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AutoAugment: Learning Augmentation Policies from Data

AutoAugment: Learning Augmentation Policies from Data

24 May 2018
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
ArXivPDFHTML

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 351 papers shown
Title
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease
  Diagnosis
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Xiaowei Xu
Yiyu Shi
Jingtong Hu
MedIm
29
51
0
04 Mar 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty
  Calibration
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
Ryan Soklaski
Michael Yee
Theodoros Tsiligkaridis
AAML
14
14
0
24 Feb 2022
Sample Efficiency of Data Augmentation Consistency Regularization
Sample Efficiency of Data Augmentation Consistency Regularization
Shuo Yang
Yijun Dong
Rachel A. Ward
Inderjit S. Dhillon
Sujay Sanghavi
Qi Lei
AAML
25
17
0
24 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
36
9
0
23 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace
  Approximations
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Alexander Immer
Tycho F. A. van der Ouderaa
Gunnar Rätsch
Vincent Fortuin
Mark van der Wilk
BDL
39
44
0
22 Feb 2022
Image quality assessment by overlapping task-specific and task-agnostic
  measures: application to prostate multiparametric MR images for cancer
  segmentation
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation
Shaheer U. Saeed
Wen Yan
Yunguan Fu
F. Giganti
Qianye Yang
...
Richard E. Fan
G. Sonn
M. Emberton
D. Barratt
Yipeng Hu
42
8
0
20 Feb 2022
A Theory of PAC Learnability under Transformation Invariances
A Theory of PAC Learnability under Transformation Invariances
Hang Shao
Omar Montasser
Avrim Blum
21
18
0
15 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
35
116
0
08 Feb 2022
Practical Imitation Learning in the Real World via Task Consistency Loss
Practical Imitation Learning in the Real World via Task Consistency Loss
Mohi Khansari
Daniel Ho
Yuqing Du
Armando Fuentes
Matthew Bennice
Nicolas Sievers
Sean Kirmani
Yunfei Bai
Eric Jang
SSL
22
8
0
03 Feb 2022
Improving Robustness by Enhancing Weak Subnets
Improving Robustness by Enhancing Weak Subnets
Yong Guo
David Stutz
Bernt Schiele
AAML
27
15
0
30 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
38
27
0
28 Jan 2022
A Novel Mix-normalization Method for Generalizable Multi-source Person
  Re-identification
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification
Lei Qi
Lei Wang
Yinghuan Shi
Xing-xiao Geng
51
22
0
24 Jan 2022
Neighborhood Region Smoothing Regularization for Finding Flat Minima In
  Deep Neural Networks
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks
Yang Zhao
Hao Zhang
22
1
0
16 Jan 2022
Preventing Manifold Intrusion with Locality: Local Mixup
Preventing Manifold Intrusion with Locality: Local Mixup
Raphael Baena
Lucas Drumetz
Vincent Gripon
AAML
21
15
0
12 Jan 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
30
211
0
10 Jan 2022
MERLOT Reserve: Neural Script Knowledge through Vision and Language and
  Sound
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound
Rowan Zellers
Jiasen Lu
Ximing Lu
Youngjae Yu
Yanpeng Zhao
Mohammadreza Salehi
Aditya Kusupati
Jack Hessel
Ali Farhadi
Yejin Choi
36
207
0
07 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li
Xuechen Zhang
Christos Thrampoulidis
Jiasi Chen
Samet Oymak
19
67
0
04 Jan 2022
Data Augmentation for Depression Detection Using Skeleton-Based Gait
  Information
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information
Jingjing Yang
Hai Lu
Chengming Li
Xiping Hu
Bin Hu
CVBM
40
13
0
04 Jan 2022
On Automatic Data Augmentation for 3D Point Cloud Classification
On Automatic Data Augmentation for 3D Point Cloud Classification
Wanyue Zhang
Xun Xu
Fayao Liu
Le Zhang
Chuan-Sheng Foo
3DPC
30
4
0
11 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
Dan Hendrycks
Andy Zou
Mantas Mazeika
Leonard Tang
Bo-wen Li
D. Song
Jacob Steinhardt
UQCV
23
137
0
09 Dec 2021
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural
  Architecture Search
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
Yi Ding
Xinyu Gong
Junru Wu
Humphrey Shi
Zhicheng Yan
Zhangyang Wang
VGen
52
1
0
09 Dec 2021
Membership Inference Attacks From First Principles
Membership Inference Attacks From First Principles
Nicholas Carlini
Steve Chien
Milad Nasr
Shuang Song
Andreas Terzis
Florian Tramèr
MIACV
MIALM
29
642
0
07 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution
  Detection
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
19
4
0
30 Nov 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
17
17
0
30 Nov 2021
AugLiChem: Data Augmentation Library of Chemical Structures for Machine
  Learning
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning
Rishikesh Magar
Yuyang Wang
Cooper Lorsung
Chen Liang
Hariharan Ramasubramanian
Peiyuan Li
A. Farimani
28
27
0
30 Nov 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of
  Individual Nuisances in Natural Images
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Shaozuo Yu
Wufei Ma
M. Yu
Shenxiao Mei
Angtian Wang
Ju He
Alan Yuille
Adam Kortylewski
31
53
0
29 Nov 2021
Not All Relations are Equal: Mining Informative Labels for Scene Graph
  Generation
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
A. Goel
Basura Fernando
Frank Keller
Hakan Bilen
30
30
0
26 Nov 2021
Confounder Identification-free Causal Visual Feature Learning
Confounder Identification-free Causal Visual Feature Learning
Xin Li
Zhizheng Zhang
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Xin Jin
Zhibo Chen
CML
OOD
28
14
0
26 Nov 2021
Discrete Representations Strengthen Vision Transformer Robustness
Discrete Representations Strengthen Vision Transformer Robustness
Chengzhi Mao
Lu Jiang
Mostafa Dehghani
Carl Vondrick
Rahul Sukthankar
Irfan Essa
ViT
27
44
0
20 Nov 2021
Data Augmentation Can Improve Robustness
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
17
270
0
09 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification
  Architecture based on Recurrent Downsampled Attention
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
S. Tan
Runpei Dong
Kaisheng Ma
22
2
0
03 Nov 2021
LogAvgExp Provides a Principled and Performant Global Pooling Operator
LogAvgExp Provides a Principled and Performant Global Pooling Operator
S. Lowe
Thomas Trappenberg
Sageev Oore
FAtt
21
2
0
02 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for
  Semantic Segmentation
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation
Misgana Negassi
Diane Wagner
A. Reiterer
17
13
0
31 Oct 2021
Blending Anti-Aliasing into Vision Transformer
Blending Anti-Aliasing into Vision Transformer
Shengju Qian
Hao Shao
Yi Zhu
Mu Li
Jiaya Jia
26
20
0
28 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust
  Training
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zhangyang Wang
27
106
0
26 Oct 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic
  Boolean Operators
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
S. Lowe
Robert C. Earle
Jason dÉon
Thomas Trappenberg
Sageev Oore
23
1
0
22 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training
  Methods
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes
Yann N. Dauphin
E. D. Cubuk
20
60
0
20 Oct 2021
1st Place Solution for the UVO Challenge on Image-based Open-World
  Segmentation 2021
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021
Yuming Du
Wen Guo
Yang Xiao
Vincent Lepetit
23
10
0
19 Oct 2021
Improving Robustness using Generated Data
Improving Robustness using Generated Data
Sven Gowal
Sylvestre-Alvise Rebuffi
Olivia Wiles
Florian Stimberg
D. A. Calian
Timothy A. Mann
36
293
0
18 Oct 2021
Learning Optimal Conformal Classifiers
Learning Optimal Conformal Classifiers
David Stutz
Krishnamurthy Dvijotham
Dvijotham
A. Cemgil
Arnaud Doucet
35
79
0
18 Oct 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
41
28
0
06 Oct 2021
Stochastic Contrastive Learning
Stochastic Contrastive Learning
Jason Ramapuram
Dan Busbridge
Xavier Suau
Russ Webb
BDL
SSL
44
3
0
01 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
212
487
0
01 Oct 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary
  Example Mining
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua
Yichi Zhang
Chuan Guo
Zhiru Zhang
G. E. Suh
OOD
39
15
0
29 Sep 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
35
28
0
20 Sep 2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Ambareesh Revanur
Vijay Kumar
D. Sharma
SSL
18
20
0
16 Sep 2021
Image Shape Manipulation from a Single Augmented Training Sample
Yael Vinker
Eliahu Horwitz
Nir Zabari
Yedid Hoshen
GAN
28
20
0
13 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy,
  Hyper-parameter and Architecture
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
Kaichen Zhou
Lanqing Hong
Shuailiang Hu
Fengwei Zhou
Binxin Ru
Jiashi Feng
Zhenguo Li
59
10
0
13 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
113
66
0
10 Sep 2021
SemiFed: Semi-supervised Federated Learning with Consistency and
  Pseudo-Labeling
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
FedML
29
56
0
21 Aug 2021
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