{"total":116,"rows":[{"id":"2211.11695","title":"Disentangled Representation Learning","created":"2022-11-21","cited_by_count":112,"area":null},{"id":"2403.07366","title":"Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors","created":"2024-03-12","cited_by_count":106,"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":"2310.12560","title":"Fast Model Debias with Machine Unlearning","created":"2023-10-19","cited_by_count":72,"area":"safety"},{"id":"2210.01725","title":"MEDFAIR: Benchmarking Fairness for Medical Imaging","created":"2022-10-04","cited_by_count":68,"area":null},{"id":"2206.10843","title":"Learning Debiased Classifier with Biased Committee","created":"2022-06-22","cited_by_count":51,"area":null},{"id":"2207.10077","title":"Discover and Mitigate Unknown Biases with Debiasing Alternate Networks","created":"2022-07-20","cited_by_count":47,"area":null},{"id":"2207.03162","title":"Harnessing Out-Of-Distribution Examples via Augmenting Content and Style","created":"2022-07-07","cited_by_count":43,"area":null},{"id":"2310.19035","title":"Does Invariant Graph Learning via Environment Augmentation Learn Invariance?","created":"2023-10-29","cited_by_count":42,"area":null},{"id":"2402.12715","title":"The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning","created":"2024-02-20","cited_by_count":41,"area":null},{"id":"2211.05568","title":"Unbiased Supervised Contrastive Learning","created":"2022-11-10","cited_by_count":40,"area":null},{"id":"2410.10855","title":"Core Knowledge Deficits in Multi-Modal Language Models","created":"2024-10-06","cited_by_count":38,"area":"mllm"},{"id":"2212.01433","title":"Avoiding spurious correlations via logit correction","created":"2022-12-02","cited_by_count":32,"area":null},{"id":"2207.10888","title":"FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification","created":"2022-07-22","cited_by_count":30,"area":null},{"id":"2211.02291","title":"SelecMix: Debiased Learning by Contradicting-pair Sampling","created":"2022-11-04","cited_by_count":29,"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":"2210.09766","title":"DAGAD: Data Augmentation for Graph Anomaly Detection","created":"2022-10-18","cited_by_count":20,"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":"2207.13378","title":"Identifying Hard Noise in Long-Tailed Sample Distribution","created":"2022-07-27","cited_by_count":19,"area":null},{"id":"2304.14252","title":"FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations","created":"2023-04-27","cited_by_count":18,"area":null},{"id":"2410.19265","title":"A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation","created":"2024-10-25","cited_by_count":17,"area":null},{"id":"2210.05247","title":"Training Debiased Subnetworks with Contrastive Weight Pruning","created":"2022-10-11","cited_by_count":16,"area":null},{"id":"2208.00781","title":"Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods","created":"2022-07-26","cited_by_count":15,"area":null},{"id":"2203.09860","title":"Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification","created":"2022-03-18","cited_by_count":14,"area":null},{"id":"2207.12258","title":"Equivariance and Invariance Inductive Bias for Learning from Insufficient Data","created":"2022-07-25","cited_by_count":14,"area":null},{"id":"2206.01125","title":"Prefix Conditioning Unifies Language and Label Supervision","created":"2022-06-02","cited_by_count":13,"area":null},{"id":"2308.00994","title":"SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems","created":"2023-08-02","cited_by_count":13,"area":null},{"id":"2405.05587","title":"Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse","created":"2024-05-09","cited_by_count":13,"area":null},{"id":"2307.10511","title":"General Debiasing for Multimodal Sentiment Analysis","created":"2023-07-20","cited_by_count":10,"area":null},{"id":"2311.15303","title":"Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement","created":"2023-11-26","cited_by_count":10,"area":null},{"id":"2405.16419","title":"Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers","created":"2024-05-26","cited_by_count":10,"area":null},{"id":"2112.01021","title":"Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation","created":"2021-12-02","cited_by_count":9,"area":null},{"id":"2410.10308","title":"LG-CAV: Train Any Concept Activation Vector with Language Guidance","created":"2024-10-14","cited_by_count":9,"area":"mllm"},{"id":"2503.09487","title":"Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness","created":"2025-03-12","cited_by_count":9,"area":null},{"id":"2111.13108","title":"Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment","created":"2021-11-25","cited_by_count":8,"area":null},{"id":"2210.05248","title":"Self-supervised debiasing using low rank regularization","created":"2022-10-11","cited_by_count":8,"area":null},{"id":"2310.06161","title":"Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness","created":"2023-10-09","cited_by_count":7,"area":null},{"id":"2208.03462","title":"Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization","created":"2022-08-06","cited_by_count":6,"area":null},{"id":"2403.19863","title":"DeNetDM: Debiasing by Network Depth Modulation","created":"2024-03-28","cited_by_count":6,"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":"2206.05846","title":"InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness","created":"2022-06-12","cited_by_count":5,"area":null},{"id":"2212.08356","title":"Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management","created":"2022-12-16","cited_by_count":5,"area":null},{"id":"2212.09498","title":"Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification","created":"2022-12-16","cited_by_count":5,"area":null},{"id":"2305.03691","title":"Mining bias-target Alignment from Voronoi Cells","created":"2023-05-05","cited_by_count":5,"area":null},{"id":"2505.14449","title":"Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach","created":"2025-05-20","cited_by_count":5,"area":null},{"id":"2311.16176","title":"Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles","created":"2023-11-23","cited_by_count":4,"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":"2405.18148","title":"Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2406.06609","title":"Mitigating Bias in Dataset Distillation","created":"2024-06-06","cited_by_count":4,"area":null},{"id":"2503.13236","title":"Gradient Extrapolation for Debiased Representation Learning","created":"2025-03-17","cited_by_count":4,"area":null},{"id":"2504.20020","title":"Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models","created":"2025-04-28","cited_by_count":4,"area":null},{"id":"2512.20233","title":"How I Met Your Bias: Investigating Bias Amplification in Diffusion Models","created":"2025-12-23","cited_by_count":4,"area":"diffusion"},{"id":"2210.04491","title":"A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis","created":"2022-10-10","cited_by_count":3,"area":null},{"id":"2301.03844","title":"Look Beyond Bias with Entropic Adversarial Data Augmentation","created":"2023-01-10","cited_by_count":3,"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":"2307.04036","title":"Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations","created":"2023-07-08","cited_by_count":3,"area":null},{"id":"2308.10005","title":"Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts","created":"2023-08-19","cited_by_count":3,"area":null},{"id":"2411.00360","title":"A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective","created":"2024-11-01","cited_by_count":3,"area":null},{"id":"2502.09564","title":"Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing","created":"2025-02-13","cited_by_count":3,"area":"diffusion"},{"id":"2503.08010","title":"SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation","created":"2025-03-11","cited_by_count":3,"area":null},{"id":"2506.04652","title":"EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2204.12941","title":"Unsupervised Learning of Unbiased Visual Representations","created":"2022-04-26","cited_by_count":2,"area":null},{"id":"2302.05807","title":"Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play","created":"2023-02-11","cited_by_count":2,"area":null},{"id":"2305.04043","title":"Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber","created":"2023-05-06","cited_by_count":2,"area":null},{"id":"2311.09262","title":"Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement","created":"2023-11-15","cited_by_count":2,"area":null},{"id":"2312.03044","title":"REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training","created":"2023-12-05","cited_by_count":2,"area":null},{"id":"2312.03577","title":"Improving Bias Mitigation through Bias Experts in Natural Language Understanding","created":"2023-12-06","cited_by_count":2,"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":"2401.11713","title":"Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council","created":"2024-01-22","cited_by_count":2,"area":null},{"id":"2403.14200","title":"Debiasing surgeon: fantastic weights and how to find them","created":"2024-03-21","cited_by_count":2,"area":null},{"id":"2406.17246","title":"Beyond Silence: Bias Analysis through Loss and Asymmetric Approach in Audio Anti-Spoofing","created":"2024-06-25","cited_by_count":2,"area":null},{"id":"2407.17449","title":"Looking at Model Debiasing through the Lens of Anomaly Detection","created":"2024-07-24","cited_by_count":2,"area":null},{"id":"2411.01757","title":"Mitigating Spurious Correlations via Disagreement Probability","created":"2024-11-04","cited_by_count":2,"area":null},{"id":"2503.02988","title":"Out-of-Distribution Generalization on Graphs via Progressive Inference","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2505.22829","title":"Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2507.20284","title":"Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation","created":"2025-07-27","cited_by_count":2,"area":null},{"id":"2508.08570","title":"Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation","created":"2025-08-12","cited_by_count":2,"area":"mllm"},{"id":"2509.24005","title":"Does Weak-to-strong Generalization Happen under Spurious Correlations?","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2206.03680","title":"Improving Evaluation of Debiasing in Image Classification","created":"2022-06-08","cited_by_count":1,"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":"2311.07141","title":"SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering","created":"2023-11-13","cited_by_count":1,"area":null},{"id":"2311.12836","title":"AI-based association analysis for medical imaging using latent-space geometric confounder correction","created":"2023-10-03","cited_by_count":1,"area":null},{"id":"2401.14696","title":"Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening","created":"2024-01-26","cited_by_count":1,"area":null},{"id":"2406.06134","title":"DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection","created":"2024-06-10","cited_by_count":1,"area":"diffusion"},{"id":"2408.10755","title":"Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation","created":"2024-08-20","cited_by_count":1,"area":null},{"id":"2410.15094","title":"CosFairNet:A Parameter-Space based Approach for Bias Free Learning","created":"2024-10-19","cited_by_count":1,"area":null},{"id":"2503.08368","title":"Debiased Prompt Tuning in Vision-Language Model without Annotations","created":"2025-03-11","cited_by_count":1,"area":"mllm"},{"id":"2506.06071","title":"CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition","created":"2025-06-06","cited_by_count":1,"area":null},{"id":"2511.06293","title":"Achieving Fairness Without Harm via Selective Demographic Experts","created":"2025-11-09","cited_by_count":1,"area":null},{"id":"2511.08711","title":"Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification","created":"2025-11-11","cited_by_count":1,"area":"diffusion"},{"id":"2602.03895","title":"Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2602.21773","title":"Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias","created":"2026-02-25","cited_by_count":1,"area":"safety"},{"id":"2605.28450","title":"BiasEdit: A Training-Free Bias-Detect-and-Edit Framework for Learning Fair Visual Classifiers","created":"2026-05-27","cited_by_count":1,"area":null},{"id":"2211.07774","title":"Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity","created":"2022-11-14","cited_by_count":0,"area":null},{"id":"2302.11414","title":"Delving into Identify-Emphasize Paradigm for Combating Unknown Bias","created":"2023-02-22","cited_by_count":0,"area":null},{"id":"2303.14411","title":"Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics","created":"2023-03-25","cited_by_count":0,"area":null},{"id":"2402.03577","title":"Revisiting the Dataset Bias Problem from a Statistical Perspective","created":"2024-02-05","cited_by_count":0,"area":null},{"id":"2403.02363","title":"Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity","created":"2024-03-04","cited_by_count":0,"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":"2405.15240","title":"Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution","created":"2024-05-24","cited_by_count":0,"area":null}],"next_cursor":"100"}