{"total":15,"rows":[{"id":"2107.01372","title":"Learning Debiased Representation via Disentangled Feature Augmentation","created":"2021-07-03","cited_by_count":116,"area":null},{"id":"2209.14107","title":"Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure","created":"2022-09-28","cited_by_count":83,"area":null},{"id":"2108.10008","title":"BiaSwap: Removing dataset bias with bias-tailored swapping augmentation","created":"2021-08-23","cited_by_count":70,"area":null},{"id":"2206.10843","title":"Learning Debiased Classifier with Biased Committee","created":"2022-06-22","cited_by_count":51,"area":null},{"id":"2310.18555","title":"Group Robust Classification Without Any Group Information","created":"2023-10-28","cited_by_count":25,"area":null},{"id":"2205.15704","title":"Mitigating Dataset Bias by Using Per-sample Gradient","created":"2022-05-31","cited_by_count":22,"area":null},{"id":"2205.14594","title":"Revisiting the Importance of Amplifying Bias for Debiasing","created":"2022-05-29","cited_by_count":19,"area":null},{"id":"2401.07567","title":"Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video","created":"2024-01-15","cited_by_count":7,"area":null},{"id":"2409.03303","title":"Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2404.19250","title":"Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair","created":"2024-04-30","cited_by_count":4,"area":null},{"id":"2305.19671","title":"Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss","created":"2023-05-31","cited_by_count":3,"area":null},{"id":"2312.08288","title":"Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2212.01189","title":"Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels","created":"2022-12-01","cited_by_count":1,"area":null},{"id":"2403.14140","title":"Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2506.11653","title":"DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation","created":"2025-06-13","cited_by_count":0,"area":null}],"next_cursor":null}