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RandAugment: Practical automated data augmentation with a reduced search
  space

RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
    MQ
ArXivPDFHTML

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

50 / 1,998 papers shown
Title
Efficient Model Performance Estimation via Feature Histories
Efficient Model Performance Estimation via Feature Histories
Shengcao Cao
Xiaofang Wang
Kris M. Kitani
4
1
0
07 Mar 2021
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
J. C. V. Gemert
VLM
14
11
0
05 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
T. Bdair
Nassir Navab
Shadi Albarqouni
FedML
11
12
0
05 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
22
174
0
05 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
48
973
0
04 Mar 2021
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
Kasumi Obi
Q. H. Cap
N. Umegaki-Arao
Masaru Tanaka
Hitoshi Iyatomi
MedIm
6
0
0
03 Mar 2021
Augmentation Strategies for Learning with Noisy Labels
Augmentation Strategies for Learning with Noisy Labels
Kento Nishi
Yi Ding
Alex Rich
Tobias Höllerer
NoLa
13
116
0
03 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness
Fixing Data Augmentation to Improve Adversarial Robustness
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
25
268
0
02 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
12
566
0
28 Feb 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
284
1,524
0
27 Feb 2021
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with
  Special Tokens, Re-Ranking, Siamese Encoders and Back Translation
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation
Yuqiang Xie
Luxi Xing
Wei Peng
Yue Hu
13
4
0
25 Feb 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
45
129
0
23 Feb 2021
Conditional Positional Encodings for Vision Transformers
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu
Zhi Tian
Bo-Wen Zhang
Xinlong Wang
Chunhua Shen
ViT
20
602
0
22 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image
  Segmentation
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
Zeju Li
Konstantinos Kamnitsas
Ben Glocker
SSeg
UQCV
4
127
0
20 Feb 2021
Hard-Attention for Scalable Image Classification
Hard-Attention for Scalable Image Classification
Athanasios Papadopoulos
Pawel Korus
N. Memon
62
25
0
20 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
26
256
0
18 Feb 2021
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection:
  Methods and Results
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
Liming Jiang
Z. Guo
Wayne Wu
Zhaoyang Liu
Ziwei Liu
...
Feiyue Huang
Liujuan Cao
Rongrong Ji
Changlei Lu
Ganchao Tan
CVBM
27
11
0
18 Feb 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed
  Self-Training
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai
Peter Bailis
Gregory Valiant
OT
43
43
0
17 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
267
179
0
17 Feb 2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation
Elizabeth Fons
Paula Dawson
Xiao-Jun Zeng
J. Keane
Alexandros Iosifidis
AI4TS
13
23
0
16 Feb 2021
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity
  Representation
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
T. Tran
Mingu Kang
Daeyoung Kim
4
1
0
12 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
19
317
0
09 Feb 2021
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
19
109
0
07 Feb 2021
Deep Semi-Supervised Learning for Time Series Classification
Deep Semi-Supervised Learning for Time Series Classification
Jann Goschenhofer
Rasmus Hvingelby
David Rügamer
Janek Thomas
Moritz Wagner
B. Bischl
AI4TS
25
12
0
06 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination
  Representation
Sill-Net: Feature Augmentation with Separated Illumination Representation
Hanwang Zhang
Zhong Cao
Ziang Yan
Changshui Zhang
13
26
0
06 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region
  Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim
Bokyung Son
Ildoo Kim
VLM
CLIP
51
1,703
0
05 Feb 2021
In-Loop Meta-Learning with Gradient-Alignment Reward
In-Loop Meta-Learning with Gradient-Alignment Reward
Samuel G. Müller
André Biedenkapp
Frank Hutter
OOD
17
2
0
05 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts
CrossNorm and SelfNorm for Generalization under Distribution Shifts
Zhiqiang Tang
Yunhe Gao
Yi Zhu
Zhi-Li Zhang
Mu Li
Dimitris N. Metaxas
OOD
22
51
0
04 Feb 2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Ankit Singh
Omprakash Chakraborty
Ashutosh Varshney
Rameswar Panda
Rogerio Feris
Kate Saenko
Abir Das
25
96
0
04 Feb 2021
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion
  Classification
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao
Shuwei Shen
Mengjuan Xu
Peng Liu
Fan Zhang
Jinyu Xing
Pengfei Shao
B. Kaffenberger
Ronald X. Xu
21
114
0
02 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
198
421
0
01 Feb 2021
Semi-supervised Sound Event Detection using Random Augmentation and
  Consistency Regularization
Semi-supervised Sound Event Detection using Random Augmentation and Consistency Regularization
Xiaofei Li
12
1
0
30 Jan 2021
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining
  and Consistency
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
Samarth Mishra
Kate Saenko
Venkatesh Saligrama
24
28
0
29 Jan 2021
tf.data: A Machine Learning Data Processing Framework
tf.data: A Machine Learning Data Processing Framework
D. Murray
Jiří Šimša
Ana Klimovic
Ihor Indyk
PINN
AI4CE
LMTD
39
87
0
28 Jan 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
290
979
0
27 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
25
493
0
26 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
N. Simard
Guillaume Lagrange
SSL
11
5
0
24 Jan 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
129
35
0
23 Jan 2021
HANA: A HAndwritten NAme Database for Offline Handwritten Text
  Recognition
HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition
Christian Moller Dahl
Torben S. D. Johansen
Emil N. Sørensen
Simon Wittrock
16
0
0
22 Jan 2021
Characterizing signal propagation to close the performance gap in
  unnormalized ResNets
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock
Soham De
Samuel L. Smith
28
120
0
21 Jan 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo
Hao Cheng
Fanxu Meng
Yuting Gao
Ke Li
Mengdan Zhang
Xing Sun
17
8
0
19 Jan 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for
  Semi-Supervised Learning
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
Byoungjip Kim
Jinho Choo
Yeong-Dae Kwon
Seongho Joe
Seungjai Min
Youngjune Gwon
SSL
25
52
0
16 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
392
142
0
13 Jan 2021
A Convergence Theory Towards Practical Over-parameterized Deep Neural
  Networks
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks
Asaf Noy
Yi Tian Xu
Y. Aflalo
Lihi Zelnik-Manor
R. L. Jin
31
3
0
12 Jan 2021
Octave Mix: Data augmentation using frequency decomposition for activity
  recognition
Octave Mix: Data augmentation using frequency decomposition for activity recognition
Tatsuhito Hasegawa
25
3
0
08 Jan 2021
Low-cost and high-performance data augmentation for deep-learning-based
  skin lesion classification
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Shuwei Shen
Mengjuan Xu
Fan Zhang
Pengfei Shao
Honghong Liu
...
Chi Zhang
Peng Liu
Zhihong Zhang
Peng Yao
Ronald X. Xu
17
10
0
07 Jan 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
75
6,563
0
23 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for
  Unsupervised Domain Adaptation
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
35
133
0
21 Dec 2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels
ResizeMix: Mixing Data with Preserved Object Information and True Labels
Jie Qin
Jiemin Fang
Qian Zhang
Wenyu Liu
Xingang Wang
Xinggang Wang
17
81
0
21 Dec 2020
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