{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T19:05:44Z","timestamp":1791486344723,"version":"4.3.4"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSF","award":["CNS-1815619"],"award-info":[{"award-number":["CNS-1815619"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411973","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:04Z","timestamp":1603085464000},"page":"235-244","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":47,"title":["EPNet: Learning to Exit with Flexible Multi-Branch Network"],"prefix":"10.1145","author":[{"given":"Xin","family":"Dai","sequence":"first","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangnan","family":"Kong","sequence":"additional","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian","family":"Guo","sequence":"additional","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Proc. 3rd Int. Conf. Learning Representations(ICLR'15)","author":"Ba Jimmy","year":"2015","unstructured":"Jimmy Ba , Volodymyr Mnih , and Koray Kavukcuoglu . 2015 . Multiple object recognition with visual attention . In Proc. 3rd Int. Conf. Learning Representations(ICLR'15) . Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu. 2015. Multiple object recognition with visual attention. In Proc. 3rd Int. Conf. Learning Representations(ICLR'15)."},{"key":"e_1_3_2_2_2_1","volume-title":"Proc. 4th Int. Conf. Learning Representations (ICLR'16)","author":"Bengio Emmanuel","year":"2015","unstructured":"Emmanuel Bengio , Pierre-Luc Bacon , Joelle Pineau , and Doina Precup . 2015 . Conditional computation in neural networks for faster models . In Proc. 4th Int. Conf. Learning Representations (ICLR'16) Workshop. Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau, and Doina Precup. 2015. Conditional computation in neural networks for faster models. In Proc. 4th Int. Conf. Learning Representations (ICLR'16) Workshop."},{"key":"e_1_3_2_2_3_1","volume-title":"Proc. 4th Int. Conf. Learning Representations(ICLR'16)","author":"Chen Tianqi","year":"2016","unstructured":"Tianqi Chen , Ian Goodfellow , and Jonathon Shlens . 2016 . Net2net: Accelerating learning via knowledge transfer . In Proc. 4th Int. Conf. Learning Representations(ICLR'16) . Tianqi Chen, Ian Goodfellow, and Jonathon Shlens. 2016. Net2net: Accelerating learning via knowledge transfer. In Proc. 4th Int. Conf. Learning Representations(ICLR'16)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.194"},{"key":"e_1_3_2_2_5_1","unstructured":"Song Han Jeff Pool John Tran and William Dally. 2015. Learning both weights and connections for efficient neural network. InAdvances in Neural Information Processing Systems 28 (NeurIPS'15). 1135--1143.  Song Han Jeff Pool John Tran and William Dally. 2015. Learning both weights and connections for efficient neural network. InAdvances in Neural Information Processing Systems 28 (NeurIPS'15). 1135--1143."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330974"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_9_1","unstructured":"Geoffrey Hinton Oriol Vinyals and Jeff Dean. 2015. Distilling the knowledge in a neural network. In Advances in Neural Information Processing Systems 28(NeurIPS'15)Workshop.  Geoffrey Hinton Oriol Vinyals and Jeff Dean. 2015. Distilling the knowledge in a neural network. In Advances in Neural Information Processing Systems 28(NeurIPS'15)Workshop."},{"key":"e_1_3_2_2_10_1","volume-title":"Proc. 6th Int. Conf. Learning Representations (ICLR'18)","author":"Huang Gao","unstructured":"Gao Huang , Danlu Chen , Tianhong Li , Felix Wu , Laurens van der Maaten, and Kilian Weinberger. 2018. Multi-Scale Dense Networks for Resource Efficient Image Classification . In Proc. 6th Int. Conf. Learning Representations (ICLR'18) . Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, and Kilian Weinberger. 2018. Multi-Scale Dense Networks for Resource Efficient Image Classification. In Proc. 6th Int. Conf. Learning Representations (ICLR'18)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_2_2_12_1","unstructured":"Forrest N Iandola Song Han Matthew W Moskewicz Khalid Ashraf William J Dally and Kurt Keutzer. 2016. SqueezeNet: Alex Net-level accuracy with 50xfewer parameters and <0.5 MB model size. arXiv preprint arXiv:1602.07360(2016).  Forrest N Iandola Song Han Matthew W Moskewicz Khalid Ashraf William J Dally and Kurt Keutzer. 2016. SqueezeNet: Alex Net-level accuracy with 50xfewer parameters and <0.5 MB model size. arXiv preprint arXiv:1602.07360(2016)."},{"key":"e_1_3_2_2_13_1","volume-title":"Proc. 32nd Int.Conf. Machine Learning (ICML'15)","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift . In Proc. 32nd Int.Conf. Machine Learning (ICML'15) . 448--456. Sergey Ioffe and Christian Szegedy. 2015. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In Proc. 32nd Int.Conf. Machine Learning (ICML'15). 448--456."},{"key":"e_1_3_2_2_14_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. ImageNet classification with deep convolutional neural networks. InAdvances in Neural Information Processing Systems 25 (NeurIPS'12). 1097--1105.  Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. ImageNet classification with deep convolutional neural networks. InAdvances in Neural Information Processing Systems 25 (NeurIPS'12). 1097--1105."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.280"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00198"},{"key":"e_1_3_2_2_17_1","unstructured":"Volodymyr Mnih Nicolas Heess Alex Graves etal 2014. Recurrent models of visual attention. In Advances in Neural Information Processing Systems 27(NeurIPS'14). 2204--2212.  Volodymyr Mnih Nicolas Heess Alex Graves et al. 2014. Recurrent models of visual attention. In Advances in Neural Information Processing Systems 27(NeurIPS'14). 2204--2212."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.355"},{"key":"e_1_3_2_2_19_1","volume-title":"Proc. 4th Int. Conf. Learning Representations (ICLR'16)","author":"Tai Cheng","year":"2016","unstructured":"Cheng Tai , Tong Xiao , Yi Zhang , Xiaogang Wang , 2016 . Convolutional neural networks with low-rank regularization . In Proc. 4th Int. Conf. Learning Representations (ICLR'16) . Cheng Tai, Tong Xiao, Yi Zhang, Xiaogang Wang, et al. 2016. Convolutional neural networks with low-rank regularization. In Proc. 4th Int. Conf. Learning Representations (ICLR'16)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_1"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_25"},{"key":"e_1_3_2_2_23_1","unstructured":"Ronald J Williams. 199"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411973","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411973","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:23Z","timestamp":1750197683000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411973"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":24,"alternative-id":["10.1145\/3340531.3411973","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411973","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}