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Mirror Descent View for Neural Network Quantization

International Conference on Artificial Intelligence and Statistics (AISTATS), 2019

18 October 2019

Thalaiyasingam Ajanthan

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Papers citing "Mirror Descent View for Neural Network Quantization"

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Title
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Soroush Tabesh M. Safaryan Dan Alistarh Alexandra Volkova Dan Alistarh MQ 175 0 0 21 Oct 2025
High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator Yuma Ichikawa Shuhei Kashiwamura Ayaka Sakata MQ 180 0 0 12 Oct 2025
Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization Halyun Jeong Jack Xin Penghang Yin MQ 167 0 0 23 May 2025
PARQ: Piecewise-Affine Regularized Quantization Lisa Jin Jianhao Ma Zechun Liu Andrey Gromov Aaron Defazio Lin Xiao MQ 204 5 0 19 Mar 2025
Hyperbolic Binary Neural NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Jun Chen Jingyang Xiang Tianxin Huang Xiangrui Zhao Yong Liu MQ 147 1 0 08 Jan 2025
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 321 2 0 25 May 2024
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks Kartik Gupta Akshay Asthana MQ 112 13 0 09 Nov 2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks TrainingIEEE International Conference on Computer Vision (ICCV), 2023 Xiao-Ming Wu Dian Zheng Zuhao Liu Weishi Zheng MQ 279 25 0 13 Aug 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Wenshu Fan 270 5 0 07 Feb 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Louis Leconte S. Schechtman Eric Moulines 207 4 0 07 Nov 2022
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2021 Huu Le R. Høier Che-Tsung Lin Christopher Zach 170 19 0 06 Dec 2021
Demystifying and Generalizing BinaryConnectNeural Information Processing Systems (NeurIPS), 2021 Abhishek Sharma Yaoliang Yu Eyyub Sari Mahdi Zolnouri V. Nia MQ 162 11 0 25 Oct 2021
A comprehensive review of Binary Neural NetworkArtificial Intelligence Review (AIR), 2021 Chunyu Yuan S. Agaian MQ 322 122 0 11 Oct 2021
ReCU: Reviving the Dead Weights in Binary Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2021 Zihan Xu Mingbao Lin Jianzhuang Liu Jie Chen Ling Shao Yue Gao Yonghong Tian Rongrong Ji MQ 183 95 0 23 Mar 2021
Rotated Binary Neural NetworkNeural Information Processing Systems (NeurIPS), 2020 Mingbao Lin Rongrong Ji Zi-Han Xu Baochang Zhang Yan Wang Yongjian Wu Feiyue Huang Chia-Wen Lin MQ 245 150 0 28 Sep 2020
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary NetworksGerman Conference on Pattern Recognition (DAGM), 2020 Alexander Shekhovtsov Dmitry Molchanov MQ 328 18 0 11 Jun 2020
Geometry-Aware Gradient Algorithms for Neural Architecture SearchInternational Conference on Learning Representations (ICLR), 2020 Liam Li M. Khodak Maria-Florina Balcan Ameet Talwalkar 358 70 0 16 Apr 2020
Improved Gradient based Adversarial Attacks for Quantized NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Kartik Gupta Thalaiyasingam Ajanthan MQ 106 21 0 30 Mar 2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation FunctionsEuropean Conference on Computer Vision (ECCV), 2020 Zechun Liu Zhiqiang Shen Marios Savvides Kwang-Ting Cheng MQ 546 390 0 07 Mar 2020
Training Binary Neural Networks using the Bayesian Learning RuleInternational Conference on Machine Learning (ICML), 2020 Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 264 45 0 25 Feb 2020