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ShakeDrop Regularization for Deep Residual Learning

ShakeDrop Regularization for Deep Residual Learning

7 February 2018
Yoshihiro Yamada
Masakazu Iwamura
Takuya Akiba
K. Kise
ArXivPDFHTML

Papers citing "ShakeDrop Regularization for Deep Residual Learning"

28 / 28 papers shown
Title
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffM
AAML
34
1
0
11 Sep 2024
Development of Skip Connection in Deep Neural Networks for Computer
  Vision and Medical Image Analysis: A Survey
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
Guoping Xu
Xiaxia Wang
Xinglong Wu
Xuesong Leng
Yongchao Xu
3DPC
34
8
0
02 May 2024
ContextMix: A context-aware data augmentation method for industrial
  visual inspection systems
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
Hyungmin Kim
Donghun Kim
Pyunghwan Ahn
Sungho Suh
Hansang Cho
Junmo Kim
26
2
0
18 Jan 2024
Unproportional mosaicing
Unproportional mosaicing
Vojtech Molek
P. Hurtík
Pavel Vlasánek
D. Adamczyk
21
1
0
03 Mar 2023
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
20
39
0
14 Jun 2022
Privacy-Preserving Image Classification Using Vision Transformer
Privacy-Preserving Image Classification Using Vision Transformer
Zheng Qi
AprilPyone Maungmaung
Yuma Kinoshita
Hitoshi Kiya
ViT
29
19
0
24 May 2022
A Survey on Dropout Methods and Experimental Verification in
  Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation
Y. Li
Weizhi Ma
C. L. Philip Chen
M. Zhang
Yiqun Liu
Shaoping Ma
Yue Yang
33
9
0
05 Apr 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Teppei Suzuki
ViT
21
48
0
25 Feb 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in
  Deep Learning
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Yang Zhao
Hao Zhang
Xiuyuan Hu
30
116
0
08 Feb 2022
Avoiding Overfitting: A Survey on Regularization Methods for
  Convolutional Neural Networks
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
C. F. G. Santos
João Paulo Papa
22
211
0
10 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated
  Label Mixing
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
Joonhyung Park
J. Yang
Jinwoo Shin
S. Hwang
Eunho Yang
25
23
0
16 Dec 2021
Spectral Bias in Practice: The Role of Function Frequency in
  Generalization
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil
Raphael Gontijo-Lopes
Rebecca Roelofs
35
28
0
06 Oct 2021
DAAS: Differentiable Architecture and Augmentation Policy Search
DAAS: Differentiable Architecture and Augmentation Policy Search
Xiaoxing Wang
Xiangxiang Chu
Junchi Yan
Xiaokang Yang
24
5
0
30 Sep 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model
  Configurations
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
Taojiannan Yang
Sijie Zhu
Matías Mendieta
Pu Wang
Ravikumar Balakrishnan
Minwoo Lee
T. Han
M. Shah
C. L. P. Chen
3DH
OOD
28
22
0
14 May 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
27
113
0
23 Nov 2020
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng
Richong Zhang
Yongyi Mao
AAML
22
95
0
10 Oct 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Chen Ma
L. Chen
Junhai Yong
MLAU
OOD
41
17
0
02 Sep 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation
Circumventing Outliers of AutoAugment with Knowledge Distillation
Longhui Wei
Anxiang Xiao
Lingxi Xie
Xin Chen
Xiaopeng Zhang
Qi Tian
21
62
0
25 Mar 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
253
656
0
23 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization
  Methods
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Sanghyuk Chun
Seong Joon Oh
Sangdoo Yun
Dongyoon Han
Junsuk Choe
Y. Yoo
AAML
OOD
329
53
0
09 Mar 2020
On Feature Normalization and Data Augmentation
On Feature Normalization and Data Augmentation
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
21
134
0
25 Feb 2020
DropAttention: A Regularization Method for Fully-Connected
  Self-Attention Networks
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks
Zehui Lin
Pengfei Liu
Luyao Huang
Junkun Chen
Xipeng Qiu
Xuanjing Huang
3DPC
16
44
0
25 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
306
4,686
0
13 May 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
31
1,000
0
22 Apr 2019
Deep Neural Network Ensembles
Deep Neural Network Ensembles
S. Tao
OOD
FaML
UQCV
19
37
0
11 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
N. V. Noord
M. Worring
MoE
16
96
0
28 Mar 2019
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging
Shengyun Wei
Kele Xu
Dezhi Wang
Feifan Liao
Huaimin Wang
Qiuqiang Kong
57
38
0
12 Aug 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
33
1,020
0
12 May 2018
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