 medical medical ADJ bracis-33655 10 12 computer computer NOUN bracis-33655 10 13 vision vision NOUN bracis-33655 10 14 chapter chapter NOUN bracis-33655 10 15 © © PROPN bracis-33655 10 16 2025 2025 NUM bracis-33655 10 17 machine machine NOUN bracis-33655 10 18 learning learning NOUN bracis-33655 10 19 in in ADP bracis-33655 10 20 healthcare healthcare PROPN bracis-33655 10 21 analytics analytic NOUN bracis-33655 10 22 : : PUNCT bracis-33655 10 23 a a DET bracis-33655 10 24 state state NOUN bracis-33655 10 25 - - PUNCT bracis-33655 10 26 of of ADP bracis-33655 10 27 - - PUNCT bracis-33655 10 28 the the DET bracis-33655 10 29 - - PUNCT bracis-33655 10 30 art art NOUN bracis-33655 10 31 review review NOUN bracis-33655 10 32 article article NOUN bracis-33655 10 33 04 04 NUM bracis-33655 10 34 april april PROPN bracis-33655 10 35 2024 2024 NUM bracis-33655 10 36 prediction prediction NOUN bracis-33655 10 37 of of ADP bracis-33655 10 38 frequent frequent ADJ bracis-33655 10 39 out out ADP bracis-33655 10 40 - - PUNCT bracis-33655 10 41 of of ADP bracis-33655 10 42 - - PUNCT bracis-33655 10 43 hours hour NOUN bracis-33655 10 44 ’ ' PUNCT bracis-33655 10 45 medical medical ADJ bracis-33655 10 46 use use NOUN bracis-33655 10 47 chapter chapter NOUN bracis-33655 10 48 © © NOUN bracis-33655 10 49 2020 2020 NUM bracis-33655 10 50 1 1 NUM bracis-33655 10 51 introduction introduction NOUN bracis-33655 10 52 machine machine NOUN bracis-33655 10 53 learning learning NOUN bracis-33655 10 54 is be AUX bracis-33655 10 55 a a DET bracis-33655 10 56 field field NOUN bracis-33655 10 57 of of ADP bracis-33655 10 58 artificial artificial ADJ bracis-33655 10 59 intelligence intelligence NOUN bracis-33655 10 60 that that PRON bracis-33655 10 61 aims aim VERB bracis-33655 10 62 to to PART bracis-33655 10 63 create create VERB bracis-33655 10 64 computational computational ADJ bracis-33655 10 65 systems system NOUN bracis-33655 10 66 capable capable ADJ bracis-33655 10 67 of of ADP bracis-33655 10 68 acquiring acquire VERB bracis-33655 10 69 knowledge knowledge NOUN bracis-33655 10 70 through through ADP bracis-33655 10 71 accumulated accumulate VERB bracis-33655 10 72 experiences experience NOUN bracis-33655 10 73 and and CCONJ bracis-33655 10 74 making make VERB bracis-33655 10 75 automated automate VERB bracis-33655 10 76 decisions decision NOUN bracis-33655 10 77 [ [ X bracis-33655 10 78 15 15 NUM bracis-33655 10 79 ] ] PUNCT bracis-33655 10 80 . . PUNCT bracis-33655 11 1 among among ADP bracis-33655 11 2 the the DET bracis-33655 11 3 various various ADJ bracis-33655 11 4 applications application NOUN bracis-33655 11 5 of of ADP bracis-33655 11 6 machine machine NOUN bracis-33655 11 7 learning learning NOUN bracis-33655 11 8 , , PUNCT bracis-33655 11 9 its its PRON bracis-33655 11 10 relevance relevance NOUN bracis-33655 11 11 in in ADP bracis-33655 11 12 the the DET bracis-33655 11 13 healthcare healthcare NOUN bracis-33655 11 14 field field NOUN bracis-33655 11 15 stands stand VERB bracis-33655 11 16 out out ADP bracis-33655 11 17 , , PUNCT bracis-33655 11 18 being be AUX bracis-33655 11 19 employed employ VERB bracis-33655 11 20 in in ADP bracis-33655 11 21 medical medical ADJ bracis-33655 11 22 diagnosis diagnosis NOUN bracis-33655 11 23 , , PUNCT bracis-33655 11 24 disease disease NOUN bracis-33655 11 25 prediction prediction NOUN bracis-33655 11 26 , , PUNCT bracis-33655 11 27 and and CCONJ bracis-33655 11 28 clinical clinical ADJ bracis-33655 11 29 decision decision NOUN bracis-33655 11 30 support support NOUN bracis-33655 11 31 [ [ X bracis-33655 11 32 6 6 NUM bracis-33655 11 33 ] ] PUNCT bracis-33655 11 34 . . PUNCT bracis-33655 12 1 these these DET bracis-33655 12 2 systems system NOUN bracis-33655 12 3 aim aim VERB bracis-33655 12 4 to to PART bracis-33655 12 5 assist assist VERB bracis-33655 12 6 and and CCONJ bracis-33655 12 7 streamline streamline VERB bracis-33655 12 8 the the DET bracis-33655 12 9 work work NOUN bracis-33655 12 10 of of ADP bracis-33655 12 11 medical medical ADJ bracis-33655 12 12 professionals professional NOUN bracis-33655 12 13 . . PUNCT bracis-33655 13 1 in in ADP bracis-33655 13 2 this this DET bracis-33655 13 3 context context NOUN bracis-33655 13 4 , , PUNCT bracis-33655 13 5 in in ADP bracis-33655 13 6 2021 2021 NUM bracis-33655 13 7 , , PUNCT bracis-33655 13 8 medmnist medmnist PROPN bracis-33655 14 1 [ [ X bracis-33655 14 2 24 24 NUM bracis-33655 14 3 ] ] PUNCT bracis-33655 14 4 emerged emerge VERB bracis-33655 14 5 as as ADP bracis-33655 14 6 an an DET bracis-33655 14 7 extensive extensive ADJ bracis-33655 14 8 collection collection NOUN bracis-33655 14 9 of of ADP bracis-33655 14 10 biomedical biomedical ADJ bracis-33655 14 11 images image NOUN bracis-33655 14 12 developed develop VERB bracis-33655 14 13 to to ADP bracis-33655 14 14 fine fine ADJ bracis-33655 14 15 - - PUNCT bracis-33655 14 16 tune tune NOUN bracis-33655 14 17 and and CCONJ bracis-33655 14 18 test test NOUN bracis-33655 14 19 classification classification NOUN bracis-33655 14 20 models model NOUN bracis-33655 14 21 in in ADP bracis-33655 14 22 medical medical ADJ bracis-33655 14 23 applications application NOUN bracis-33655 14 24 . . PUNCT bracis-33655 15 1 the the DET bracis-33655 15 2 medmnist medmnist PROPN bracis-33655 15 3 dataset dataset NOUN bracis-33655 15 4 consists consist VERB bracis-33655 15 5 of of ADP bracis-33655 15 6 708,069 708,069 NUM bracis-33655 15 7 2d 2d NUM bracis-33655 15 8 images image NOUN bracis-33655 15 9 distributed distribute VERB bracis-33655 15 10 across across ADP bracis-33655 15 11 12 12 NUM bracis-33655 15 12 distinct distinct ADJ bracis-33655 15 13 datasets dataset NOUN bracis-33655 15 14 , , PUNCT bracis-33655 15 15 as as ADV bracis-33655 15 16 well well ADV bracis-33655 15 17 as as ADP bracis-33655 15 18 9,998 9,998 NUM bracis-33655 15 19 3d 3d NUM bracis-33655 15 20 images image NOUN bracis-33655 15 21 divided divide VERB bracis-33655 15 22 into into ADP bracis-33655 15 23 6 6 NUM bracis-33655 15 24 distinct distinct ADJ bracis-33655 15 25 sets set NOUN bracis-33655 15 26 . . PUNCT bracis-33655 16 1 all all DET bracis-33655 16 2 images image NOUN bracis-33655 16 3 are be AUX bracis-33655 16 4 standardized standardize VERB bracis-33655 16 5 to to ADP bracis-33655 16 6 a a DET bracis-33655 16 7 resolution resolution NOUN bracis-33655 16 8 of of ADP bracis-33655 16 9 28\(\,\times 28\(\,\times NUM bracis-33655 16 10 \,\)28 \,\)28 NOUN bracis-33655 16 11 pixels pixel NOUN bracis-33655 16 12 and and CCONJ bracis-33655 16 13 cover cover VERB bracis-33655 16 14 various various ADJ bracis-33655 16 15 medical medical ADJ bracis-33655 16 16 contexts contexts NOUN bracis-33655 16 17 , , PUNCT bracis-33655 16 18 including include VERB bracis-33655 16 19 binary binary ADJ bracis-33655 16 20 and and CCONJ bracis-33655 16 21 multiclass multiclass ADJ bracis-33655 16 22 classifications classification NOUN bracis-33655 16 23 . . PUNCT bracis-33655 17 1 the the DET bracis-33655 17 2 data data NOUN bracis-33655 17 3 is be AUX bracis-33655 17 4 pre pre ADJ bracis-33655 17 5 - - VERB bracis-33655 17 6 divided divided ADJ bracis-33655 17 7 into into ADP bracis-33655 17 8 training training NOUN bracis-33655 17 9 , , PUNCT bracis-33655 17 10 validation validation NOUN bracis-33655 17 11 , , PUNCT bracis-33655 17 12 and and CCONJ bracis-33655 17 13 test test NOUN bracis-33655 17 14 sets set NOUN bracis-33655 17 15 . . PUNCT bracis-33655 18 1 in in ADP bracis-33655 18 2 addition addition NOUN bracis-33655 18 3 to to ADP bracis-33655 18 4 creating create VERB bracis-33655 18 5 the the DET bracis-33655 18 6 dataset dataset NOUN bracis-33655 18 7 , , PUNCT bracis-33655 18 8 the the DET bracis-33655 18 9 authors author NOUN bracis-33655 18 10 benchmarked benchmarke VERB bracis-33655 18 11 different different ADJ bracis-33655 18 12 versions version NOUN bracis-33655 18 13 of of ADP bracis-33655 18 14 the the DET bracis-33655 18 15 resnet resnet NOUN bracis-33655 18 16 model model NOUN bracis-33655 18 17 [ [ X bracis-33655 18 18 8 8 NUM bracis-33655 18 19 ] ] X bracis-33655 18 20 ( ( PUNCT bracis-33655 18 21 resnet-18 resnet-18 PROPN bracis-33655 18 22 and and CCONJ bracis-33655 18 23 resnet-50 resnet-50 NUM bracis-33655 18 24 ) ) PUNCT bracis-33655 18 25 and and CCONJ bracis-33655 18 26 three three NUM bracis-33655 18 27 automated automate VERB bracis-33655 18 28 machine machine NOUN bracis-33655 18 29 learning learn VERB bracis-33655 18 30 frameworks framework NOUN bracis-33655 18 31 on on ADP bracis-33655 18 32 each each DET bracis-33655 18 33 dataset dataset NOUN bracis-33655 18 34 . . PUNCT bracis-33655 19 1 in in ADP bracis-33655 19 2 the the DET bracis-33655 19 3 realm realm NOUN bracis-33655 19 4 of of ADP bracis-33655 19 5 deep deep ADJ bracis-33655 19 6 learning learning NOUN bracis-33655 19 7 techniques technique NOUN bracis-33655 19 8 , , PUNCT bracis-33655 19 9 convolutional convolutional ADJ bracis-33655 19 10 neural neural ADJ bracis-33655 19 11 networks network NOUN bracis-33655 19 12 ( ( PUNCT bracis-33655 19 13 cnns cnns PROPN bracis-33655 19 14 ) ) PUNCT bracis-33655 19 15 , , PUNCT bracis-33655 19 16 such such ADJ bracis-33655 19 17 as as ADP bracis-33655 19 18 the the DET bracis-33655 19 19 resnets resnet NOUN bracis-33655 19 20 , , PUNCT bracis-33655 19 21 have have AUX bracis-33655 19 22 stood stand VERB bracis-33655 19 23 out out ADP bracis-33655 19 24 as as ADV bracis-33655 19 25 extremely extremely ADV bracis-33655 19 26 effective effective ADJ bracis-33655 19 27 in in ADP bracis-33655 19 28 several several ADJ bracis-33655 19 29 real real ADJ bracis-33655 19 30 - - PUNCT bracis-33655 19 31 world world NOUN bracis-33655 19 32 tasks task NOUN bracis-33655 19 33 involving involve VERB bracis-33655 19 34 processing process VERB bracis-33655 19 35 visual visual ADJ bracis-33655 19 36 data datum NOUN bracis-33655 19 37 , , PUNCT bracis-33655 19 38 such such ADJ bracis-33655 19 39 as as ADP bracis-33655 19 40 object object NOUN bracis-33655 19 41 detection detection NOUN bracis-33655 19 42 and and CCONJ bracis-33655 19 43 image image NOUN bracis-33655 19 44 and and CCONJ bracis-33655 19 45 video video NOUN bracis-33655 19 46 processing processing NOUN bracis-33655 19 47 [ [ X bracis-33655 19 48 17 17 NUM bracis-33655 19 49 ] ] PUNCT bracis-33655 19 50 . . PUNCT bracis-33655 20 1 although although SCONJ bracis-33655 20 2 recent recent ADJ bracis-33655 20 3 advances advance NOUN bracis-33655 20 4 in in ADP bracis-33655 20 5 these these DET bracis-33655 20 6 techniques technique NOUN bracis-33655 20 7 have have AUX bracis-33655 20 8 led lead VERB bracis-33655 20 9 to to ADP bracis-33655 20 10 an an DET bracis-33655 20 11 increase increase NOUN bracis-33655 20 12 in in ADP bracis-33655 20 13 the the DET bracis-33655 20 14 accuracy accuracy NOUN bracis-33655 20 15 of of ADP bracis-33655 20 16 cnns cnn NOUN bracis-33655 20 17 , , PUNCT bracis-33655 20 18 they they PRON bracis-33655 20 19 have have AUX bracis-33655 20 20 significantly significantly ADV bracis-33655 20 21 increased increase VERB bracis-33655 20 22 their their PRON bracis-33655 20 23 size size NOUN bracis-33655 20 24 and and CCONJ bracis-33655 20 25 inference inference NOUN bracis-33655 20 26 time time NOUN bracis-33655 20 27 [ [ X bracis-33655 20 28 14 14 NUM bracis-33655 20 29 ] ] PUNCT bracis-33655 20 30 . . PUNCT bracis-33655 21 1 therefore therefore ADV bracis-33655 21 2 , , PUNCT bracis-33655 21 3 the the DET bracis-33655 21 4 research research NOUN bracis-33655 21 5 area area NOUN bracis-33655 21 6 of of ADP bracis-33655 21 7 neural neural ADJ bracis-33655 21 8 network network NOUN bracis-33655 21 9 compression compression NOUN bracis-33655 21 10 techniques technique NOUN bracis-33655 21 11 is be AUX bracis-33655 21 12 gaining gain VERB bracis-33655 21 13 increasing increase VERB bracis-33655 21 14 prominence prominence NOUN bracis-33655 21 15 , , PUNCT bracis-33655 21 16 particularly particularly ADV bracis-33655 21 17 pruning prune VERB bracis-33655 21 18 and and CCONJ bracis-33655 21 19 quantization quantization NOUN bracis-33655 21 20 , , PUNCT bracis-33655 21 21 which which PRON bracis-33655 21 22 have have AUX bracis-33655 21 23 been be AUX bracis-33655 21 24 extensively extensively ADV bracis-33655 21 25 explored explore VERB bracis-33655 21 26 in in ADP bracis-33655 21 27 the the DET bracis-33655 21 28 literature literature NOUN bracis-33655 21 29 . . PUNCT bracis-33655 22 1 broadly broadly ADV bracis-33655 22 2 speaking speak VERB bracis-33655 22 3 , , PUNCT bracis-33655 22 4 in in ADP bracis-33655 22 5 pruning prune VERB bracis-33655 22 6 , , PUNCT bracis-33655 22 7 less less ADV bracis-33655 22 8 significant significant ADJ bracis-33655 22 9 neuron neuron NOUN bracis-33655 22 10 connections connection NOUN bracis-33655 22 11 are be AUX bracis-33655 22 12 removed remove VERB bracis-33655 22 13 from from ADP bracis-33655 22 14 the the DET bracis-33655 22 15 model model NOUN bracis-33655 22 16 . . PUNCT bracis-33655 23 1 in in ADP bracis-33655 23 2 quantization quantization NOUN bracis-33655 23 3 , , PUNCT bracis-33655 23 4 the the DET bracis-33655 23 5 precision precision NOUN bracis-33655 23 6 of of ADP bracis-33655 23 7 the the DET bracis-33655 23 8 model model NOUN bracis-33655 23 9 parameters parameter NOUN bracis-33655 23 10 is be AUX bracis-33655 23 11 reduced reduce VERB bracis-33655 23 12 . . PUNCT bracis-33655 24 1 in in ADP bracis-33655 24 2 [ [ X bracis-33655 24 3 14 14 NUM bracis-33655 24 4 ] ] PUNCT bracis-33655 24 5 , , PUNCT bracis-33655 24 6 it it PRON bracis-33655 24 7 has have AUX bracis-33655 24 8 been be AUX bracis-33655 24 9 shown show VERB bracis-33655 24 10 that that SCONJ bracis-33655 24 11 different different ADJ bracis-33655 24 12 types type NOUN bracis-33655 24 13 of of ADP bracis-33655 24 14 pruning prune VERB bracis-33655 24 15 present present ADJ bracis-33655 24 16 varying vary VERB bracis-33655 24 17 trade trade NOUN bracis-33655 24 18 - - PUNCT bracis-33655 24 19 offs off NOUN bracis-33655 24 20 in in ADP bracis-33655 24 21 terms term NOUN bracis-33655 24 22 of of ADP bracis-33655 24 23 compression compression NOUN bracis-33655 24 24 , , PUNCT bracis-33655 24 25 accuracy accuracy NOUN bracis-33655 24 26 , , PUNCT bracis-33655 24 27 and and CCONJ bracis-33655 24 28 speedup speedup NOUN bracis-33655 24 29 . . PUNCT bracis-33655 25 1 on on ADP bracis-33655 25 2 the the DET bracis-33655 25 3 other other ADJ bracis-33655 25 4 hand hand NOUN bracis-33655 25 5 , , PUNCT bracis-33655 25 6 quantization quantization NOUN bracis-33655 25 7 demonstrated demonstrate VERB bracis-33655 25 8 significant significant ADJ bracis-33655 25 9 improvement improvement NOUN bracis-33655 25 10 in in ADP bracis-33655 25 11 performance performance NOUN bracis-33655 25 12 and and CCONJ bracis-33655 25 13 reduced reduce VERB bracis-33655 25 14 storage storage NOUN bracis-33655 25 15 requirements requirement NOUN bracis-33655 25 16 . . PUNCT bracis-33655 26 1 compressing compress VERB bracis-33655 26 2 machine machine NOUN bracis-33655 26 3 learning learning NOUN bracis-33655 26 4 models model NOUN bracis-33655 26 5 for for ADP bracis-33655 26 6 medical medical ADJ bracis-33655 26 7 applications application NOUN bracis-33655 26 8 is be AUX bracis-33655 26 9 crucial crucial ADJ bracis-33655 26 10 for for ADP bracis-33655 26 11 several several ADJ bracis-33655 26 12 reasons reason NOUN bracis-33655 26 13 . . PUNCT bracis-33655 27 1 first first ADV bracis-33655 27 2 , , PUNCT bracis-33655 27 3 many many ADJ bracis-33655 27 4 medical medical ADJ bracis-33655 27 5 devices device NOUN bracis-33655 27 6 , , PUNCT bracis-33655 27 7 such such ADJ bracis-33655 27 8 as as ADP bracis-33655 27 9 portable portable ADJ bracis-33655 27 10 ultrasound ultrasound NOUN bracis-33655 27 11 machines machine NOUN bracis-33655 27 12 and and CCONJ bracis-33655 27 13 wearable wearable ADJ bracis-33655 27 14 health health NOUN bracis-33655 27 15 monitoring monitoring NOUN bracis-33655 27 16 devices device NOUN bracis-33655 27 17 , , PUNCT bracis-33655 27 18 operate operate VERB bracis-33655 27 19 with with ADP bracis-33655 27 20 limited limited ADJ bracis-33655 27 21 computational computational ADJ bracis-33655 27 22 resources resource NOUN bracis-33655 27 23 . . PUNCT bracis-33655 28 1 compressed compress VERB bracis-33655 28 2 models model NOUN bracis-33655 28 3 enable enable VERB bracis-33655 28 4 these these DET bracis-33655 28 5 devices device NOUN bracis-33655 28 6 to to PART bracis-33655 28 7 perform perform VERB bracis-33655 28 8 tasks task NOUN bracis-33655 28 9 with with ADP bracis-33655 28 10 reduced reduce VERB bracis-33655 28 11 memory memory NOUN bracis-33655 28 12 and and CCONJ bracis-33655 28 13 computational computational ADJ bracis-33655 28 14 power power NOUN bracis-33655 28 15 , , PUNCT bracis-33655 28 16 making make VERB bracis-33655 28 17 them they PRON bracis-33655 28 18 more more ADV bracis-33655 28 19 suitable suitable ADJ bracis-33655 28 20 for for ADP bracis-33655 28 21 resource resource NOUN bracis-33655 28 22 - - PUNCT bracis-33655 28 23 constrained constrain VERB bracis-33655 28 24 environments environment NOUN bracis-33655 28 25 . . PUNCT bracis-33655 29 1 additionally additionally ADV bracis-33655 29 2 , , PUNCT bracis-33655 29 3 in in ADP bracis-33655 29 4 medical medical ADJ bracis-33655 29 5 settings setting NOUN bracis-33655 29 6 , , PUNCT bracis-33655 29 7 particularly particularly ADV bracis-33655 29 8 during during ADP bracis-33655 29 9 real real ADJ bracis-33655 29 10 - - PUNCT bracis-33655 29 11 time time NOUN bracis-33655 29 12 applications application NOUN bracis-33655 29 13 like like ADP bracis-33655 29 14 diagnosis diagnosis NOUN bracis-33655 29 15 and and CCONJ bracis-33655 29 16 monitoring monitoring NOUN bracis-33655 29 17 , , PUNCT bracis-33655 29 18 the the DET bracis-33655 29 19 speed speed NOUN bracis-33655 29 20 of of ADP bracis-33655 29 21 inference inference NOUN bracis-33655 29 22 is be AUX bracis-33655 29 23 crucial crucial ADJ bracis-33655 29 24 . . PUNCT bracis-33655 30 1 compressed compress VERB bracis-33655 30 2 models model NOUN bracis-33655 30 3 facilitate facilitate VERB bracis-33655 30 4 faster fast ADJ bracis-33655 30 5 execution execution NOUN bracis-33655 30 6 , , PUNCT bracis-33655 30 7 thereby thereby ADV bracis-33655 30 8 decreasing decrease VERB bracis-33655 30 9 the the DET bracis-33655 30 10 time time NOUN bracis-33655 30 11 required require VERB bracis-33655 30 12 for for ADP bracis-33655 30 13 critical critical ADJ bracis-33655 30 14 decision decision NOUN bracis-33655 30 15 - - PUNCT bracis-33655 30 16 making making NOUN bracis-33655 30 17 . . PUNCT bracis-33655 31 1 also also ADV bracis-33655 31 2 , , PUNCT bracis-33655 31 3 compressed compressed ADJ bracis-33655 31 4 models model NOUN bracis-33655 31 5 typically typically ADV bracis-33655 31 6 consume consume VERB bracis-33655 31 7 less less ADJ bracis-33655 31 8 energy energy NOUN bracis-33655 31 9 during during ADP bracis-33655 31 10 inference inference NOUN bracis-33655 31 11 , , PUNCT bracis-33655 31 12 which which PRON bracis-33655 31 13 is be AUX bracis-33655 31 14 advantageous advantageous ADJ bracis-33655 31 15 for for ADP bracis-33655 31 16 battery battery NOUN bracis-33655 31 17 - - PUNCT bracis-33655 31 18 powered power VERB bracis-33655 31 19 medical medical ADJ bracis-33655 31 20 devices device NOUN bracis-33655 31 21 or or CCONJ bracis-33655 31 22 situations situation NOUN bracis-33655 31 23 where where SCONJ bracis-33655 31 24 power power NOUN bracis-33655 31 25 conservation conservation NOUN bracis-33655 31 26 is be AUX bracis-33655 31 27 important important ADJ bracis-33655 31 28 , , PUNCT bracis-33655 31 29 as as SCONJ bracis-33655 31 30 it it PRON bracis-33655 31 31 can can AUX bracis-33655 31 32 extend extend VERB bracis-33655 31 33 device device NOUN bracis-33655 31 34 runtime runtime NOUN bracis-33655 31 35 and and CCONJ bracis-33655 31 36 reduce reduce VERB bracis-33655 31 37 the the DET bracis-33655 31 38 need need NOUN bracis-33655 31 39 for for ADP bracis-33655 31 40 frequent frequent ADJ bracis-33655 31 41 recharging recharging NOUN bracis-33655 31 42 or or CCONJ bracis-33655 31 43 battery battery NOUN bracis-33655 31 44 replacement replacement NOUN bracis-33655 31 45 . . PUNCT bracis-33655 32 1 furthermore furthermore ADV bracis-33655 32 2 , , PUNCT bracis-33655 32 3 from from ADP bracis-33655 32 4 a a DET bracis-33655 32 5 patient patient NOUN bracis-33655 32 6 ’s ’s PART bracis-33655 32 7 perspective perspective NOUN bracis-33655 32 8 , , PUNCT bracis-33655 32 9 the the DET bracis-33655 32 10 wait wait VERB bracis-33655 32 11 time time NOUN bracis-33655 32 12 for for ADP bracis-33655 32 13 a a DET bracis-33655 32 14 diagnosis diagnosis NOUN bracis-33655 32 15 can can AUX bracis-33655 32 16 be be AUX bracis-33655 32 17 highly highly ADV bracis-33655 32 18 stressful stressful ADJ bracis-33655 32 19 . . PUNCT bracis-33655 33 1 therefore therefore ADV bracis-33655 33 2 , , PUNCT bracis-33655 33 3 even even ADV bracis-33655 33 4 a a DET bracis-33655 33 5 minor minor ADJ bracis-33655 33 6 reduction reduction NOUN bracis-33655 33 7 in in ADP bracis-33655 33 8 inference inference NOUN bracis-33655 33 9 time time NOUN bracis-33655 33 10 can can AUX bracis-33655 33 11 substantially substantially ADV bracis-33655 33 12 alleviate alleviate VERB bracis-33655 33 13 patient patient ADJ bracis-33655 33 14 anxiety anxiety NOUN bracis-33655 33 15 . . PUNCT bracis-33655 34 1 it it PRON bracis-33655 34 2 is be AUX bracis-33655 34 3 also also ADV bracis-33655 34 4 noteworthy noteworthy ADJ bracis-33655 34 5 that that SCONJ bracis-33655 34 6 minutes minute NOUN bracis-33655 34 7 saved save VERB bracis-33655 34 8 in in ADP bracis-33655 34 9 a a DET bracis-33655 34 10 system system NOUN bracis-33655 34 11 performing perform VERB bracis-33655 34 12 numerous numerous ADJ bracis-33655 34 13 inferences inference NOUN bracis-33655 34 14 can can AUX bracis-33655 34 15 translate translate VERB bracis-33655 34 16 to to ADP bracis-33655 34 17 substantial substantial ADJ bracis-33655 34 18 reductions reduction NOUN bracis-33655 34 19 in in ADP bracis-33655 34 20 patient patient ADJ bracis-33655 34 21 wait wait NOUN bracis-33655 34 22 times time NOUN bracis-33655 34 23 overall overall ADJ bracis-33655 34 24 . . PUNCT bracis-33655 35 1 when when SCONJ bracis-33655 35 2 applying apply VERB bracis-33655 35 3 pruning pruning NOUN bracis-33655 35 4 and and CCONJ bracis-33655 35 5 quantization quantization NOUN bracis-33655 35 6 techniques technique NOUN bracis-33655 35 7 , , PUNCT bracis-33655 35 8 several several ADJ bracis-33655 35 9 decisions decision NOUN bracis-33655 35 10 must must AUX bracis-33655 35 11 be be AUX bracis-33655 35 12 made make VERB bracis-33655 35 13 , , PUNCT bracis-33655 35 14 such such ADJ bracis-33655 35 15 as as ADP bracis-33655 35 16 determining determine VERB bracis-33655 35 17 the the DET bracis-33655 35 18 extent extent NOUN bracis-33655 35 19 of of ADP bracis-33655 35 20 connections connection NOUN bracis-33655 35 21 to to PART bracis-33655 35 22 prune prune NOUN bracis-33655 35 23 and and CCONJ bracis-33655 35 24 selecting select VERB bracis-33655 35 25 the the DET bracis-33655 35 26 layers layer NOUN bracis-33655 35 27 for for ADP bracis-33655 35 28 quantization quantization NOUN bracis-33655 35 29 . . PUNCT bracis-33655 36 1 previous previous ADJ bracis-33655 36 2 research research NOUN bracis-33655 36 3 [ [ X bracis-33655 36 4 2 2 NUM bracis-33655 36 5 , , PUNCT bracis-33655 36 6 5 5 NUM bracis-33655 36 7 , , PUNCT bracis-33655 36 8 9 9 NUM bracis-33655 36 9 , , PUNCT bracis-33655 36 10 10 10 NUM bracis-33655 36 11 , , PUNCT bracis-33655 36 12 22 22 NUM bracis-33655 36 13 , , PUNCT bracis-33655 36 14 23 23 NUM bracis-33655 36 15 ] ] PUNCT bracis-33655 36 16 has have AUX bracis-33655 36 17 shown show VERB bracis-33655 36 18 that that SCONJ bracis-33655 36 19 the the DET bracis-33655 36 20 compression compression NOUN bracis-33655 36 21 challenge challenge NOUN bracis-33655 36 22 is be AUX bracis-33655 36 23 essentially essentially ADV bracis-33655 36 24 a a DET bracis-33655 36 25 multi multi ADJ bracis-33655 36 26 - - ADJ bracis-33655 36 27 objective objective ADJ bracis-33655 36 28 optimization optimization NOUN bracis-33655 36 29 problem problem NOUN bracis-33655 36 30 , , PUNCT bracis-33655 36 31 requiring require VERB bracis-33655 36 32 the the DET bracis-33655 36 33 identification identification NOUN bracis-33655 36 34 of of ADP bracis-33655 36 35 optimal optimal ADJ bracis-33655 36 36 trade trade NOUN bracis-33655 36 37 - - PUNCT bracis-33655 36 38 offs off NOUN bracis-33655 36 39 between between ADP bracis-33655 36 40 the the DET bracis-33655 36 41 computational computational ADJ bracis-33655 36 42 efficiency efficiency NOUN bracis-33655 36 43 of of ADP bracis-33655 36 44 the the DET bracis-33655 36 45 model model NOUN bracis-33655 36 46 ( ( PUNCT bracis-33655 36 47 in in ADP bracis-33655 36 48 terms term NOUN bracis-33655 36 49 of of ADP bracis-33655 36 50 time time NOUN bracis-33655 36 51 and and CCONJ bracis-33655 36 52 memory memory NOUN bracis-33655 36 53 consumption consumption NOUN bracis-33655 36 54 ) ) PUNCT bracis-33655 36 55 and and CCONJ bracis-33655 36 56 its its PRON bracis-33655 36 57 accuracy accuracy NOUN bracis-33655 36 58 . . PUNCT bracis-33655 37 1 except except SCONJ bracis-33655 37 2 for for ADP bracis-33655 37 3 the the DET bracis-33655 37 4 approach approach NOUN bracis-33655 37 5 presented present VERB bracis-33655 37 6 in in ADP bracis-33655 37 7 [ [ X bracis-33655 37 8 9 9 NUM bracis-33655 37 9 ] ] PUNCT bracis-33655 37 10 , , PUNCT bracis-33655 37 11 which which PRON bracis-33655 37 12 uses use VERB bracis-33655 37 13 reinforcement reinforcement NOUN bracis-33655 37 14 learning learning NOUN bracis-33655 37 15 , , PUNCT bracis-33655 37 16 all all DET bracis-33655 37 17 other other ADJ bracis-33655 37 18 studies study NOUN bracis-33655 37 19 employ employ VERB bracis-33655 37 20 various various ADJ bracis-33655 37 21 types type NOUN bracis-33655 37 22 of of ADP bracis-33655 37 23 evolutionary evolutionary ADJ bracis-33655 37 24 algorithms algorithm NOUN bracis-33655 37 25 ( ( PUNCT bracis-33655 37 26 eas ea NOUN bracis-33655 37 27 ) ) PUNCT bracis-33655 37 28 as as ADP bracis-33655 37 29 optimization optimization NOUN bracis-33655 37 30 methods method NOUN bracis-33655 37 31 . . PUNCT bracis-33655 38 1 however however ADV bracis-33655 38 2 , , PUNCT bracis-33655 38 3 a a DET bracis-33655 38 4 significant significant ADJ bracis-33655 38 5 bottleneck bottleneck NOUN bracis-33655 38 6 in in ADP bracis-33655 38 7 this this DET bracis-33655 38 8 process process NOUN bracis-33655 38 9 is be AUX bracis-33655 38 10 the the DET bracis-33655 38 11 considerable considerable ADJ bracis-33655 38 12 number number NOUN bracis-33655 38 13 of of ADP bracis-33655 38 14 function function NOUN bracis-33655 38 15 evaluations evaluation NOUN bracis-33655 38 16 required require VERB bracis-33655 38 17 to to PART bracis-33655 38 18 find find VERB bracis-33655 38 19 satisfactory satisfactory ADJ bracis-33655 38 20 solutions solution NOUN bracis-33655 38 21 , , PUNCT bracis-33655 38 22 especially especially ADV bracis-33655 38 23 challenging challenge VERB bracis-33655 38 24 in in ADP bracis-33655 38 25 the the DET bracis-33655 38 26 compression compression NOUN bracis-33655 38 27 problem problem NOUN bracis-33655 38 28 since since SCONJ bracis-33655 38 29 the the DET bracis-33655 38 30 objective objective ADJ bracis-33655 38 31 function function NOUN bracis-33655 38 32 requires require VERB bracis-33655 38 33 evaluating evaluate VERB bracis-33655 38 34 the the DET bracis-33655 38 35 compressed compressed ADJ bracis-33655 38 36 model model NOUN bracis-33655 38 37 over over ADP bracis-33655 38 38 the the DET bracis-33655 38 39 entire entire ADJ bracis-33655 38 40 test test NOUN bracis-33655 38 41 set set VERB bracis-33655 38 42 . . PUNCT bracis-33655 39 1 the the DET bracis-33655 39 2 use use NOUN bracis-33655 39 3 of of ADP bracis-33655 39 4 evolutionary evolutionary ADJ bracis-33655 39 5 algorithms algorithm NOUN bracis-33655 39 6 for for ADP bracis-33655 39 7 problems problem NOUN bracis-33655 39 8 with with ADP bracis-33655 39 9 expensive expensive ADJ bracis-33655 39 10 function function NOUN bracis-33655 39 11 evaluations evaluation NOUN bracis-33655 39 12 is be AUX bracis-33655 39 13 a a DET bracis-33655 39 14 well well ADV bracis-33655 39 15 - - PUNCT bracis-33655 39 16 known know VERB bracis-33655 39 17 concern concern NOUN bracis-33655 39 18 [ [ X bracis-33655 39 19 4 4 NUM bracis-33655 39 20 ] ] PUNCT bracis-33655 39 21 . . PUNCT bracis-33655 40 1 a a DET bracis-33655 40 2 well well ADV bracis-33655 40 3 - - PUNCT bracis-33655 40 4 established establish VERB bracis-33655 40 5 technique technique NOUN bracis-33655 40 6 to to PART bracis-33655 40 7 address address VERB bracis-33655 40 8 this this DET bracis-33655 40 9 issue issue NOUN bracis-33655 40 10 is be AUX bracis-33655 40 11 the the DET bracis-33655 40 12 use use NOUN bracis-33655 40 13 of of ADP bracis-33655 40 14 surrogate surrogate ADJ bracis-33655 40 15 models model NOUN bracis-33655 40 16 , , PUNCT bracis-33655 40 17 also also ADV bracis-33655 40 18 called call VERB bracis-33655 40 19 meta meta NOUN bracis-33655 40 20 - - PUNCT bracis-33655 40 21 models model NOUN bracis-33655 40 22 [ [ X bracis-33655 40 23 19 19 NUM bracis-33655 40 24 , , PUNCT bracis-33655 40 25 20 20 NUM bracis-33655 40 26 ] ] PUNCT bracis-33655 40 27 . . PUNCT bracis-33655 41 1 the the DET bracis-33655 41 2 idea idea NOUN bracis-33655 41 3 is be AUX bracis-33655 41 4 to to PART bracis-33655 41 5 build build VERB bracis-33655 41 6 a a DET bracis-33655 41 7 computationally computationally ADV bracis-33655 41 8 inexpensive inexpensive ADJ bracis-33655 41 9 model model NOUN bracis-33655 41 10 to to PART bracis-33655 41 11 substitute substitute VERB bracis-33655 41 12 an an DET bracis-33655 41 13 expensive expensive ADJ bracis-33655 41 14 objective objective ADJ bracis-33655 41 15 and and CCONJ bracis-33655 41 16 constraint constraint NOUN bracis-33655 41 17 functions function NOUN bracis-33655 41 18 and and CCONJ bracis-33655 41 19 use use VERB bracis-33655 41 20 this this DET bracis-33655 41 21 cheaper cheap ADJ bracis-33655 41 22 model model NOUN bracis-33655 41 23 to to PART bracis-33655 41 24 guide guide VERB bracis-33655 41 25 the the DET bracis-33655 41 26 optimization optimization NOUN bracis-33655 41 27 process process NOUN bracis-33655 41 28 instead instead ADV bracis-33655 41 29 to to PART bracis-33655 41 30 evaluate evaluate VERB bracis-33655 41 31 the the DET bracis-33655 41 32 expensive expensive ADJ bracis-33655 41 33 functions function NOUN bracis-33655 41 34 over over ADP bracis-33655 41 35 the the DET bracis-33655 41 36 entire entire ADJ bracis-33655 41 37 test test NOUN bracis-33655 41 38 set set VERB bracis-33655 41 39 . . PUNCT bracis-33655 42 1 the the DET bracis-33655 42 2 primary primary ADJ bracis-33655 42 3 goal goal NOUN bracis-33655 42 4 of of ADP bracis-33655 42 5 this this DET bracis-33655 42 6 work work NOUN bracis-33655 42 7 is be AUX bracis-33655 42 8 to to PART bracis-33655 42 9 understand understand VERB bracis-33655 42 10 the the DET bracis-33655 42 11 impact impact NOUN bracis-33655 42 12 of of ADP bracis-33655 42 13 model model NOUN bracis-33655 42 14 compression compression NOUN bracis-33655 42 15 techniques technique NOUN bracis-33655 42 16 on on ADP bracis-33655 42 17 the the DET bracis-33655 42 18 performance performance NOUN bracis-33655 42 19 of of ADP bracis-33655 42 20 convolutional convolutional ADJ bracis-33655 42 21 neural neural ADJ bracis-33655 42 22 networks network NOUN bracis-33655 42 23 ( ( PUNCT bracis-33655 42 24 cnns cnns PROPN bracis-33655 42 25 ) ) PUNCT bracis-33655 42 26 in in ADP bracis-33655 42 27 health health NOUN bracis-33655 42 28 - - PUNCT bracis-33655 42 29 related relate VERB bracis-33655 42 30 applications application NOUN bracis-33655 42 31 . . PUNCT bracis-33655 43 1 specifically specifically ADV bracis-33655 43 2 , , PUNCT bracis-33655 43 3 we we PRON bracis-33655 43 4 employ employ VERB bracis-33655 43 5 a a DET bracis-33655 43 6 surrogate surrogate NOUN bracis-33655 43 7 - - PUNCT bracis-33655 43 8 based base VERB bracis-33655 43 9 multi multi ADJ bracis-33655 43 10 - - ADJ bracis-33655 43 11 objective objective ADJ bracis-33655 43 12 compression compression NOUN bracis-33655 43 13 methodology methodology NOUN bracis-33655 43 14 on on ADP bracis-33655 43 15 the the DET bracis-33655 43 16 resnet50 resnet50 NOUN bracis-33655 43 17 model model NOUN bracis-33655 43 18 , , PUNCT bracis-33655 43 19 which which PRON bracis-33655 43 20 has have AUX bracis-33655 43 21 already already ADV bracis-33655 43 22 been be AUX bracis-33655 43 23 extensively extensively ADV bracis-33655 43 24 testes testis NOUN bracis-33655 43 25 on on ADP bracis-33655 43 26 the the DET bracis-33655 43 27 medmnist medmnist NOUN bracis-33655 43 28 dataset dataset NOUN bracis-33655 43 29 in in ADP bracis-33655 43 30 [ [ X bracis-33655 43 31 24 24 NUM bracis-33655 43 32 ] ] PUNCT bracis-33655 43 33 . . PUNCT bracis-33655 44 1 this this DET bracis-33655 44 2 technique technique NOUN bracis-33655 44 3 is be AUX bracis-33655 44 4 evaluated evaluate VERB bracis-33655 44 5 on on ADP bracis-33655 44 6 three three NUM bracis-33655 44 7 medmnist medmnist ADJ bracis-33655 44 8 datasets dataset NOUN bracis-33655 44 9 : : PUNCT bracis-33655 44 10 retinamnist retinamnist VERB bracis-33655 44 11 for for ADP bracis-33655 44 12 grading grade VERB bracis-33655 44 13 diabetic diabetic ADJ bracis-33655 44 14 retinopathy retinopathy ADJ bracis-33655 44 15 severity severity NOUN bracis-33655 44 16 , , PUNCT bracis-33655 44 17 dermamnist dermamnist NOUN bracis-33655 44 18 for for ADP bracis-33655 44 19 categorizing categorize VERB bracis-33655 44 20 seven seven NUM bracis-33655 44 21 different different ADJ bracis-33655 44 22 diseases disease NOUN bracis-33655 44 23 , , PUNCT bracis-33655 44 24 and and CCONJ bracis-33655 44 25 bloodmnist bloodmnist VERB bracis-33655 44 26 for for ADP bracis-33655 44 27 classifying classify VERB bracis-33655 44 28 blood blood NOUN bracis-33655 44 29 cells cell NOUN bracis-33655 44 30 into into ADP bracis-33655 44 31 eight eight NUM bracis-33655 44 32 categories category NOUN bracis-33655 44 33 . . PUNCT bracis-33655 45 1 the the DET bracis-33655 45 2 results result NOUN bracis-33655 45 3 indicate indicate VERB bracis-33655 45 4 that that SCONJ bracis-33655 45 5 the the DET bracis-33655 45 6 proposed propose VERB bracis-33655 45 7 surrogate surrogate NOUN bracis-33655 45 8 - - PUNCT bracis-33655 45 9 based base VERB bracis-33655 45 10 multi multi ADJ bracis-33655 45 11 - - ADJ bracis-33655 45 12 objective objective ADJ bracis-33655 45 13 compression compression NOUN bracis-33655 45 14 method method NOUN bracis-33655 45 15 effectively effectively ADV bracis-33655 45 16 identifies identify VERB bracis-33655 45 17 less less ADV bracis-33655 45 18 computationally computationally ADV bracis-33655 45 19 intensive intensive ADJ bracis-33655 45 20 models model NOUN bracis-33655 45 21 while while SCONJ bracis-33655 45 22 maintaining maintain VERB bracis-33655 45 23 or or CCONJ bracis-33655 45 24 even even ADV bracis-33655 45 25 enhancing enhance VERB bracis-33655 45 26 accuracy accuracy NOUN bracis-33655 45 27 across across ADP bracis-33655 45 28 all all DET bracis-33655 45 29 three three NUM bracis-33655 45 30 datasets dataset NOUN bracis-33655 45 31 . . PUNCT bracis-33655 46 1 this this PRON bracis-33655 46 2 underscores underscore VERB bracis-33655 46 3 the the DET bracis-33655 46 4 practicality practicality NOUN bracis-33655 46 5 and and CCONJ bracis-33655 46 6 significance significance NOUN bracis-33655 46 7 of of ADP bracis-33655 46 8 employing employ VERB bracis-33655 46 9 compression compression NOUN bracis-33655 46 10 techniques technique NOUN bracis-33655 46 11 , , PUNCT bracis-33655 46 12 especially especially ADV bracis-33655 46 13 in in ADP bracis-33655 46 14 the the DET bracis-33655 46 15 healthcare healthcare NOUN bracis-33655 46 16 domain domain NOUN bracis-33655 46 17 . . PUNCT bracis-33655 47 1 extending extend VERB bracis-33655 47 2 this this DET bracis-33655 47 3 technique technique NOUN bracis-33655 47 4 to to ADP bracis-33655 47 5 other other ADJ bracis-33655 47 6 healthcare healthcare NOUN bracis-33655 47 7 - - PUNCT bracis-33655 47 8 related relate VERB bracis-33655 47 9 applications application NOUN bracis-33655 47 10 with with ADP bracis-33655 47 11 higher high ADJ bracis-33655 47 12 - - PUNCT bracis-33655 47 13 quality quality NOUN bracis-33655 47 14 neural neural ADJ bracis-33655 47 15 network network NOUN bracis-33655 47 16 models model NOUN bracis-33655 47 17 holds hold VERB bracis-33655 47 18 promising promise VERB bracis-33655 47 19 potential potential NOUN bracis-33655 47 20 for for ADP bracis-33655 47 21 further further ADJ bracis-33655 47 22 validation validation NOUN bracis-33655 47 23 and and CCONJ bracis-33655 47 24 exploration exploration NOUN bracis-33655 47 25 . . PUNCT bracis-33655 48 1 notably notably ADV bracis-33655 48 2 , , PUNCT bracis-33655 48 3 there there PRON bracis-33655 48 4 was be VERB bracis-33655 48 5 an an DET bracis-33655 48 6 average average ADJ bracis-33655 48 7 reduction reduction NOUN bracis-33655 48 8 of of ADP bracis-33655 48 9 50 50 NUM bracis-33655 48 10 % % NOUN bracis-33655 48 11 in in ADP bracis-33655 48 12 inference inference NOUN bracis-33655 48 13 time time NOUN bracis-33655 48 14 on on ADP bracis-33655 48 15 average average ADJ bracis-33655 48 16 and and CCONJ bracis-33655 48 17 an an DET bracis-33655 48 18 improvement improvement NOUN bracis-33655 48 19 of of ADP bracis-33655 48 20 over over ADP bracis-33655 48 21 1 1 NUM bracis-33655 48 22 % % NOUN bracis-33655 48 23 in in ADP bracis-33655 48 24 accuracy accuracy NOUN bracis-33655 48 25 . . PUNCT bracis-33655 49 1 2 2 NUM bracis-33655 49 2 artificial artificial ADJ bracis-33655 49 3 neural neural ADJ bracis-33655 49 4 network network NOUN bracis-33655 49 5 compression compression NOUN bracis-33655 49 6 as as ADP bracis-33655 49 7     SPACE bracis-33655 49 8 a a DET bracis-33655 49 9     SPACE bracis-33655 49 10 multi multi ADJ bracis-33655 49 11 - - ADJ bracis-33655 49 12 objective objective ADJ bracis-33655 49 13 optimization optimization NOUN bracis-33655 49 14 problem problem NOUN bracis-33655 49 15 deep deep ADJ bracis-33655 49 16 artificial artificial ADJ bracis-33655 49 17 neural neural ADJ bracis-33655 49 18 networks network NOUN bracis-33655 49 19 are be AUX bracis-33655 49 20 robust robust ADJ bracis-33655 49 21 , , PUNCT bracis-33655 49 22 complex complex ADJ bracis-33655 49 23 , , PUNCT bracis-33655 49 24 and and CCONJ bracis-33655 49 25 highly highly ADV bracis-33655 49 26 effective effective ADJ bracis-33655 49 27 structures structure NOUN bracis-33655 49 28 for for ADP bracis-33655 49 29 solving solve VERB bracis-33655 49 30 various various ADJ bracis-33655 49 31 types type NOUN bracis-33655 49 32 of of ADP bracis-33655 49 33 problems problem NOUN bracis-33655 49 34 . . PUNCT bracis-33655 50 1 however however ADV bracis-33655 50 2 , , PUNCT bracis-33655 50 3 their their PRON bracis-33655 50 4 high high ADJ bracis-33655 50 5 computational computational ADJ bracis-33655 50 6 cost cost NOUN bracis-33655 50 7 can can AUX bracis-33655 50 8 hinder hinder VERB bracis-33655 50 9 their their PRON bracis-33655 50 10 implementation implementation NOUN bracis-33655 50 11 on on ADP bracis-33655 50 12 different different ADJ bracis-33655 50 13 devices device NOUN bracis-33655 51 1 [ [ X bracis-33655 51 2 22 22 NUM bracis-33655 51 3 ] ] PUNCT bracis-33655 51 4 . . PUNCT bracis-33655 52 1 in in ADP bracis-33655 52 2 this this DET bracis-33655 52 3 section section NOUN bracis-33655 52 4 , , PUNCT bracis-33655 52 5 we we PRON bracis-33655 52 6 provide provide VERB bracis-33655 52 7 a a DET bracis-33655 52 8 brief brief ADJ bracis-33655 52 9 overview overview NOUN bracis-33655 52 10 of of ADP bracis-33655 52 11 two two NUM bracis-33655 52 12 compression compression NOUN bracis-33655 52 13 techniques technique NOUN bracis-33655 52 14 , , PUNCT bracis-33655 52 15 pruning prune VERB bracis-33655 52 16 and and CCONJ bracis-33655 52 17 quantization quantization NOUN bracis-33655 52 18 , , PUNCT bracis-33655 52 19 including include VERB bracis-33655 52 20 the the DET bracis-33655 52 21 relevant relevant ADJ bracis-33655 52 22 parameters parameter NOUN bracis-33655 52 23 that that PRON bracis-33655 52 24 directly directly ADV bracis-33655 52 25 influence influence VERB bracis-33655 52 26 the the DET bracis-33655 52 27 final final ADJ bracis-33655 52 28 performance performance NOUN bracis-33655 52 29 and and CCONJ bracis-33655 52 30 quality quality NOUN bracis-33655 52 31 of of ADP bracis-33655 52 32 the the DET bracis-33655 52 33 compressed compressed ADJ bracis-33655 52 34 model model NOUN bracis-33655 52 35 . . PUNCT bracis-33655 53 1 2.1 2.1 NUM bracis-33655 53 2 prunning prunning NOUN bracis-33655 53 3 and and CCONJ bracis-33655 53 4     SPACE bracis-33655 53 5 quantization quantization NOUN bracis-33655 53 6 pruning prune VERB bracis-33655 53 7 , , PUNCT bracis-33655 53 8 within within ADP bracis-33655 53 9 the the DET bracis-33655 53 10 context context NOUN bracis-33655 53 11 of of ADP bracis-33655 53 12 neural neural ADJ bracis-33655 53 13 networks network NOUN bracis-33655 53 14 , , PUNCT bracis-33655 53 15 can can AUX bracis-33655 53 16 be be AUX bracis-33655 53 17 defined define VERB bracis-33655 53 18 as as ADP bracis-33655 53 19 a a DET bracis-33655 53 20 compression compression NOUN bracis-33655 53 21 technique technique NOUN bracis-33655 53 22 . . PUNCT bracis-33655 54 1 it it PRON bracis-33655 54 2 involves involve VERB bracis-33655 54 3 the the DET bracis-33655 54 4 selective selective ADJ bracis-33655 54 5 removal removal NOUN bracis-33655 54 6 of of ADP bracis-33655 54 7 connections connection NOUN bracis-33655 54 8 or or CCONJ bracis-33655 54 9 neurons neuron NOUN bracis-33655 54 10 with with ADP bracis-33655 54 11 low low ADJ bracis-33655 54 12 importance importance NOUN bracis-33655 54 13 scores score NOUN bracis-33655 54 14 while while SCONJ bracis-33655 54 15 preserving preserve VERB bracis-33655 54 16 the the DET bracis-33655 54 17 network network NOUN bracis-33655 54 18 ’s ’s PART bracis-33655 54 19 accuracy accuracy NOUN bracis-33655 54 20 , , PUNCT bracis-33655 54 21 as as SCONJ bracis-33655 54 22 discussed discuss VERB bracis-33655 54 23 in in ADP bracis-33655 54 24 previous previous ADJ bracis-33655 54 25 works work NOUN bracis-33655 54 26 [ [ X bracis-33655 54 27 14 14 NUM bracis-33655 54 28 , , PUNCT bracis-33655 54 29 21 21 NUM bracis-33655 54 30 ] ] PUNCT bracis-33655 54 31 . . PUNCT bracis-33655 55 1 these these DET bracis-33655 55 2 importance importance NOUN bracis-33655 55 3 scores score NOUN bracis-33655 55 4 can can AUX bracis-33655 55 5 be be AUX bracis-33655 55 6 determined determine VERB bracis-33655 55 7 based base VERB bracis-33655 55 8 on on ADP bracis-33655 55 9 various various ADJ bracis-33655 55 10 criteria criterion NOUN bracis-33655 55 11 , , PUNCT bracis-33655 55 12 including include VERB bracis-33655 55 13 weight weight NOUN bracis-33655 55 14 magnitude magnitude NOUN bracis-33655 55 15 , , PUNCT bracis-33655 55 16 sensitivity sensitivity NOUN bracis-33655 55 17 , , PUNCT bracis-33655 55 18 or or CCONJ bracis-33655 55 19 activation activation NOUN bracis-33655 55 20 level level NOUN bracis-33655 55 21 , , PUNCT bracis-33655 55 22 as as SCONJ bracis-33655 55 23 outlined outline VERB bracis-33655 55 24 in in ADP bracis-33655 55 25 [ [ X bracis-33655 55 26 21 21 NUM bracis-33655 55 27 ] ] PUNCT bracis-33655 55 28 . . PUNCT bracis-33655 56 1 the the DET bracis-33655 56 2 pruning prune VERB bracis-33655 56 3 process process NOUN bracis-33655 56 4 typically typically ADV bracis-33655 56 5 consists consist VERB bracis-33655 56 6 of of ADP bracis-33655 56 7 three three NUM bracis-33655 56 8 key key ADJ bracis-33655 56 9 steps step NOUN bracis-33655 56 10 : : PUNCT bracis-33655 56 11 ( ( PUNCT bracis-33655 56 12 1 1 X bracis-33655 56 13 ) ) PUNCT bracis-33655 56 14 assessing assess VERB bracis-33655 56 15 the the DET bracis-33655 56 16 importance importance NOUN bracis-33655 56 17 scores score NOUN bracis-33655 56 18 of of ADP bracis-33655 56 19 each each DET bracis-33655 56 20 connection connection NOUN bracis-33655 56 21 or or CCONJ bracis-33655 56 22 neuron neuron NOUN bracis-33655 56 23 , , PUNCT bracis-33655 56 24 ( ( PUNCT bracis-33655 56 25 2 2 X bracis-33655 56 26 ) ) PUNCT bracis-33655 56 27 eliminating eliminate VERB bracis-33655 56 28 the the DET bracis-33655 56 29 connections connection NOUN bracis-33655 56 30 or or CCONJ bracis-33655 56 31 neurons neuron NOUN bracis-33655 56 32 with with ADP bracis-33655 56 33 the the DET bracis-33655 56 34 lowest low ADJ bracis-33655 56 35 scores score NOUN bracis-33655 56 36 , , PUNCT bracis-33655 56 37 and and CCONJ bracis-33655 56 38 ( ( PUNCT bracis-33655 56 39 3 3 X bracis-33655 56 40 ) ) PUNCT bracis-33655 56 41 fine fine ADV bracis-33655 56 42 - - PUNCT bracis-33655 56 43 tuning tune VERB bracis-33655 56 44 the the DET bracis-33655 56 45 remaining remain VERB bracis-33655 56 46 network network NOUN bracis-33655 56 47 to to PART bracis-33655 56 48 restore restore VERB bracis-33655 56 49 its its PRON bracis-33655 56 50 accuracy accuracy NOUN bracis-33655 56 51 . . PUNCT bracis-33655 57 1 for for ADP bracis-33655 57 2 achieving achieve VERB bracis-33655 57 3 higher high ADJ bracis-33655 57 4 compression compression NOUN bracis-33655 57 5 rates rate NOUN bracis-33655 57 6 , , PUNCT bracis-33655 57 7 pruning prune VERB bracis-33655 57 8 can can AUX bracis-33655 57 9 be be AUX bracis-33655 57 10 applied apply VERB bracis-33655 57 11 iteratively iteratively ADV bracis-33655 57 12 , , PUNCT bracis-33655 57 13 and and CCONJ bracis-33655 57 14 it it PRON bracis-33655 57 15 can can AUX bracis-33655 57 16 also also ADV bracis-33655 57 17 be be AUX bracis-33655 57 18 combined combine VERB bracis-33655 57 19 with with ADP bracis-33655 57 20 other other ADJ bracis-33655 57 21 compression compression NOUN bracis-33655 57 22 techniques technique NOUN bracis-33655 57 23 , , PUNCT bracis-33655 57 24 such such ADJ bracis-33655 57 25 as as ADP bracis-33655 57 26 quantization quantization NOUN bracis-33655 57 27 , , PUNCT bracis-33655 57 28 to to PART bracis-33655 57 29 further far ADV bracis-33655 57 30 reduce reduce VERB bracis-33655 57 31 the the DET bracis-33655 57 32 network network NOUN bracis-33655 57 33 ’s ’s PART bracis-33655 57 34 size size NOUN bracis-33655 57 35 and and CCONJ bracis-33655 57 36 complexity complexity NOUN bracis-33655 57 37 . . PUNCT bracis-33655 58 1 quantization quantization NOUN bracis-33655 58 2 , , PUNCT bracis-33655 58 3 as as SCONJ bracis-33655 58 4 applied apply VERB bracis-33655 58 5 to to ADP bracis-33655 58 6 an an DET bracis-33655 58 7 artificial artificial ADJ bracis-33655 58 8 neural neural ADJ bracis-33655 58 9 network network NOUN bracis-33655 58 10 ( ( PUNCT bracis-33655 58 11 ann ann PROPN bracis-33655 58 12 ) ) PUNCT bracis-33655 58 13 , , PUNCT bracis-33655 58 14 serves serve VERB bracis-33655 58 15 as as ADP bracis-33655 58 16 a a DET bracis-33655 58 17 model model NOUN bracis-33655 58 18 compression compression NOUN bracis-33655 58 19 technique technique NOUN bracis-33655 58 20 aimed aim VERB bracis-33655 58 21 at at ADP bracis-33655 58 22 diminishing diminish VERB bracis-33655 58 23 the the DET bracis-33655 58 24 number number NOUN bracis-33655 58 25 of of ADP bracis-33655 58 26 bits bit NOUN bracis-33655 58 27 required require VERB bracis-33655 58 28 to to PART bracis-33655 58 29 represent represent VERB bracis-33655 58 30 each each PRON bracis-33655 58 31 of of ADP bracis-33655 58 32 the the DET bracis-33655 58 33 ann ann PROPN bracis-33655 58 34 ’s ’s PART bracis-33655 58 35 parameters parameter NOUN bracis-33655 58 36 [ [ X bracis-33655 58 37 7 7 NUM bracis-33655 58 38 ] ] PUNCT bracis-33655 58 39 . . PUNCT bracis-33655 59 1 typically typically ADV bracis-33655 59 2 , , PUNCT bracis-33655 59 3 ann ann PROPN bracis-33655 59 4 parameters parameter NOUN bracis-33655 59 5 are be AUX bracis-33655 59 6 represented represent VERB bracis-33655 59 7 using use VERB bracis-33655 59 8 32 32 NUM bracis-33655 59 9 - - PUNCT bracis-33655 59 10 bit bit NOUN bracis-33655 59 11 floating float VERB bracis-33655 59 12 - - PUNCT bracis-33655 59 13 point point NOUN bracis-33655 59 14 numbers number NOUN bracis-33655 59 15 , , PUNCT bracis-33655 59 16 thereby thereby ADV bracis-33655 59 17 inflating inflate VERB bracis-33655 59 18 both both DET bracis-33655 59 19 storage storage NOUN bracis-33655 59 20 requirements requirement NOUN bracis-33655 59 21 and and CCONJ bracis-33655 59 22 computational computational ADJ bracis-33655 59 23 intricacies intricacy NOUN bracis-33655 59 24 . . PUNCT bracis-33655 60 1 lowering lower VERB bracis-33655 60 2 the the DET bracis-33655 60 3 precision precision NOUN bracis-33655 60 4 of of ADP bracis-33655 60 5 these these DET bracis-33655 60 6 parameters parameter NOUN bracis-33655 60 7 not not PART bracis-33655 60 8 only only ADV bracis-33655 60 9 accelerates accelerate VERB bracis-33655 60 10 model model NOUN bracis-33655 60 11 performance performance NOUN bracis-33655 60 12 and and CCONJ bracis-33655 60 13 curtails curtail VERB bracis-33655 60 14 storage storage NOUN bracis-33655 60 15 expenses expense NOUN bracis-33655 60 16 but but CCONJ bracis-33655 60 17 also also ADV bracis-33655 60 18 retains retain VERB bracis-33655 60 19 adequate adequate ADJ bracis-33655 60 20 information information NOUN bracis-33655 60 21 for for ADP bracis-33655 60 22 effective effective ADJ bracis-33655 60 23 model model NOUN bracis-33655 60 24 inference inference NOUN bracis-33655 60 25 , , PUNCT bracis-33655 60 26 all all PRON bracis-33655 60 27 while while SCONJ bracis-33655 60 28 upholding uphold VERB bracis-33655 60 29 accuracy accuracy NOUN bracis-33655 60 30 [ [ X bracis-33655 60 31 22 22 NUM bracis-33655 60 32 ] ] PUNCT bracis-33655 60 33 . . PUNCT bracis-33655 61 1 2.2 2.2 NUM bracis-33655 61 2 compression compression NOUN bracis-33655 61 3 design design NOUN bracis-33655 61 4 variables variable VERB bracis-33655 61 5 the the DET bracis-33655 61 6 implementation implementation NOUN bracis-33655 61 7 of of ADP bracis-33655 61 8 these these DET bracis-33655 61 9 compression compression NOUN bracis-33655 61 10 techniques technique NOUN bracis-33655 61 11 requires require VERB bracis-33655 61 12 the the DET bracis-33655 61 13 specification specification NOUN bracis-33655 61 14 of of ADP bracis-33655 61 15 certain certain ADJ bracis-33655 61 16 parameters parameter NOUN bracis-33655 61 17 that that PRON bracis-33655 61 18 may may AUX bracis-33655 61 19 vary vary VERB bracis-33655 61 20 based base VERB bracis-33655 61 21 on on ADP bracis-33655 61 22 the the DET bracis-33655 61 23 chosen choose VERB bracis-33655 61 24 approach approach NOUN bracis-33655 61 25 . . PUNCT bracis-33655 62 1 when when SCONJ bracis-33655 62 2 using use VERB bracis-33655 62 3 pruning pruning NOUN bracis-33655 62 4 , , PUNCT bracis-33655 62 5 one one PRON bracis-33655 62 6 must must AUX bracis-33655 62 7 define define VERB bracis-33655 62 8 whether whether SCONJ bracis-33655 62 9 it it PRON bracis-33655 62 10 will will AUX bracis-33655 62 11 apply apply VERB bracis-33655 62 12 to to ADP bracis-33655 62 13 only only ADV bracis-33655 62 14 convolutional convolutional ADJ bracis-33655 62 15 layers layer NOUN bracis-33655 62 16 , , PUNCT bracis-33655 62 17 only only ADV bracis-33655 62 18 linear linear ADJ bracis-33655 62 19 layers layer NOUN bracis-33655 62 20 , , PUNCT bracis-33655 62 21 or or CCONJ bracis-33655 62 22 both both PRON bracis-33655 62 23 . . PUNCT bracis-33655 63 1 once once SCONJ bracis-33655 63 2 the the DET bracis-33655 63 3 type type NOUN bracis-33655 63 4 of of ADP bracis-33655 63 5 layer layer NOUN bracis-33655 63 6 is be AUX bracis-33655 63 7 selected select VERB bracis-33655 63 8 , , PUNCT bracis-33655 63 9 one one PRON bracis-33655 63 10 must must AUX bracis-33655 63 11 specify specify VERB bracis-33655 63 12 which which DET bracis-33655 63 13 layers layer NOUN bracis-33655 63 14 to to PART bracis-33655 63 15 prune prune VERB bracis-33655 63 16 and and CCONJ bracis-33655 63 17 the the DET bracis-33655 63 18 pruning prune VERB bracis-33655 63 19 intensity intensity NOUN bracis-33655 63 20 , , PUNCT bracis-33655 63 21 which which PRON bracis-33655 63 22 is be AUX bracis-33655 63 23 the the DET bracis-33655 63 24 proportion proportion NOUN bracis-33655 63 25 of of ADP bracis-33655 63 26 weights weight NOUN bracis-33655 63 27 and and CCONJ bracis-33655 63 28 biases bias NOUN bracis-33655 63 29 that that PRON bracis-33655 63 30 will will AUX bracis-33655 63 31 be be AUX bracis-33655 63 32 pruned prune VERB bracis-33655 63 33 in in ADP bracis-33655 63 34 a a DET bracis-33655 63 35 layer layer NOUN bracis-33655 63 36 . . PUNCT bracis-33655 64 1 additionally additionally ADV bracis-33655 64 2 , , PUNCT bracis-33655 64 3 quantization quantization NOUN bracis-33655 64 4 can can AUX bracis-33655 64 5 be be AUX bracis-33655 64 6 applied apply VERB bracis-33655 64 7 to to ADP bracis-33655 64 8 the the DET bracis-33655 64 9 previously previously ADV bracis-33655 64 10 pruned prune VERB bracis-33655 64 11 structures structure NOUN bracis-33655 64 12 . . PUNCT bracis-33655 65 1 therefore therefore ADV bracis-33655 65 2 , , PUNCT bracis-33655 65 3 seven seven NUM bracis-33655 65 4 design design NOUN bracis-33655 65 5 variables variable NOUN bracis-33655 65 6 have have AUX bracis-33655 65 7 been be AUX bracis-33655 65 8 defined define VERB bracis-33655 65 9 to to PART bracis-33655 65 10 optimize optimize VERB bracis-33655 65 11 the the DET bracis-33655 65 12 compression compression NOUN bracis-33655 65 13 process process NOUN bracis-33655 65 14 and and CCONJ bracis-33655 65 15 achieve achieve VERB bracis-33655 65 16 the the DET bracis-33655 65 17 most most ADV bracis-33655 65 18 suitable suitable ADJ bracis-33655 65 19 resulting result VERB bracis-33655 65 20 model model NOUN bracis-33655 65 21 . . PUNCT bracis-33655 66 1 below below ADV bracis-33655 66 2 , , PUNCT bracis-33655 66 3 the the DET bracis-33655 66 4 variables variable NOUN bracis-33655 66 5 and and CCONJ bracis-33655 66 6 their their PRON bracis-33655 66 7 respective respective ADJ bracis-33655 66 8 domains domain NOUN bracis-33655 66 9 are be AUX bracis-33655 66 10 outlined outline VERB bracis-33655 66 11 : : PUNCT bracis-33655 66 12 \(x_1\ \(x_1\ PROPN bracis-33655 66 13 ) ) PUNCT bracis-33655 66 14 ( ( PUNCT bracis-33655 66 15 linear linear ADJ bracis-33655 66 16 layer layer NOUN bracis-33655 66 17 pruning pruning NOUN bracis-33655 66 18 ): ): PUNCT bracis-33655 66 19 \(x_1\ \(x_1\ PROPN bracis-33655 66 20 ) ) PUNCT bracis-33655 66 21 \(\in \(\in VERB bracis-33655 66 22 \ \ NOUN bracis-33655 66 23 ) ) PUNCT bracis-33655 66 24 { { PUNCT bracis-33655 66 25 0 0 NUM bracis-33655 66 26 ( ( PUNCT bracis-33655 66 27 no no DET bracis-33655 66 28 pruning pruning NOUN bracis-33655 66 29 in in ADP bracis-33655 66 30 the the DET bracis-33655 66 31 linear linear ADJ bracis-33655 66 32 layers layer NOUN bracis-33655 66 33 ) ) PUNCT bracis-33655 66 34 , , PUNCT bracis-33655 66 35 1 1 NUM bracis-33655 66 36 ( ( PUNCT bracis-33655 66 37 prune prune NOUN bracis-33655 66 38 all all DET bracis-33655 66 39 linear linear ADJ bracis-33655 66 40 layers layer NOUN bracis-33655 66 41 ) ) PUNCT bracis-33655 66 42 , , PUNCT bracis-33655 66 43 2 2 NUM bracis-33655 66 44 ( ( PUNCT bracis-33655 66 45 prune prune NOUN bracis-33655 66 46 a a DET bracis-33655 66 47 random random ADJ bracis-33655 66 48 set set NOUN bracis-33655 66 49 of of ADP bracis-33655 66 50 linear linear ADJ bracis-33655 66 51 layers layer NOUN bracis-33655 66 52 ) ) PUNCT bracis-33655 66 53 } } PUNCT bracis-33655 66 54 \(x_2\ \(x_2\ PROPN bracis-33655 66 55 ) ) PUNCT bracis-33655 66 56 ( ( PUNCT bracis-33655 66 57 convolutional convolutional ADJ bracis-33655 66 58 layer layer NOUN bracis-33655 66 59 pruning pruning NOUN bracis-33655 66 60 ): ): PUNCT bracis-33655 66 61 \(x_2\ \(x_2\ PROPN bracis-33655 66 62 ) ) PUNCT bracis-33655 66 63 \(\in \(\in VERB bracis-33655 66 64 \ \ NOUN bracis-33655 66 65 ) ) PUNCT bracis-33655 66 66 { { PUNCT bracis-33655 66 67 0 0 NUM bracis-33655 66 68 ( ( PUNCT bracis-33655 66 69 no no DET bracis-33655 66 70 pruning pruning NOUN bracis-33655 66 71 in in ADP bracis-33655 66 72 the the DET bracis-33655 66 73 convolutional convolutional ADJ bracis-33655 66 74 layers layer NOUN bracis-33655 66 75 ) ) PUNCT bracis-33655 66 76 , , PUNCT bracis-33655 66 77 1 1 NUM bracis-33655 66 78 ( ( PUNCT bracis-33655 66 79 prune prune NOUN bracis-33655 66 80 all all DET bracis-33655 66 81 convolutional convolutional ADJ bracis-33655 66 82 layers layer NOUN bracis-33655 66 83 ) ) PUNCT bracis-33655 66 84 , , PUNCT bracis-33655 66 85 2 2 NUM bracis-33655 66 86 ( ( PUNCT bracis-33655 66 87 prune prune NOUN bracis-33655 66 88 a a DET bracis-33655 66 89 random random ADJ bracis-33655 66 90 set set NOUN bracis-33655 66 91 of of ADP bracis-33655 66 92 convolutional convolutional ADJ bracis-33655 66 93 layers layer NOUN bracis-33655 66 94 ) ) PUNCT bracis-33655 66 95 } } PUNCT bracis-33655 66 96 \(x_3\ \(x_3\ NOUN bracis-33655 66 97 ) ) PUNCT bracis-33655 66 98 ( ( PUNCT bracis-33655 66 99 pruning prune VERB bracis-33655 66 100 intensity intensity NOUN bracis-33655 66 101 for for ADP bracis-33655 66 102 the the DET bracis-33655 66 103 linear linear ADJ bracis-33655 66 104 layer layer NOUN bracis-33655 66 105 ( ( PUNCT bracis-33655 66 106 % % INTJ bracis-33655 66 107 ) ) PUNCT bracis-33655 66 108 ): ): PUNCT bracis-33655 66 109 \(0\%