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Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 ( 2013 ). Yoshua Bengio, Nicholas L\u00e9onard, and Aaron Courville. 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 (2013)."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings, Part XXIII. Springer, 309\u2013325","author":"Bulat Adrian","year":"2020","unstructured":"Adrian Bulat , Brais Martinez , and Georgios Tzimiropoulos . 2020 . Bats: Binary architecture search. In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020 , Proceedings, Part XXIII. Springer, 309\u2013325 . Adrian Bulat, Brais Martinez, and Georgios Tzimiropoulos. 2020. Bats: Binary architecture search. In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXIII. 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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)."},{"key":"e_1_3_2_1_24_1","unstructured":"Emerson\u00a0S. Fang. 1989. A Josephson integrated circuit simulator (JSIM) for superconductive electronics application.  Emerson\u00a0S. Fang. 1989. 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Cryogenic Electronics And Quantum Information Processing. In 2021 IEEE International Roadmap for Devices and Systems Outbriefs. IEEE, 1\u201393."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2013.2244634"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD51958.2021.9643456"},{"key":"e_1_3_2_1_36_1","volume-title":"International conference on machine learning. PMLR, 448\u2013456","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch normalization: Accelerating deep network training by reducing internal covariate shift . In International conference on machine learning. PMLR, 448\u2013456 . Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International conference on machine learning. PMLR, 448\u2013456."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00018"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2021.3089987"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.23919\/VLSICircuits52068.2021.9492362"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287624.3287718"},{"key":"e_1_3_2_1_41_1","volume-title":"2015 International SoC Design Conference (ISOCC). IEEE, 123\u2013124","author":"Kim Kyounghoon","year":"2015","unstructured":"Kyounghoon Kim , Jongeun Lee , and Kiyoung Choi . 2015 . Approximate de-randomizer for stochastic circuits . In 2015 International SoC Design Conference (ISOCC). IEEE, 123\u2013124 . Kyounghoon Kim, Jongeun Lee, and Kiyoung Choi. 2015. Approximate de-randomizer for stochastic circuits. In 2015 International SoC Design Conference (ISOCC). 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IEEE journal of solid-state circuits 56, 4 (2020), 1082\u20131092."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11713"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.23919\/DATE51398.2021.9474259"},{"key":"e_1_3_2_1_45_1","volume-title":"TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. arXiv preprint arXiv:2005.01206","author":"Li Weitao","year":"2020","unstructured":"Weitao Li , Pengfei Xu , Yang Zhao , Haitong Li , Yuan Xie , and Yingyan Lin . 2020 . TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. arXiv preprint arXiv:2005.01206 (2020). Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, and Yingyan Lin. 2020. TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. arXiv preprint arXiv:2005.01206 (2020)."},{"key":"e_1_3_2_1_46_1","volume-title":"Rotated binary neural network. Advances in neural information processing systems 33","author":"Lin Mingbao","year":"2020","unstructured":"Mingbao Lin , Rongrong Ji , Zihan Xu , Baochang Zhang , Yan Wang , Yongjian Wu , Feiyue Huang , and Chia-Wen Lin . 2020. Rotated binary neural network. Advances in neural information processing systems 33 ( 2020 ), 7474\u20137485. Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, and Chia-Wen Lin. 2020. Rotated binary neural network. Advances in neural information processing systems 33 (2020), 7474\u20137485."},{"key":"e_1_3_2_1_47_1","volume-title":"Towards accurate binary convolutional neural network. Advances in neural information processing systems 30","author":"Lin Xiaofan","year":"2017","unstructured":"Xiaofan Lin , Cong Zhao , and Wei Pan . 2017. Towards accurate binary convolutional neural network. Advances in neural information processing systems 30 ( 2017 ). Xiaofan Lin, Cong Zhao, and Wei Pan. 2017. Towards accurate binary convolutional neural network. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_9"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_44"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.1985.1063734"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physc.2005.03.058"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/JXCDC.2021.3130839"},{"key":"e_1_3_2_1_53_1","volume-title":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, Vol.\u00a02. IEEE, 966\u2013970","author":"Parhami Behraoz","year":"1995","unstructured":"Behraoz Parhami and Chi-Hsiang Yeh . 1995 . Accumulative parallel counters . In Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, Vol.\u00a02. IEEE, 966\u2013970 . Behraoz Parhami and Chi-Hsiang Yeh. 1995. Accumulative parallel counters. In Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, Vol.\u00a02. IEEE, 966\u2013970."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2022.3169759"},{"key":"e_1_3_2_1_55_1","volume-title":"2022 International Electron Devices Meeting (IEDM). IEEE, 23\u20135.","author":"Prasad Divya","year":"2022","unstructured":"Divya Prasad , Manoj Vangala , Mudit Bhargava , Arnout Beckers , Alexander Grill , Davide Tierno , Krishnendra Nathella , Thanusree Achuthan , David Pietromonaco , James Myers , 2022 . Cryo-computing for infrastructure applications: A technology-to-microarchitecture co-optimization study . In 2022 International Electron Devices Meeting (IEDM). IEEE, 23\u20135. Divya Prasad, Manoj Vangala, Mudit Bhargava, Arnout Beckers, Alexander Grill, Davide Tierno, Krishnendra Nathella, Thanusree Achuthan, David Pietromonaco, James Myers, 2022. Cryo-computing for infrastructure applications: A technology-to-microarchitecture co-optimization study. In 2022 International Electron Devices Meeting (IEDM). IEEE, 23\u20135."},{"key":"e_1_3_2_1_56_1","volume-title":"An architecture for fault-tolerant computation with stochastic logic","author":"Qian Weikang","year":"2010","unstructured":"Weikang Qian , Xin Li , Marc\u00a0 D Riedel , Kia Bazargan , and David\u00a0 J Lilja . 2010. An architecture for fault-tolerant computation with stochastic logic . IEEE transactions on computers 60, 1 ( 2010 ), 93\u2013105. Weikang Qian, Xin Li, Marc\u00a0D Riedel, Kia Bazargan, and David\u00a0J Lilja. 2010. An architecture for fault-tolerant computation with stochastic logic. 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In Proceedings of the IEEE\/CVF international conference on computer vision. 5198\u20135208 . Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, and Rongrong Ji. 2021. Recu: Reviving the dead weights in binary neural networks. In Proceedings of the IEEE\/CVF international conference on computer vision. 5198\u20135208."},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6668"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2023.3243180"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00748"},{"key":"e_1_3_2_1_79_1","volume-title":"Towards lower bit multiplication for convolutional neural network training. arXiv preprint arXiv:2006.02804 3, 4","author":"Zhong Kai","year":"2020","unstructured":"Kai Zhong , Tianchen Zhao , Xuefei Ning , Shulin Zeng , Kaiyuan Guo , Yu Wang , and Huazhong Yang . 2020. 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