Improving Out-of-Distribution Robustness via Selective Augmentation

2 January 2022

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

50 / 54 papers shown

Title
Mitigating Spurious Correlations with Causal Logit Perturbation Xiaoling Zhou Wei Ye Rui Xie Shikun Zhang CML 12 0 0 21 May 2025
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces Ruoqi Wang Haitao Wang Shaojie Guo Qiong Luo OOD 21 0 0 18 May 2025
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 33 0 0 11 May 2025
Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation T. Mathai Sungwon Lee Thomas C. Shen Zhiyong Lu Ronald M. Summers 43 0 0 07 Apr 2025
Joint Source-Environment Adaptation for Deep Learning-Based Underwater Acoustic Source Ranging Dariush Kari Andrew C. Singer 44 2 0 30 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 57 0 0 22 Mar 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 71 0 0 10 Feb 2025
Distributionally robust self-supervised learning for tabular data Shantanu Ghosh Tiankang Xie Mikhail Kuznetsov OOD 29 1 0 11 Oct 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 38 0 0 04 Sep 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 31 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 67 0 0 01 Jul 2024
Autoencoder based approach for the mitigation of spurious correlations Srinitish Srinivasan Karthik Seemakurthy 38 0 0 27 Jun 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 46 0 0 21 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 73 0 0 03 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 59 0 0 30 May 2024
Test-Time Model Adaptation with Only Forward Passes Shuaicheng Niu Chunyan Miao Guohao Chen Pengcheng Wu Peilin Zhao TTA 48 19 0 02 Apr 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 36 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 46 4 0 12 Mar 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 39 6 0 26 Jan 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 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 30 2 0 31 Oct 2023
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology Peixiang Huang Songtao Zhang Yulu Gan Rui Xu Rongqi Zhu Wenkang Qin Limei Guo Shan Jiang Lin Luo 38 4 0 31 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi Suchi Saria David M. Blei OOD CML 34 7 0 19 Oct 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 28 5 0 13 Sep 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 34 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 22 5 0 19 Jun 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts Shaokun Zhang Yiran Wu Zhonghua Zheng Qingyun Wu Chi Wang OOD 51 7 0 28 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 35 6 0 26 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 37 1 0 25 May 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 205 30 0 09 Mar 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 57 8 0 06 Feb 2023
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 30 29 0 02 Dec 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 25 47 0 27 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 43 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 28 6 0 07 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 334 29 0 04 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 31 18 0 31 Oct 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 33 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 33 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 35 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 56 34 0 19 Sep 2022
On-Device Domain Generalization Kaiyang Zhou Yuanhan Zhang Yuhang Zang Jingkang Yang Chen Change Loy Ziwei Liu OOD 35 6 0 15 Sep 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 33 34 0 29 Jun 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur Emre Kıcıman Amit Sharma UQCV OOD 30 25 0 15 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 39 317 0 06 Apr 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Zou OOD 40 82 0 14 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 215 64 0 07 Feb 2022
Gradient Matching for Domain Generalization Yuge Shi Jeffrey S. Seely Philip Torr Siddharth Narayanaswamy Awni Y. Hannun Nicolas Usunier Gabriel Synnaeve OOD 227 246 0 20 Apr 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 982 0 03 Mar 2021