{"total":21,"rows":[{"id":"2108.13624","title":"Towards Out-Of-Distribution Generalization: A Survey","created":"2021-08-31","cited_by_count":436,"area":null},{"id":"2201.12872","title":"Discovering Invariant Rationales for Graph Neural Networks","created":"2022-01-30","cited_by_count":188,"area":null},{"id":"2202.02466","title":"Handling Distribution Shifts on Graphs: An Invariance Perspective","created":"2022-02-05","cited_by_count":164,"area":null},{"id":"2106.06333","title":"Invariant Information Bottleneck for Domain Generalization","created":"2021-06-11","cited_by_count":86,"area":null},{"id":"2106.02890","title":"Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?","created":"2021-06-05","cited_by_count":75,"area":null},{"id":"2203.05818","title":"ZIN: When and How to Learn Invariance Without Environment Partition?","created":"2022-03-11","cited_by_count":58,"area":null},{"id":"2301.09819","title":"Model Agnostic Sample Reweighting for Out-of-Distribution Learning","created":"2023-01-24","cited_by_count":44,"area":null},{"id":"2103.11163","title":"An Empirical Framework for Domain Generalization in Clinical Settings","created":"2021-03-20","cited_by_count":32,"area":null},{"id":"2106.09913","title":"Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments","created":"2021-06-18","cited_by_count":30,"area":null},{"id":"2109.02038","title":"NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization","created":"2021-09-05","cited_by_count":28,"area":null},{"id":"2106.03783","title":"An Information-theoretic Approach to Distribution Shifts","created":"2021-06-07","cited_by_count":25,"area":null},{"id":"2303.00442","title":"Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization","created":"2023-03-01","cited_by_count":20,"area":null},{"id":"2109.11990","title":"Optimization-based Causal Estimation from Heterogenous Environments","created":"2021-09-24","cited_by_count":16,"area":null},{"id":"2203.15566","title":"Core Risk Minimization using Salient ImageNet","created":"2022-03-28","cited_by_count":15,"area":null},{"id":"2104.00170","title":"Are Bias Mitigation Techniques for Deep Learning Effective?","created":"2021-04-01","cited_by_count":14,"area":null},{"id":"2101.08521","title":"Out-of-Distribution Generalization Analysis via Influence Function","created":"2021-01-21","cited_by_count":11,"area":null},{"id":"2310.05348","title":"Continuous Invariance Learning","created":"2023-10-09","cited_by_count":6,"area":null},{"id":"2103.15933","title":"Learning Under Adversarial and Interventional Shifts","created":"2021-03-29","cited_by_count":3,"area":null},{"id":"2407.21028","title":"Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design","created":"2024-07-15","cited_by_count":3,"area":null},{"id":"2408.14126","title":"Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule","created":"2024-08-26","cited_by_count":1,"area":null},{"id":"2208.07798","title":"Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization","created":"2022-08-16","cited_by_count":0,"area":null}],"next_cursor":null}