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

5 December 2019

Justin Gilmer

Balaji Lakshminarayanan

OOD

UQCV

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

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Title
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang C. L. P. Chen ObjD 20 50 0 18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 16 274 0 18 Mar 2021
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery Caleb Robinson Anthony Ortiz J. L. Ferres Brandon R. Anderson Daniel E. Ho 11 9 0 17 Mar 2021
Limitations of Post-Hoc Feature Alignment for Robustness Collin Burns Jacob Steinhardt OOD 14 22 0 10 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim S. Hwang Jinwoo Shin AAML 31 57 0 08 Mar 2021
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
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 63 980 0 03 Mar 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 23 35 0 27 Feb 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 34 6 0 26 Feb 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 20 89 0 22 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 48 472 0 18 Feb 2021
Enhancing Audio Augmentation Methods with Consistency Learning Turab Iqbal Karim Helwani A. Krishnaswamy Wenwu Wang 21 4 0 09 Feb 2021
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 16 18 0 10 Dec 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs Nikhil Kapoor C. Yuan Jonas Löhdefink Roland S. Zimmermann Serin Varghese Fabian Hüger Nico M. Schmidt Peter Schlicht Tim Fingscheidt AAML 24 4 0 02 Dec 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 25 113 0 23 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 25 32 0 20 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 43 24 0 19 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 16 226 0 26 Oct 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 18 90 0 22 Oct 2020
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 26 63 0 19 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification Oren Nuriel Sagie Benaim Lior Wolf 28 88 0 09 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 17 323 0 07 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 21 130 0 29 Sep 2020
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining Qing-Wu Guo Jingyang Sun Felix Juefei Xu L. Ma Xiaofei Xie Wei Feng Yang Liu 8 99 0 19 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 12 380 0 15 Sep 2020
Shift Equivariance in Object Detection M. Manfredi Yu Wang ObjD 17 18 0 13 Aug 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 8 153 0 16 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 530 0 01 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 31 457 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 60 1,664 0 29 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 30 238 0 19 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang Evan Shelhamer Shaoteng Liu Bruno A. Olshausen Trevor Darrell OOD 32 53 0 18 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 19 31 0 14 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 19 294 0 09 Jun 2020
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition S. Latif R. Rana Sara Khalifa Raja Jurdak Björn W. Schuller 33 28 0 18 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 21 492 0 10 May 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 35 120 0 26 Mar 2020
On Calibration of Mixup Training for Deep Neural Networks Juan Maroñas D. Ramos-Castro Roberto Paredes Palacios UQCV 25 6 0 22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 13 134 0 25 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 17 84 0 21 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 34 3,464 0 21 Jan 2020
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu K. Hong 26 57 0 17 Jan 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 19 64 0 16 Jan 2020
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 47 1,417 0 16 Jul 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016