corruption robustness

Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions ICCV 2023 Temporal Coherent Test Time Optimization for Robust Video Classification ICLR 2023 Benchmarking and Analyzing Point Cloud Classification under Corruptions ICML 2022 Defensive Patches for Robust Recognition in the Physical World CVPR 2022 VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization AAAI 2022 Corruption-robust exploration in episodic reinforcement learning COLT 2021 Does enhanced shape bias improve neural network robustness to common corruptions? ICLR 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improving Robustness Against Common Corruptions With Frequency Biased Models ICCV 2021 On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness NeurIPS 2021 Revisiting Batch Normalization for Improving Corruption Robustness WACV 2021 Improving robustness against common corruptions by covariate shift adaptation NeurIPS 2020 Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019 Benchmarking Neural Network Robustness to Common Corruptions and Perturbations ICLR 2019