Improving robustness against common corruptions by covariate shift adaptation

30 June 2020

Wieland Brendel

Papers citing "Improving robustness against common corruptions by covariate shift adaptation"

49 / 99 papers shown

Title
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 28 5 0 04 Nov 2022
Noise Injection as a Probe of Deep Learning Dynamics Noam Levi I. Bloch M. Freytsis T. Volansky 37 2 0 24 Oct 2022
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow David Osowiechi G. A. V. Hakim Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers OOD 27 21 0 20 Oct 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation Jun-Kun Wang Andre Wibisono 35 7 0 18 Oct 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Limin Chen TTA 27 1 0 17 Oct 2022
Test-Time Adaptation with Principal Component Analysis Thomas Cordier Victor Bouvier Gilles Hénaff C´eline Hudelot TTA 25 1 0 13 Sep 2022
GraphTTA: Test Time Adaptation on Graph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Yongqian Li OOD 36 9 0 19 Aug 2022
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts Tommie Kerssies Mert Kilickaya Joaquin Vanschoren OOD TTA 30 7 0 18 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani Oliver Hahn Eduard Zamfir Nikita Araslanov Daniel Cremers Stefan Roth OOD TTA VLM 32 6 0 10 Aug 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 27 120 0 10 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization X. Zhang Ying-Cong Chen OOD 21 5 0 03 Aug 2022
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization Haolin Pan Yong Guo Qinyi Deng Hao-Fan Yang Yiqun Chen Jian Chen SSL 18 19 0 30 Jul 2022
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation Cristiano Saltori E. Krivosheev Stéphane Lathuilière N. Sebe Fabio Galasso G. Fiameni Elisa Ricci Fabio Poiesi 3DPC 36 29 0 20 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 38 56 0 08 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 34 41 0 04 Jul 2022
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation Ji-Sun Moon Debasmit Das C. S. George Lee 27 6 0 24 Jun 2022
Simple Cues Lead to a Strong Multi-Object Tracker Jenny Seidenschwarz Guillem Brasó Victor Castro Serrano Ismail Elezi Laura Leal-Taixé VOT 41 48 0 09 Jun 2022
Test-time Batch Normalization Tao Yang Shenglong Zhou Yuwang Wang Yan Lu Nanning Zheng OOD 54 9 0 20 May 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 18 1 0 30 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 28 308 0 06 Apr 2022
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation Sohyun Lee Taeyoung Son Suha Kwak 45 72 0 04 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 30 14 0 30 Mar 2022
On the Road to Online Adaptation for Semantic Image Segmentation Riccardo Volpi Pau de Jorge Diane Larlus G. Csurka OffRL 37 25 0 30 Mar 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 54 395 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 36 3 0 21 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 13 18 0 03 Mar 2022
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation Marvin Klingner Mouadh Ayache Tim Fingscheidt 16 12 0 02 Mar 2022
Improving Robustness by Enhancing Weak Subnets Yong Guo David Stutz Bernt Schiele AAML 24 15 0 30 Jan 2022
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 33 21 0 01 Dec 2021
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 38 12 0 29 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 28 0 0 18 Nov 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 40 300 0 18 Oct 2021
Test-time Batch Statistics Calibration for Covariate Shift Fuming You Jingjing Li Zhou Zhao OOD 20 54 0 06 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
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning Preethi Lahoti Krishna P. Gummadi G. Weikum 34 3 0 09 Sep 2021
SimROD: A Simple Adaptation Method for Robust Object Detection Rindranirina Ramamonjison Amin Banitalebi-Dehkordi Xinyu Kang Xiaolong Bai Yong Zhang ObjD TTA 26 53 0 28 Jul 2021
Built-in Elastic Transformations for Improved Robustness Sadaf Gulshad Ivan Sosnovik A. Smeulders AAML 22 1 0 20 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 22 50 0 12 Jul 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
Improved OOD Generalization via Adversarial Training and Pre-training Mingyang Yi Lu Hou Jiacheng Sun Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma VLM 23 83 0 24 May 2021
Post-Training Sparsity-Aware Quantization Gil Shomron F. Gabbay Samer Kurzum U. Weiser MQ 36 33 0 23 May 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David A. Wagner Trevor Darrell AAML 26 26 0 18 May 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 20 1 0 05 Apr 2021
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations Chaitanya K. Ryali D. Schwab Ari S. Morcos SSL 32 9 0 23 Mar 2021
Limitations of Post-Hoc Feature Alignment for Robustness Collin Burns Jacob Steinhardt OOD 14 22 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
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 51 56 0 21 Dec 2020
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang Evan Shelhamer Shaoteng Liu Bruno A. Olshausen Trevor Darrell OOD 40 53 0 18 Jun 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016