AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks

7 November 2022

Papers citing "AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks"

6 / 6 papers shown

Title
Boolean Logic as an Error feedback mechanism Louis Leconte 13 0 0 29 Jan 2024
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold S. Schechtman D. Tiapkin Michael Muehlebach Eric Moulines 27 6 0 16 Mar 2023
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks Huu Le R. Høier Che-Tsung Lin Christopher Zach 40 16 0 06 Dec 2021
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators Alexander Shekhovtsov MQ 17 4 0 07 Oct 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 669 0 24 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014