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AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

5 December 2019
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
    OOD
    UQCV
ArXivPDFHTML

Papers citing "AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty"

50 / 246 papers shown
Title
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain
  Generalization
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
46
10
0
02 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System
  Inconsistency
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency
Yan Wang
Yuhang Li
Ruihao Gong
Aishan Liu
Yanfei Wang
...
Yongqiang Yao
Yunchen Zhang
Tianzi Xiao
F. Yu
Xianglong Liu
AAML
32
0
0
01 Jul 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning
  and Diffusion Priors
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul S. Scotti
Atmadeep Banerjee
J. Goode
Stepan Shabalin
A. Nguyen
...
Nathalie Verlinde
Elad Yundler
David Weisberg
K. A. Norman
Tanishq Mathew Abraham
DiffM
36
106
0
29 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient
  Visual Reinforcement Learning
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
42
10
0
25 May 2023
Dual Focal Loss for Calibration
Dual Focal Loss for Calibration
Linwei Tao
Minjing Dong
Chang Xu
UQCV
37
26
0
23 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General
  Robustness
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAML
OOD
26
1
0
15 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using
  Corrupted Multimodal Data
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data
Arthur Josi
Mahdi Alehdaghi
Rafael M. O. Cruz
Eric Granger
16
2
0
29 Apr 2023
Augmentation-based Domain Generalization for Semantic Segmentation
Augmentation-based Domain Generalization for Semantic Segmentation
Manuel Schwonberg
Fadoua El Bouazati
Nico M. Schmidt
Hanno Gottschalk
37
7
0
24 Apr 2023
Assessment Framework for Deepfake Detection in Real-world Situations
Assessment Framework for Deepfake Detection in Real-world Situations
Yuhang Lu
Touradj Ebrahimi
CVBM
19
17
0
12 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
28
40
0
07 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of
  Deep Nets
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
Jonas Ngnawé
Marianne Abémgnigni Njifon
Jonathan Heek
Yann N. Dauphin
OOD
16
4
0
06 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving
  Regularization for Improving Adversarial Robustness
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
Wei Wei
Jiahuan Zhou
Yingying Wu
AAML
13
0
0
29 Mar 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che
Si Chen
Haoxing Chen
38
16
0
27 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
42
26
0
24 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
A Bag-of-Prototypes Representation for Dataset-Level Applications
Wei-Chih Tu
Weijian Deng
Tom Gedeon
Liang Zheng
38
9
0
23 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu
Yingwei Pan
Guang-Sheng Chen
Ting Yao
Changjun Jiang
Tao Mei
28
20
0
13 Mar 2023
Rethinking Confidence Calibration for Failure Prediction
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
14
39
0
06 Mar 2023
Unproportional mosaicing
Unproportional mosaicing
Vojtech Molek
P. Hurtík
Pavel Vlasánek
D. Adamczyk
19
1
0
03 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
X. Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
27
72
0
28 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OOD
LLMSV
26
5
0
22 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep
  Learning Models
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
26
6
0
20 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
26
176
0
19 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Jaeyoung Kim
Dongbin Na
Sungchul Choi
Sungbin Lim
VLM
21
5
0
13 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDL
UQCV
6
5
0
13 Feb 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Hyesu Lim
Byeonggeun Kim
Jaegul Choo
Sungha Choi
TTA
24
85
0
10 Feb 2023
Certified Robust Control under Adversarial Perturbations
Certified Robust Control under Adversarial Perturbations
Jinghan Yang
Hunmin Kim
Wenbin Wan
N. Hovakimyan
Yevgeniy Vorobeychik
AAML
14
1
0
04 Feb 2023
Demystifying Disagreement-on-the-Line in High Dimensions
Demystifying Disagreement-on-the-Line in High Dimensions
Dong-Hwan Lee
Behrad Moniri
Xinmeng Huang
Edgar Dobriban
Hamed Hassani
19
8
0
31 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
24
10
0
30 Jan 2023
CADA-GAN: Context-Aware GAN with Data Augmentation
CADA-GAN: Context-Aware GAN with Data Augmentation
Sofie Daniels
Jiugeng Sun
Jiaqing Xie
28
0
0
21 Jan 2023
Benchmarking Robustness in Neural Radiance Fields
Benchmarking Robustness in Neural Radiance Fields
Chen Wang
Angtian Wang
Junbo Li
Alan Yuille
Cihang Xie
32
11
0
10 Jan 2023
Style-Hallucinated Dual Consistency Learning: A Unified Framework for
  Visual Domain Generalization
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Yuyang Zhao
Zhun Zhong
Na Zhao
N. Sebe
G. Lee
27
29
0
18 Dec 2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted
  Attacks
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
Anqi Zhao
Tong Chu
Yahao Liu
Wen Li
Jingjing Li
Lixin Duan
AAML
21
16
0
18 Dec 2022
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge
  Management
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management
Jun S. Song
Kwanyong Park
Inkyu Shin
Sanghyun Woo
Chaoning Zhang
In So Kweon
TTA
24
6
0
16 Dec 2022
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
35
5
0
09 Dec 2022
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time
  Adaptation
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Yulu Gan
Yan Bai
Yihang Lou
Xianzheng Ma
Renrui Zhang
Nian Shi
Lin Luo
OOD
VLM
25
91
0
08 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting
  Data Augmentation
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation
Zhendong Liu
Wenyu Jiang
Min Guo
Chongjun Wang
AAML
21
1
0
08 Dec 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
24
23
0
29 Nov 2022
ActMAD: Activation Matching to Align Distributions for
  Test-Time-Training
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
M. Jehanzeb Mirza
Pol Jané Soneira
W. Lin
Mateusz Koziñski
Horst Possegger
Horst Bischof
VLM
TTA
31
24
0
23 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
34
1
0
21 Nov 2022
Layer-Stack Temperature Scaling
Layer-Stack Temperature Scaling
Amr Khalifa
Michael C. Mozer
Hanie Sedghi
Behnam Neyshabur
Ibrahim M. Alabdulmohsin
75
2
0
18 Nov 2022
Comparison of Uncertainty Quantification with Deep Learning in Time
  Series Regression
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression
Levente Foldesi
Matias Valdenegro-Toro
UQCV
19
3
0
11 Nov 2022
Noise Injection Node Regularization for Robust Learning
Noise Injection Node Regularization for Robust Learning
N. Levi
I. Bloch
M. Freytsis
T. Volansky
AI4CE
25
2
0
27 Oct 2022
Domain Adaptive Object Detection for Autonomous Driving under Foggy
  Weather
Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather
Jinlong Li
Runsheng Xu
Jin Ma
Q. Zou
Jiaqi Ma
Hongkai Yu
TTA
36
67
0
27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
29
4
0
27 Oct 2022
Decoupled Mixup for Generalized Visual Recognition
Decoupled Mixup for Generalized Visual Recognition
Haozhe Liu
Wentian Zhang
Jinheng Xie
Haoqian Wu
Bing Li
Ziqi Zhang
Yuexiang Li
Yawen Huang
Bernard Ghanem
Yefeng Zheng
22
1
0
26 Oct 2022
ConfMix: Unsupervised Domain Adaptation for Object Detection via
  Confidence-based Mixing
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
Giulio Mattolin
Luca Zanella
Elisa Ricci
Yiming Wang
ObjD
27
40
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
34
116
0
20 Oct 2022
Intra-Source Style Augmentation for Improved Domain Generalization
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li
Dan Zhang
M. Keuper
Anna Khoreva
26
32
0
18 Oct 2022
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient
  Sensorimotor Policy Learning
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning
Andrea Tagliabue
Jonathan P. How
19
5
0
18 Oct 2022
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