Improving Out-of-Distribution Robustness via Selective Augmentation

2 January 2022

Papers citing "Improving Out-of-Distribution Robustness via Selective Augmentation"

36 / 36 papers shown

Title
Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation T. Mathai Sungwon Lee Thomas C. Shen Zhiyong Lu Ronald M. Summers 32 0 0 07 Apr 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 55 0 0 22 Mar 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 54 0 0 10 Feb 2025
Distributionally robust self-supervised learning for tabular data Shantanu Ghosh Tiankang Xie Mikhail Kuznetsov OOD 19 0 0 11 Oct 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 36 0 0 04 Sep 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 29 1 0 05 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 60 0 0 01 Jul 2024
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images Parastoo Sotoudeh Sharifi M. Omair Ahmad M. N. S. Swamy MoMe OOD 34 0 0 21 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 65 0 0 03 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 46 0 0 30 May 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 29 1 0 01 Apr 2024
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 33 4 0 12 Mar 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 53 1 0 02 Nov 2023
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization Vaibhav Khamankar Sutanu Bera Saumik Bhattacharya Debashis Sen P. Biswas 16 2 0 31 Oct 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 14 5 0 19 Jun 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts Shaokun Zhang Yiran Wu Zhonghua Zheng Qingyun Wu Chi Wang OOD 38 7 0 28 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 22 1 0 25 May 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 37 8 0 06 Feb 2023
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 16 47 0 27 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 22 1 0 22 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Jindong Wang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 14 6 0 07 Nov 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 16 2 0 24 Oct 2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems Parikshit Bansal Yashoteja Prabhu Emre Kıcıman Amit Sharma CML OOD 25 0 0 07 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! Stefan Smeu Elena Burceanu Andrei Liviu Nicolicioiu Emanuela Haller 16 4 0 06 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 48 34 0 19 Sep 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 25 34 0 29 Jun 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 21 306 0 06 Apr 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Y. Zou OOD 35 81 0 14 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 203 64 0 07 Feb 2022
Gradient Matching for Domain Generalization Yuge Shi Jeffrey S. Seely Philip H. S. Torr Siddharth Narayanaswamy Awni Y. Hannun Nicolas Usunier Gabriel Synnaeve OOD 205 246 0 20 Apr 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 21 979 0 03 Mar 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 369 0 09 May 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 204 402 0 12 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 215 898 0 02 Mar 2020