ProxQuant: Quantized Neural Networks via Proximal Operators

1 October 2018

Papers citing "ProxQuant: Quantized Neural Networks via Proximal Operators"

31 / 31 papers shown

Title
Cauchy-Schwarz Regularizers Sueda Taner Ziyi Wang Christoph Studer 44 0 0 03 Mar 2025
Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization Ganzhao Yuan 43 0 0 28 Feb 2025
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture Yikun Hou Suvrit Sra A. Yurtsever 34 0 0 28 Jan 2025
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 45 0 0 25 May 2024
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 56 0 0 04 Dec 2023
Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 35 7 0 22 Oct 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Yong-Jin Liu 38 2 0 07 Feb 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023
Signed Binary Weight Networks Sachit Kuhar Alexey Tumanov Judy Hoffman MQ 21 1 0 25 Nov 2022
BiViT: Extremely Compressed Binary Vision Transformer Yefei He Zhenyu Lou Luoming Zhang Jing Liu Weijia Wu Hong Zhou Bohan Zhuang ViT MQ 28 28 0 14 Nov 2022
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 34 4 0 07 Nov 2022
Spartan: Differentiable Sparsity via Regularized Transportation Kai Sheng Tai Taipeng Tian Ser-Nam Lim 34 11 0 27 May 2022
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks Huu Le R. Høier Che-Tsung Lin Christopher Zach 55 17 0 06 Dec 2021
Training Structured Neural Networks Through Manifold Identification and Variance Reduction Zih-Syuan Huang Ching-pei Lee AAML 53 9 0 05 Dec 2021
Demystifying and Generalizing BinaryConnect Abhishek Sharma Yaoliang Yu Eyyub Sari Mahdi Zolnouri V. Nia MQ 22 8 0 25 Oct 2021
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 37 61 0 30 Sep 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML MQ 29 56 0 29 Jul 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 35 75 0 17 Mar 2021
Learning by Turning: Neural Architecture Aware Optimisation Yang Liu Jeremy Bernstein M. Meister Yisong Yue ODL 48 26 0 14 Feb 2021
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 145 221 0 31 Dec 2020
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks Jonathan Ashbrock A. Powell MQ 30 5 0 25 Aug 2020
A General Family of Stochastic Proximal Gradient Methods for Deep Learning Jihun Yun A. Lozano Eunho Yang 22 12 0 15 Jul 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 55 459 0 31 Mar 2020
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 24 42 0 21 Dec 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 27 17 0 22 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Efficient Neural Architecture Search via Proximal Iterations Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu 30 104 0 30 May 2019
Mixed Precision DNNs: All you need is a good parametrization Stefan Uhlich Lukas Mauch Fabien Cardinaux K. Yoshiyama Javier Alonso García Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 27 38 0 27 May 2019
Training Quantized Neural Networks with a Full-precision Auxiliary Module Bohan Zhuang Lingqiao Liu Mingkui Tan Chunhua Shen Ian Reid MQ 32 62 0 27 Mar 2019
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Richard I. Hartley Philip Torr MQ 43 20 0 11 Dec 2018
Differentiable Fine-grained Quantization for Deep Neural Network Compression Hsin-Pai Cheng Yuanjun Huang Xuyang Guo Yifei Huang Feng Yan Hai Helen Li Yiran Chen MQ 29 14 0 20 Oct 2018