Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation

6 June 2019

Raphael Gontijo-Lopes

Justin Gilmer

Papers citing "Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation"

50 / 123 papers shown

Title
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers George J. Siedel S. Vock Andrey Morozov Stefan Voss 11 3 0 27 Jun 2022
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting Rui Wang Robin G. Walters Rose Yu 22 13 0 19 Jun 2022
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing OOD 19 15 0 04 Jun 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
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 19 3 0 25 Apr 2022
Vision-Based American Sign Language Classification Approach via Deep Learning Nelly Elsayed Zag ElSayed Anthony Maida VLM 17 3 0 08 Apr 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 26 1 0 04 Mar 2022
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 35 107 0 02 Mar 2022
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 30 27 0 28 Jan 2022
PRIME: A few primitives can boost robustness to common corruptions Apostolos Modas Rahul Rade Guillermo Ortiz-Jiménez Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 20 41 0 27 Dec 2021
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 18 25 0 16 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 23 136 0 09 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 175 89 0 02 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 26 56 0 30 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Edgar Dobriban 38 15 0 16 Nov 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 118 42 0 29 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 27 31 0 27 Oct 2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs A. Baidya Joel Dapello J. DiCarlo Tiago Marques AAML 25 6 0 20 Oct 2021
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation Rowel Atienza ViT 17 9 0 20 Oct 2021
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions Chenyu Yi Siyuan Yang Haoliang Li Yap-Peng Tan Alex C. Kot 18 31 0 13 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 49 13 0 03 Oct 2021
Data Efficient Human Intention Prediction: Leveraging Neural Network Verification and Expert Guidance Ruixuan Liu Changliu Liu AAML 19 1 0 16 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mañdziuk 23 60 0 21 Jul 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation C. L. P. Chen Kerstin Hammernik C. Ouyang C. Qin Wenjia Bai Daniel Rueckert OOD 17 20 0 02 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 17 163 0 29 Jun 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation Chaithanya Kumar Mummadi Robin Hutmacher K. Rambach Evgeny Levinkov Thomas Brox J. H. Metzen TTA OOD 32 69 0 28 Jun 2021
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition Junxiao Shen John J. Dudley Per Ola Kristensson SLR GAN 30 23 0 27 May 2021
Balancing Robustness and Sensitivity using Feature Contrastive Learning Seungyeon Kim Daniel Glasner Srikumar Ramalingam Cho-Jui Hsieh Kishore Papineni Sanjiv Kumar 25 1 0 19 May 2021
Causally motivated Shortcut Removal Using Auxiliary Labels Maggie Makar Ben Packer D. Moldovan Davis W. Blalock Yoni Halpern Alexander DÁmour OOD CML 27 71 0 13 May 2021
Improving Robustness for Pose Estimation via Stable Heatmap Regression Yumeng Zhang Li Chen Yufeng Liu Xiaoyan Guo Wen Zheng Junhai Yong 19 4 0 08 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Towards Corruption-Agnostic Robust Domain Adaptation Yifan Xu Kekai Sheng Weiming Dong Baoyuan Wu Changsheng Xu Bao-Gang Hu 42 8 0 21 Apr 2021
Does enhanced shape bias improve neural network robustness to common corruptions? Chaithanya Kumar Mummadi Ranjitha Subramaniam Robin Hutmacher Julien Vitay Volker Fischer J. H. Metzen 21 40 0 20 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 22 18 0 16 Apr 2021
InAugment: Improving Classifiers via Internal Augmentation Moab Arar Ariel Shamir Amit H. Bermano 16 2 0 08 Apr 2021
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration Theodoros Tsiligkaridis Athanasios Tsiligkaridis 25 3 0 02 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations D. A. Calian Florian Stimberg Olivia Wiles Sylvestre-Alvise Rebuffi András Gyorgy Timothy A. Mann Sven Gowal AAML 17 41 0 02 Apr 2021
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks P. Shyam S. S. Sengar Kuk-Jin Yoon Kyung-soo Kim DiffM 15 13 0 10 Mar 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 20 89 0 22 Feb 2021
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
Efficient Certified Defenses Against Patch Attacks on Image Classifiers J. H. Metzen Maksym Yatsura AAML 23 40 0 08 Feb 2021
Discovering conservation laws from trajectories via machine learning Seungwoong Ha Hawoong Jeong PINN AI4CE 13 10 0 08 Feb 2021
Meta Adversarial Training against Universal Patches J. H. Metzen Nicole Finnie Robin Hutmacher OOD AAML 19 21 0 27 Jan 2021
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions Osama Mazhar Jens Kober AAML 13 5 0 13 Jan 2021
Dataset of Random Relaxations for Crystal Structure Search of Li-Si System Gowoon Cheon Lusann Yang Kevin McCloskey E. Reed E. D. Cubuk 15 0 0 05 Dec 2020
$Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations$ Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing 21 2 0 25 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing Texture Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Janit Anjaria Jonghyun Choi Abhinav Shrivastava Abhishek Sharma David Jacobs SSL 39 11 0 03 Nov 2020
Does Data Augmentation Benefit from Split BatchNorms Amil Merchant Barret Zoph E. D. Cubuk 15 9 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers Christoph Kamann Burkhard Güssefeld Robin Hutmacher J. H. Metzen Carsten Rother 14 18 0 12 Oct 2020