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RandAugment: Practical automated data augmentation with a reduced search
  space
v1v2 (latest)

RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
    MQ
ArXiv (abs)PDFHTML

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

50 / 2,036 papers shown
Title
Learning Temporally Invariant and Localizable Features via Data
  Augmentation for Video Recognition
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
Taeoh Kim
Hyeongmin Lee
Myeongah Cho
Hankook Lee
Dong Heon Cho
Sangyoun Lee
67
26
0
13 Aug 2020
An Ensemble of Simple Convolutional Neural Network Models for MNIST
  Digit Recognition
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition
Sanghyeon An
Min Jun Lee
Sanglee Park
H. Yang
Jungmin So
87
79
0
12 Aug 2020
Spatiotemporal Contrastive Video Representation Learning
Spatiotemporal Contrastive Video Representation Learning
Rui Qian
Tianjian Meng
Boqing Gong
Ming-Hsuan Yang
Haoran Wang
Serge J. Belongie
Huayu Chen
SSLAI4TS
136
502
0
09 Aug 2020
Noisy Student Training using Body Language Dataset Improves Facial
  Expression Recognition
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition
Vikas Kumar
Shivansh Rao
Li Yu
CVBMNoLa
114
32
0
06 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
90
111
0
04 Aug 2020
Finite Versus Infinite Neural Networks: an Empirical Study
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee
S. Schoenholz
Jeffrey Pennington
Ben Adlam
Lechao Xiao
Roman Novak
Jascha Narain Sohl-Dickstein
87
214
0
31 Jul 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image
  Classification
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
N. H. Phong
B. Ribeiro
VLM
62
8
0
30 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
141
161
0
21 Jul 2020
Self-similarity Student for Partial Label Histopathology Image
  Segmentation
Self-similarity Student for Partial Label Histopathology Image Segmentation
Hsien-Tzu Cheng
Chun-Fu Yeh
Po-Chen Kuo
Andy Wei
Keng-Chi Liu
Mong-Chi Ko
Kuan-Hua Chao
Yu-Ching Peng
Tyng-Luh Liu
112
20
0
19 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang
Yunhe Gao
Leonid Karlinsky
P. Sattigeri
Rogerio Feris
Dimitris N. Metaxas
65
58
0
17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
73
165
0
17 Jul 2020
A Technical Report for VIPriors Image Classification Challenge
A Technical Report for VIPriors Image Classification Challenge
Zhipeng Luo
Ge Li
Zhiguang Zhang
VLM
68
3
0
17 Jul 2020
A New Look at Ghost Normalization
A New Look at Ghost Normalization
Neofytos Dimitriou
Ognjen Arandjelovic
132
8
0
16 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
92
121
0
16 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons
Gradient-based Hyperparameter Optimization Over Long Horizons
P. Micaelli
Amos Storkey
119
15
0
15 Jul 2020
Consistency Regularization with Generative Adversarial Networks for
  Semi-Supervised Learning
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen
B. Ramachandra
Ranga Raju Vatsavai
GAN
53
1
0
08 Jul 2020
SpinalNet: Deep Neural Network with Gradual Input
SpinalNet: Deep Neural Network with Gradual Input
H. M. D. Kabir
Moloud Abdar
S. M. Jalali
Abbas Khosravi
A. Atiya
S. Nahavandi
D. Srinivasan
AI4CE
77
137
0
07 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
128
549
0
01 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical
  Distribution
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Hadi Pouransari
Mojan Javaheripi
Vinay Sharma
Oncel Tuzel
36
5
0
30 Jun 2020
Target Consistency for Domain Adaptation: when Robustness meets
  Transferability
Target Consistency for Domain Adaptation: when Robustness meets Transferability
Yassine Ouali
Victor Bouvier
Myriam Tami
C´eline Hudelot
OOD
62
3
0
25 Jun 2020
Federated Semi-Supervised Learning with Inter-Client Consistency &
  Disjoint Learning
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
FedML
74
224
0
22 Jun 2020
Boosting Active Learning for Speech Recognition with Noisy
  Pseudo-labeled Samples
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
80
2
0
19 Jun 2020
Supervision Accelerates Pre-training in Contrastive Semi-Supervised
  Learning of Visual Representations
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations
Mahmoud Assran
Nicolas Ballas
Lluis Castrejon
Michael G. Rabbat
SSL
31
3
0
18 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
145
607
0
18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
324
4,107
0
17 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised
  Performance
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
L. Smith
A. Conovaloff
SSL
75
8
0
16 Jun 2020
Meta Approach to Data Augmentation Optimization
Meta Approach to Data Augmentation Optimization
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
81
35
0
14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
442
6,857
0
13 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network
  models of visual cortex
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex
Benjamin R. Cowley
Jonathan W. Pillow
41
10
0
13 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
112
654
0
11 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
201
1,896
0
11 Jun 2020
Hypernetwork-Based Augmentation
Hypernetwork-Based Augmentation
Chih-Yang Chen
Che-Han Chang
61
3
0
11 Jun 2020
Image Augmentations for GAN Training
Image Augmentations for GAN Training
Zhengli Zhao
Zizhao Zhang
Ting-Li Chen
Sameer Singh
Han Zhang
71
137
0
04 Jun 2020
Interpolation-based semi-supervised learning for object detection
Interpolation-based semi-supervised learning for object detection
Jisoo Jeong
Vikas Verma
Minsung Hyun
Arno Solin
Nojun Kwak
92
73
0
03 Jun 2020
Pseudo-Representation Labeling Semi-Supervised Learning
Pseudo-Representation Labeling Semi-Supervised Learning
Song-Bo Yang
Tian-li Yu
89
3
0
31 May 2020
High-order structure preserving graph neural network for few-shot
  learning
High-order structure preserving graph neural network for few-shot learning
Guangfeng Lin
Ying Yang
Y. Fan
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
63
1
0
29 May 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLMSSL
115
540
0
25 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
120
1,338
0
20 May 2020
Neural Architecture Transfer
Neural Architecture Transfer
Zhichao Lu
Gautam Sreekumar
E. Goodman
W. Banzhaf
Kalyanmoy Deb
Vishnu Boddeti
AAML
92
151
0
12 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
121
500
0
10 May 2020
AutoCLINT: The Winning Method in AutoCV Challenge 2019
AutoCLINT: The Winning Method in AutoCV Challenge 2019
Woonhyuk Baek
Ildoo Kim
Sungwoong Kim
Sungbin Lim
47
2
0
09 May 2020
On the Generalization Effects of Linear Transformations in Data
  Augmentation
On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu
Hongyang R. Zhang
Gregory Valiant
Christopher Ré
86
78
0
02 May 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
124
660
0
30 Apr 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
203
4,597
0
23 Apr 2020
DMT: Dynamic Mutual Training for Semi-Supervised Learning
DMT: Dynamic Mutual Training for Semi-Supervised Learning
Zhengyang Feng
Qianyu Zhou
Qiqi Gu
Xin Tan
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
46
172
0
18 Apr 2020
Adversarial Augmentation Policy Search for Domain and Cross-Lingual
  Generalization in Reading Comprehension
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension
A. Maharana
Joey Tianyi Zhou
AAML
144
13
0
13 Apr 2020
Analysis on DeepLabV3+ Performance for Automatic Steel Defects Detection
Analysis on DeepLabV3+ Performance for Automatic Steel Defects Detection
Zheng Nie
Jiachen Xu
Shengchang Zhang
AI4CE
16
7
0
09 Apr 2020
Empirical Perspectives on One-Shot Semi-supervised Learning
Empirical Perspectives on One-Shot Semi-supervised Learning
L. Smith
A. Conovaloff
31
1
0
08 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSLDRLOffRL
134
1,093
0
08 Apr 2020
Probabilistic Spatial Transformer Networks
Probabilistic Spatial Transformer Networks
Pola Schwobel
Frederik Warburg
Martin Jørgensen
Kristoffer Hougaard Madsen
Søren Hauberg
74
8
0
07 Apr 2020
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