{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T07:07:39Z","timestamp":1774595259847,"version":"3.50.1"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFA0700802"],"award-info":[{"award-number":["2017YFA0700802"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61822603"],"award-info":[{"award-number":["61822603"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1813218"],"award-info":[{"award-number":["U1813218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1713214"],"award-info":[{"award-number":["U1713214"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672306"],"award-info":[{"award-number":["61672306"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Academy of Artificial Intelligence","award":["BAAI2020ZJ0202"],"award-info":[{"award-number":["BAAI2020ZJ0202"]}]},{"DOI":"10.13039\/501100004147","name":"Tsinghua University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012271","name":"Shenzhen Fundamental Research and Discipline Layout project","doi-asserted-by":"publisher","award":["JCYJ20170412170602564"],"award-info":[{"award-number":["JCYJ20170412170602564"]}],"id":[{"id":"10.13039\/501100012271","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004147","name":"Tsinghua University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021,10,1]]},"DOI":"10.1109\/tpami.2020.2988262","type":"journal-article","created":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T19:58:28Z","timestamp":1587412708000},"page":"3432-3445","source":"Crossref","is-referenced-by-count":20,"title":["Learning Channel-Wise Interactions for Binary Convolutional Neural Networks"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9225-8495","authenticated-orcid":false,"given":"Ziwei","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6121-5529","authenticated-orcid":false,"given":"Jiwen","family":"Lu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7701-234X","authenticated-orcid":false,"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref71","first-page":"1","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref70","first-page":"1","article-title":"Trained ternary quantization","author":"zhu","year":"0"},{"key":"ref39","first-page":"3290","article-title":"Bayesian compression for deep learning","author":"louizos","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_44"},{"key":"ref33","first-page":"1","article-title":"Pruning filters for efficient convnets","author":"li","year":"0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref31","first-page":"3675","article-title":"Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation","author":"kulkarni","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref30","article-title":"Learning multiple layers of features from tiny images","volume":"1","author":"krizhevsky","year":"2009"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00280"},{"key":"ref36","first-page":"344","article-title":"Towards accurate binary convolutional neural network","author":"lin","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref34","first-page":"2181","article-title":"Runtime neural pruning","author":"lin","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00066"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref61","first-page":"1","article-title":"Improving generative adversarial networks with denoising feature matching","author":"warde-farley","year":"0"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00059"},{"key":"ref28","first-page":"4107","article-title":"Binarized neural networks","author":"hubara","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.554"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.neucom.2015.02.096","article-title":"Building feature space of extreme learning machine with sparse denoising stacked-autoencoder","volume":"174","author":"huang","year":"2016","journal-title":"Neurocomputing"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.15"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.148"},{"key":"ref29","first-page":"1","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $<$< 0.5 mb model size","author":"iandola","year":"2016"},{"key":"ref67","first-page":"1","article-title":"Deep reinforcement learning for visual object tracking in videos","author":"zhang","year":"2017"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_23"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2502579"},{"key":"ref2","first-page":"431","article-title":"Adversarial network compression","author":"belagiannis","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref1","first-page":"1","article-title":"N2N learning: Network to network compression via policy gradient reinforcement learning","author":"ashok","year":"0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"key":"ref22","first-page":"1","article-title":"Loss-aware binarization of deep networks","author":"hou","year":"0"},{"key":"ref21","first-page":"597","article-title":"Online tracking by learning discriminative saliency map with convolutional neural network","author":"hong","year":"2015","journal-title":"Proc 32nd Int Conf Int Conf Mach"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref23","first-page":"1","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.21"},{"key":"ref25","article-title":"Multi-task learning deep neural networks for speech feature denoising","author":"huang","year":"2015","journal-title":"Proc Annu Int Symp Comput Architecture"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00443"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref57","first-page":"3540","article-title":"FeUdal networks for hierarchical reinforcement learning","author":"vezhnevets","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref56","first-page":"1","article-title":"Soft weight-sharing for neural network compression","author":"ullrich","year":"0"},{"key":"ref55","first-page":"1553","article-title":"A deep hierarchical approach to lifelong learning in minecraft","author":"tessler","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref54","first-page":"556","article-title":"Intra-option learning about temporally abstract actions","volume":"98","author":"sutton","year":"1998","journal-title":"Proc 15th Int Conf Mach Learn"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.43"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref10","first-page":"1269","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","author":"denton","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2700390"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2500222"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2536638"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00452"},{"key":"ref14","first-page":"1","article-title":"Stochastic neural networks for hierarchical reinforcement learning","author":"florensa","year":"0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1924"},{"key":"ref16","first-page":"1","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"ref3","first-page":"459","article-title":"Neural optimizer search with reinforcement learning","author":"bello","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.574"},{"key":"ref5","first-page":"1","article-title":"Back to simplicity: How to train accurate BNNs from scratch?","author":"bethge","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref7","first-page":"3123","article-title":"BinaryConnect: Training deep neural networks with binary weights during propagations","author":"courbariaux","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00648"},{"key":"ref9","first-page":"2148","article-title":"Predicting parameters in deep learning","author":"denil","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.363"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00726"},{"key":"ref47","first-page":"5113","article-title":"Collaborative channel pruning for deep networks","author":"peng","year":"2019","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref42","first-page":"1","article-title":"Apprentice: Using knowledge distillation techniques to improve low-precision network accuracy","author":"mishra","year":"0"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref44","first-page":"3303","article-title":"Data-efficient hierarchical reinforcement learning","author":"nachum","year":"2018","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9527405\/09072484.pdf?arnumber=9072484","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:25Z","timestamp":1652194165000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9072484\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":71,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.2988262","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}