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1912.02781
Cited By
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
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Papers citing
"AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty"
50 / 246 papers shown
Title
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
20
1
0
16 Oct 2022
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces
Eric N. D. Nguyen
Karan Goel
Albert Gu
Gordon W. Downs
Preey Shah
Tri Dao
S. Baccus
Christopher Ré
VLM
22
38
0
12 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping
Micah Goldblum
Gowthami Somepalli
Ravid Shwartz-Ziv
Tom Goldstein
A. Wilson
24
35
0
12 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
30
26
0
10 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Yinpeng Dong
Shouwei Ruan
Hang Su
Cai Kang
Xingxing Wei
Junyi Zhu
AAML
28
50
0
08 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
23
8
0
06 Oct 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
Hui Chen
Wei Han
Diyi Yang
Soujanya Poria
10
12
0
12 Sep 2022
Impact of Colour Variation on Robustness of Deep Neural Networks
Chen-Hao Hu
Weiwen Shi
AAML
OOD
14
1
0
02 Sep 2022
Calibrated Selective Classification
Adam Fisch
Tommi Jaakkola
Regina Barzilay
21
16
0
25 Aug 2022
Dynamic Template Initialization for Part-Aware Person Re-ID
Kalana Abeywardena
Shechem Sumanthiran
Sanoojan Baliah
Nadarasar Bahavan
Nalith Udugampola
A. Pasqual
Chamira U. S. Edussooriya
Ranga Rodrigo
3DH
18
2
0
24 Aug 2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels
E. Santana
G. Carneiro
F. Cordeiro
NoLa
24
6
0
23 Aug 2022
Shift Variance in Scene Text Detection
M. Glitzner
Jan-Hendrik Neudeck
Philipp Härtinger
18
0
0
19 Aug 2022
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding
M. Heisler
Amin Banitalebi-Dehkordi
Yong Zhang
ObjD
14
2
0
15 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
Sérgio A. Balanya
Juan Maroñas
Daniel Ramos
OOD
35
13
0
31 Jul 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
AAML
20
0
0
26 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance
Xiaoliang Liu
S. Furao
Jian Zhao
Changhai Nie
AAML
13
1
0
21 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
51
71
0
19 Jul 2022
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers
Jihao Liu
B. Liu
Hang Zhou
Hongsheng Li
Yu Liu
ViT
10
66
0
18 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry Schiappa
Shruti Vyas
Hamid Palangi
Y. S. Rawat
Vibhav Vineet
VLM
120
17
0
05 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa
Naman Biyani
Prudvi Kamtam
Shruti Vyas
Hamid Palangi
Vibhav Vineet
Y. S. Rawat
AAML
24
24
0
04 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zhangyang Wang
28
55
0
04 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Philip H. S. Torr
P. Dokania
UQCV
27
34
0
29 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
39
26
0
06 Jun 2022
Saliency Map Based Data Augmentation
Jalal Al-Afandi
B. Magyar
András Horváth
11
0
0
29 May 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
A. Maraval
Matthieu Zimmer
Antoine Grosnit
Rasul Tutunov
Jun Wang
H. Ammar
25
2
0
27 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
32
3
0
25 May 2022
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
Bruno A. Krinski
Daniel V. Ruiz
E. Todt
3DPC
32
2
0
19 May 2022
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDL
CML
30
26
0
16 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Alvin Chan
Yew-Soon Ong
Clement Tan
AAML
22
13
0
09 May 2022
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Ilke Çugu
Massimiliano Mancini
Yanbei Chen
Zeynep Akata
OOD
11
44
0
27 Apr 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions
Rui Tian
Zuxuan Wu
Qi Dai
Han Hu
Yu-Gang Jiang
ViT
AAML
21
4
0
26 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
11
22
0
09 Apr 2022
Does Robustness on ImageNet Transfer to Downstream Tasks?
Yutaro Yamada
Mayu Otani
OOD
18
27
0
08 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
26
307
0
06 Apr 2022
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
Yuyang Zhao
Zhun Zhong
Na Zhao
N. Sebe
G. Lee
39
99
0
06 Apr 2022
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition
Jianfei Yang
Han Zou
Lihua Xie
AAML
HAI
22
20
0
04 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Wen Li
AAML
33
8
0
02 Apr 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Yuliang Zou
Zizhao Zhang
Chun-Liang Li
Han Zhang
Tomas Pfister
Jia-Bin Huang
TTA
OOD
27
14
0
30 Mar 2022
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
39
394
0
25 Mar 2022
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices
K. Bhardwaj
James Diffenderfer
B. Kailkhura
Maya Gokhale
AAML
OOD
31
3
0
21 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
42
29
0
15 Mar 2022
Deep AutoAugment
Yu Zheng
Z. Zhang
Shen Yan
Mi Zhang
ViT
15
26
0
11 Mar 2022
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness
Yiqi Zhong
Lei Wu
Xianming Liu
Junjun Jiang
AAML
16
9
0
10 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels
Shikun Li
Xiaobo Xia
Shiming Ge
Tongliang Liu
NoLa
19
172
0
08 Mar 2022
Regularising for invariance to data augmentation improves supervised learning
Aleksander Botev
Matthias Bauer
Soham De
30
14
0
07 Mar 2022
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
35
107
0
02 Mar 2022
Adversarially Robust Learning with Tolerance
H. Ashtiani
Vinayak Pathak
Ruth Urner
AAML
18
9
0
02 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Teppei Suzuki
ViT
13
48
0
25 Feb 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
Ryan Soklaski
Michael Yee
Theodoros Tsiligkaridis
AAML
14
14
0
24 Feb 2022
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