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Stimulative Training of Residual Networks: A Social Psychology
  Perspective of Loafing

Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing

9 October 2022
Peng Ye
Shengji Tang
Baopu Li
Tao Chen
Wanli Ouyang
ArXiv (abs)PDFHTMLGithub (11★)

Papers citing "Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing"

26 / 26 papers shown
Title
Efficient Joint-Dimensional Search with Solution Space Regularization
  for Real-Time Semantic Segmentation
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Peng Ye
Baopu Li
Tao Chen
Jiayuan Fan
Zhen Mei
Chen-Fu Lin
Chongyan Zuo
Qinghua Chi
Wanli Ouyan
3DV
66
12
0
10 Aug 2022
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture
  Search
βββ-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Peng Ye
Baopu Li
Yikang Li
Tao Chen
Jiayuan Fan
Wanli Ouyang
59
104
0
03 Mar 2022
BN-NAS: Neural Architecture Search with Batch Normalization
BN-NAS: Neural Architecture Search with Batch Normalization
Boyu Chen
Peixia Li
Baopu Li
Chen Lin
Chuming Li
Ming Sun
Junjie Yan
Wanli Ouyang
76
31
0
16 Aug 2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform
  Deployment
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni
S. Varshini
Alind Khare
Alexey Tumanov
38
33
0
26 Apr 2021
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage
  Models
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Jiahui Yu
Pengchong Jin
Hanxiao Liu
Gabriel Bender
Pieter-Jan Kindermans
Mingxing Tan
Thomas Huang
Xiaodan Song
Ruoming Pang
Quoc V. Le
86
304
0
24 Mar 2020
Improving One-shot NAS by Suppressing the Posterior Fading
Improving One-shot NAS by Suppressing the Posterior Fading
Xiang Li
Chen Lin
Chuming Li
Ming Sun
Wei Wu
Junjie Yan
Wanli Ouyang
54
78
0
06 Oct 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
113
1,283
0
26 Aug 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural
  Networks via Self Distillation
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
FedML
76
865
0
17 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
359
6,811
0
06 May 2019
Universally Slimmable Networks and Improved Training Techniques
Universally Slimmable Networks and Improved Training Techniques
Jiahui Yu
Thomas Huang
76
386
0
12 Mar 2019
Improved Knowledge Distillation via Teacher Assistant
Improved Knowledge Distillation via Teacher Assistant
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Ang Li
Nir Levine
Akihiro Matsukawa
H. Ghasemzadeh
100
1,081
0
09 Feb 2019
Knowledge Transfer via Distillation of Activation Boundaries Formed by
  Hidden Neurons
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo
Minsik Lee
Sangdoo Yun
J. Choi
55
527
0
08 Nov 2018
DropBlock: A regularization method for convolutional networks
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
118
914
0
30 Oct 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
443
5,168
0
19 Jun 2018
Polynomial Regression As an Alternative to Neural Nets
Polynomial Regression As an Alternative to Neural Nets
Xi Cheng
B. Khomtchouk
N. Matloff
Pete Mohanty
34
82
0
13 Jun 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for
  Simultaneous Depth Estimation and Scene Parsing
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
MoE
62
479
0
11 May 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim
Seonguk Park
Nojun Kwak
77
551
0
14 Feb 2018
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
155
1,654
0
01 Jun 2017
The Shattered Gradients Problem: If resnets are the answer, then what is
  the question?
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
David Balduzzi
Marcus Frean
Lennox Leary
J. P. Lewis
Kurt Wan-Duo Ma
Brian McWilliams
ODL
73
406
0
28 Feb 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
802
36,892
0
25 Aug 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
215
2,362
0
30 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,745
0
09 Mar 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
319
3,899
0
19 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
494
43,698
0
17 Sep 2014
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