Bit-wise Training of Neural Network Weights

19 February 2022

Papers citing "Bit-wise Training of Neural Network Weights"

24 / 24 papers shown

Title
EvilModel: Hiding Malware Inside of Neural Network Models Zhi Wang Chaoge Liu Xiang Cui 40 31 0 19 Jul 2021
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 60 59 0 07 Oct 2020
Training highly effective connectivities within neural networks with randomly initialized, fixed weights Cristian Ivan Razvan V. Florian 29 4 0 30 Jun 2020
Logarithmic Pruning is All You Need Laurent Orseau Marcus Hutter Omar Rivasplata 49 88 0 22 Jun 2020
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks Alexander Shekhovtsov Dmitry Molchanov MQ 38 16 0 11 Jun 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need Eran Malach Gilad Yehudai Shai Shalev-Shwartz Ohad Shamir 96 274 0 03 Feb 2020
What's Hidden in a Randomly Weighted Neural Network? Vivek Ramanujan Mitchell Wortsman Aniruddha Kembhavi Ali Farhadi Mohammad Rastegari 66 356 0 29 Nov 2019
Back to Simplicity: How to Train Accurate BNNs from Scratch? Joseph Bethge Haojin Yang Marvin Bornstein Christoph Meinel AAML MQ 52 58 0 19 Jun 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask Hattie Zhou Janice Lan Rosanne Liu J. Yosinski UQCV 52 386 0 03 May 2019
Improved training of binary networks for human pose estimation and image recognition Adrian Bulat Georgios Tzimiropoulos Jean Kossaifi Maja Pantic MQ 50 47 0 11 Apr 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 94 314 0 13 Mar 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 69 312 0 15 Feb 2019
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 247 1,198 0 04 Oct 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wen Liu K. Cheng MQ 81 555 0 01 Aug 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 223 3,461 0 09 Mar 2018
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm Xiaoliang Dai Hongxu Yin N. Jha DD 75 235 0 06 Nov 2017
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 131 1,035 0 04 Dec 2016
Ternary Weight Networks Fengfu Li Bin Liu Xiaoxing Wang Bo Zhang Junchi Yan MQ 68 525 0 16 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 159 4,353 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 204 2,984 0 02 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 303 18,609 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Estimating or Propagating Gradients Through Stochastic Neurons Yoshua Bengio 113 110 0 14 May 2013