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Neural Rejuvenation: Improving Deep Network Training by Enhancing
  Computational Resource Utilization

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization

2 December 2018
Siyuan Qiao
Zhe-nan Lin
Jianming Zhang
Alan Yuille
ArXivPDFHTML

Papers citing "Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization"

12 / 12 papers shown
Title
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Tim Whitaker
L. D. Whitley
CVBM
33
2
0
11 Feb 2023
Weight Evolution: Improving Deep Neural Networks Training through
  Evolving Inferior Weight Values
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
Zhenquan Lin
K. Guo
Xiaofen Xing
Xiangmin Xu
ODL
24
1
0
09 Oct 2021
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons
  through Regularization
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization
Justus F. Hübotter
Pablo Lanillos
Jakub M. Tomczak
18
3
0
22 Sep 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
38
28
0
24 Apr 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
49
21
0
09 Mar 2021
Rethinking the Value of Transformer Components
Rethinking the Value of Transformer Components
Wenxuan Wang
Zhaopeng Tu
27
38
0
07 Nov 2020
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer
  Vision Systems
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
Leo F. Isikdogan
Bhavin V. Nayak
Chyuan-Tyng Wu
Joao Peralta Moreira
R. Sushma
G. Michael
23
7
0
12 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by
  Maximizing the Minimal Angles
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Zhennan Wang
Canqun Xiang
Wenbin Zou
Chen Xu
17
19
0
06 Jun 2020
A Multigrid Method for Efficiently Training Video Models
A Multigrid Method for Efficiently Training Video Models
Chaoxia Wu
Ross B. Girshick
Kaiming He
Christoph Feichtenhofer
Philipp Krahenbuhl
32
94
0
02 Dec 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks
Differentiable Mask for Pruning Convolutional and Recurrent Networks
R. Ramakrishnan
Eyyub Sari
V. Nia
VLM
40
15
0
10 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
19
12
0
09 Sep 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
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