ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.02804
  4. Cited By
Exploring the Potential of Low-bit Training of Convolutional Neural
  Networks

Exploring the Potential of Low-bit Training of Convolutional Neural Networks

4 June 2020
Kai Zhong
Xuefei Ning
Guohao Dai
Zhenhua Zhu
Tianchen Zhao
Shulin Zeng
Yu Wang
Huazhong Yang
    MQ
ArXivPDFHTML

Papers citing "Exploring the Potential of Low-bit Training of Convolutional Neural Networks"

11 / 11 papers shown
Title
Training High-Performance and Large-Scale Deep Neural Networks with Full
  8-bit Integers
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
Yukuan Yang
Shuang Wu
Lei Deng
Tianyi Yan
Yuan Xie
Guoqi Li
MQ
117
112
0
05 Sep 2019
Mixed Precision Training With 8-bit Floating Point
Mixed Precision Training With 8-bit Floating Point
Naveen Mellempudi
Sudarshan Srinivasan
Dipankar Das
Bharat Kaul
MQ
32
69
0
29 May 2019
Scalable Methods for 8-bit Training of Neural Networks
Scalable Methods for 8-bit Training of Neural Networks
Ron Banner
Itay Hubara
Elad Hoffer
Daniel Soudry
MQ
70
335
0
25 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
40
945
0
16 May 2018
Mixed Precision Training of Convolutional Neural Networks using Integer
  Operations
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das
Naveen Mellempudi
Dheevatsa Mudigere
Dhiraj D. Kalamkar
Sasikanth Avancha
...
J. Corbal
N. Shustrov
R. Dubtsov
Evarist Fomenko
V. Pirogov
MQ
49
154
0
03 Feb 2018
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep
  Neural Networks
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Koster
T. Webb
Xin Eric Wang
Marcel Nassar
Arjun K. Bansal
...
Luke Hornof
A. Khosrowshahi
Carey Kloss
Ruby J. Pai
N. Rao
MQ
37
261
0
06 Nov 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
214
8,030
0
13 Aug 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
129
4,342
0
16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
160
11,135
0
14 Mar 2016
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
71
814
0
19 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
189
8,793
0
01 Oct 2015
1