{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:33:55Z","timestamp":1773246835522,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"SERB under the MATRICS grant","award":["MTR\/2021\/000645"],"award-info":[{"award-number":["MTR\/2021\/000645"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,12]]},"DOI":"10.1145\/3564121.3564137","type":"proceedings-article","created":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T19:59:41Z","timestamp":1684267181000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Unsupervised Early Exit in DNNs with Multiple Exits"],"prefix":"10.1145","author":[{"given":"Hari Narayan","family":"N U","sequence":"first","affiliation":[{"name":"MLiONS Lab, IEOR, IIT Bombay, IN"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manjesh Kumar","family":"Hanawal","sequence":"additional","affiliation":[{"name":"MLiONS Lab, IEOR, IIT Bombay, IN"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Avinash","family":"Bhardwaj","sequence":"additional","affiliation":[{"name":"Mechanical Engineering, IIT Bombay, IN"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Nabiha Asghar. 2016. Yelp Dataset Challenge: Review Rating Prediction. CoRR abs\/1605.05362(2016). http:\/\/arxiv.org\/abs\/1605.05362  Nabiha Asghar. 2016. Yelp Dataset Challenge: Review Rating Prediction. CoRR abs\/1605.05362(2016). http:\/\/arxiv.org\/abs\/1605.05362"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013689704352"},{"key":"e_1_3_2_1_3_1","unstructured":"Ankur Bapna Naveen Arivazhagan and Orhan Firat. 2020. Controlling computation versus quality for neural sequence models. arXiv preprint arXiv:2002.07106(2020).  Ankur Bapna Naveen Arivazhagan and Orhan Firat. 2020. Controlling computation versus quality for neural sequence models. arXiv preprint arXiv:2002.07106(2020)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/moor.2014.0663"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718538"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.ngt-1.3"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411973"},{"key":"e_1_3_2_1_8_1","volume-title":"In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","volume":"1","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of deep bidirectional transformers for language understanding . In In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 . 4171\u2013 4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1. 4171\u2013 4186."},{"key":"e_1_3_2_1_9_1","volume-title":"Depth-Adaptive Transformer. In In Proc. of ICLR.","author":"Elbayad Maha","year":"2020","unstructured":"Maha Elbayad , Jiatao Gu , Edouard Grave , and Michael Auli . 2020 . Depth-Adaptive Transformer. In In Proc. of ICLR. Maha Elbayad, Jiatao Gu, Edouard Grave, and Michael Auli. 2020. Depth-Adaptive Transformer. In In Proc. of ICLR."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/SEC50012.2020.00014"},{"key":"e_1_3_2_1_11_1","unstructured":"Manjesh Hanawal Csaba Szepesvari and Venkatesh Saligrama. 2017. Unsupervised sequential sensor acquisition. In Artificial Intelligence and Statistics. PMLR 803\u2013811.  Manjesh Hanawal Csaba Szepesvari and Venkatesh Saligrama. 2017. Unsupervised sequential sensor acquisition. In Artificial Intelligence and Statistics. PMLR 803\u2013811."},{"key":"e_1_3_2_1_12_1","volume-title":"In Proceedings of the 6th International Conference on Learning Representations.","author":"Huang Gao","year":"2018","unstructured":"J Gao Huang , Danlu Chen , Tianhong Li , Felix Wu , Laurens van\u00a0der Maaten , and Kilian Weinberger . 2018 . Multi-scale dense networks for resource efficient image classification . In In Proceedings of the 6th International Conference on Learning Representations. JGao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van\u00a0der Maaten, and Kilian Weinberger. 2018. Multi-scale dense networks for resource efficient image classification. In In Proceedings of the 6th International Conference on Learning Representations."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482335"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid51090.2021.00011"},{"key":"e_1_3_2_1_15_1","volume-title":"International conference on machine learning. PMLR, 3301\u20133310","author":"Kaya Yigitcan","year":"2019","unstructured":"Yigitcan Kaya , Sanghyun Hong , and Tudor Dumitras . 2019 . Shallow-deep networks: Understanding and mitigating network overthinking . In International conference on machine learning. PMLR, 3301\u20133310 . Yigitcan Kaya, Sanghyun Hong, and Tudor Dumitras. 2019. Shallow-deep networks: Understanding and mitigating network overthinking. In International conference on machine learning. PMLR, 3301\u20133310."},{"key":"e_1_3_2_1_16_1","volume-title":"Low Cost Early Exit Decision Unit Design for CNN Accelerator. In IEEE Int. SoC Design Conf.127\u2013128","author":"Kim Geonho","year":"2020","unstructured":"Geonho Kim and Jongsun Park . 2020 . Low Cost Early Exit Decision Unit Design for CNN Accelerator. In IEEE Int. SoC Design Conf.127\u2013128 . Geonho Kim and Jongsun Park. 2020. Low Cost Early Exit Decision Unit Design for CNN Accelerator. In IEEE Int. SoC Design Conf.127\u2013128."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419194"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946140"},{"key":"e_1_3_2_1_19_1","unstructured":"Xiangyang Liu Tianxiang Sun Junliang He Lingling Wu Xinyu Zhang Hao Jiang Zhao Cao Xuanjing Huang and Xipeng Qiu. 2021. Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. (2021). https:\/\/arxiv.org\/abs\/2110.07038  Xiangyang Liu Tianxiang Sun Junliang He Lingling Wu Xinyu Zhang Hao Jiang Zhao Cao Xuanjing Huang and Xipeng Qiu. 2021. Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. (2021). https:\/\/arxiv.org\/abs\/2110.07038"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/2002472.2002491"},{"key":"e_1_3_2_1_21_1","volume-title":"IEEE Int. Conf. on Communications (ICC). 1\u20136.","author":"Pacheco G.","unstructured":"Roberto\u00a0 G. Pacheco , Rodrigo\u00a0 S. Couto , and O. Simeone . 2021. Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks . In IEEE Int. Conf. on Communications (ICC). 1\u20136. Roberto\u00a0G. Pacheco, Rodrigo\u00a0S. Couto, and O. Simeone. 2021. Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks. In IEEE Int. Conf. on Communications (ICC). 1\u20136."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685469"},{"key":"e_1_3_2_1_23_1","volume-title":"Why Should We Add Early Exits to Neural Networks?Cognitive Computation 12, 5 (jun","author":"Scardapane Simone","year":"2020","unstructured":"Simone Scardapane , Michele Scarpiniti , Enzo Baccarelli , and Aurelio Uncini . 2020. Why Should We Add Early Exits to Neural Networks?Cognitive Computation 12, 5 (jun 2020 ), 954\u2013966. https:\/\/doi.org\/10.1007\/s12559-020-09734-4 10.1007\/s12559-020-09734-4 Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, and Aurelio Uncini. 2020. Why Should We Add Early Exits to Neural Networks?Cognitive Computation 12, 5 (jun 2020), 954\u2013966. https:\/\/doi.org\/10.1007\/s12559-020-09734-4"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 1631\u20131642","author":"Socher Richard","year":"2013","unstructured":"Richard Socher , Alex Perelygin , Jean Wu , Jason Chuang , Christopher\u00a0 D. Manning , Andrew Ng , and Christopher Potts . 2013 . Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank . In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 1631\u20131642 . Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher\u00a0D. Manning, Andrew Ng, and Christopher Potts. 2013. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 1631\u20131642."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. PMLR, 3168\u20133176","author":"Verma Arun","year":"2019","unstructured":"Arun Verma , Manjesh Hanawal , Csaba Szepesvari , and Venkatesh Saligrama . 2019 . Online Algorithm for Unsupervised Sensor Selection . In Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. PMLR, 3168\u20133176 . Arun Verma, Manjesh Hanawal, Csaba Szepesvari, and Venkatesh Saligrama. 2019. Online Algorithm for Unsupervised Sensor Selection. In Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. PMLR, 3168\u20133176."},{"key":"e_1_3_2_1_27_1","volume-title":"DynExit: A Dynamic Early-Exit Strategy for Deep Residual Networks. In IEEE Int. Workshop on Signal Processing Systems (SiPS). 178\u2013183","author":"Wang Meiqi","year":"2019","unstructured":"Meiqi Wang , Jianqiao Mo , Jun Lin , Zhongfeng Wang , and Li Du . 2019 . DynExit: A Dynamic Early-Exit Strategy for Deep Residual Networks. In IEEE Int. Workshop on Signal Processing Systems (SiPS). 178\u2013183 . Meiqi Wang, Jianqiao Mo, Jun Lin, Zhongfeng Wang, and Li Du. 2019. DynExit: A Dynamic Early-Exit Strategy for Deep Residual Networks. In IEEE Int. Workshop on Signal Processing Systems (SiPS). 178\u2013183."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3345768.3355917"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.204"}],"event":{"name":"AIMLSystems 2022: The Second International Conference on AI-ML Systems","location":"Bangalore India","acronym":"AIMLSystems 2022"},"container-title":["Proceedings of the Second International Conference on AI-ML Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3564121.3564137","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3564121.3564137","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:10:33Z","timestamp":1750295433000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3564121.3564137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,12]]},"references-count":29,"alternative-id":["10.1145\/3564121.3564137","10.1145\/3564121"],"URL":"https:\/\/doi.org\/10.1145\/3564121.3564137","relation":{},"subject":[],"published":{"date-parts":[[2022,10,12]]},"assertion":[{"value":"2023-05-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}