{"total":117,"rows":[{"id":"2110.00530","title":"A survey on datasets for fairness-aware machine learning","created":"2021-10-01","cited_by_count":157,"area":null},{"id":"2308.10149","title":"A Survey on Fairness in Large Language Models","created":"2023-08-20","cited_by_count":95,"area":null},{"id":"2108.05233","title":"EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks","created":"2021-08-11","cited_by_count":92,"area":null},{"id":"2208.11857","title":"Shortcut Learning of Large Language Models in Natural Language Understanding","created":"2022-08-25","cited_by_count":85,"area":null},{"id":"2206.14754","title":"Distilling Model Failures as Directions in Latent Space","created":"2022-06-29","cited_by_count":82,"area":null},{"id":"2104.02821","title":"Towards Measuring Fairness in AI: the Casual Conversations Dataset","created":"2021-04-06","cited_by_count":80,"area":null},{"id":"2204.09888","title":"Fairness in Graph Mining: A Survey","created":"2022-04-21","cited_by_count":76,"area":null},{"id":"2204.03632","title":"The Effects of Regularization and Data Augmentation are Class Dependent","created":"2022-04-07","cited_by_count":67,"area":null},{"id":"2106.12674","title":"Fairness via Representation Neutralization","created":"2021-06-23","cited_by_count":63,"area":null},{"id":"2206.03426","title":"Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage","created":"2022-06-07","cited_by_count":61,"area":null},{"id":"2203.02110","title":"FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis","created":"2022-03-04","cited_by_count":59,"area":null},{"id":"2111.01872","title":"Towards Fairness-Aware Federated Learning","created":"2021-11-02","cited_by_count":58,"area":null},{"id":"2101.02833","title":"Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition","created":"2021-01-08","cited_by_count":48,"area":null},{"id":"2112.13214","title":"NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification","created":"2021-12-25","cited_by_count":42,"area":null},{"id":"2105.09829","title":"Personalized Counterfactual Fairness in Recommendation","created":"2021-05-20","cited_by_count":38,"area":null},{"id":"2212.03954","title":"Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning","created":"2022-12-07","cited_by_count":36,"area":null},{"id":"2106.15610","title":"An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild","created":"2021-06-29","cited_by_count":30,"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":"2205.13619","title":"Fairness in Recommendation: Foundations, Methods and Applications","created":"2022-05-26","cited_by_count":27,"area":null},{"id":"2103.04243","title":"Estimating and Improving Fairness with Adversarial Learning","created":"2021-03-07","cited_by_count":26,"area":null},{"id":"2308.05441","title":"Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation","created":"2023-08-10","cited_by_count":25,"area":null},{"id":"2110.09253","title":"A Sociotechnical View of Algorithmic Fairness","created":"2021-09-27","cited_by_count":24,"area":null},{"id":"2208.10013","title":"FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning","created":"2022-08-22","cited_by_count":22,"area":null},{"id":"2211.05617","title":"Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey","created":"2022-11-10","cited_by_count":22,"area":null},{"id":"2205.05396","title":"A Survey on Fairness for Machine Learning on Graphs","created":"2022-05-11","cited_by_count":20,"area":null},{"id":"2211.14383","title":"Interpreting Unfairness in Graph Neural Networks via Training Node Attribution","created":"2022-11-25","cited_by_count":18,"area":null},{"id":"2111.03015","title":"Modeling Techniques for Machine Learning Fairness: A Survey","created":"2021-11-04","cited_by_count":17,"area":null},{"id":"2310.13007","title":"A Critical Survey on Fairness Benefits of Explainable AI","created":"2023-10-15","cited_by_count":16,"area":null},{"id":"2102.06761","title":"MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset","created":"2021-02-12","cited_by_count":15,"area":null},{"id":"2303.03242","title":"Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis","created":"2023-03-06","cited_by_count":15,"area":null},{"id":"2402.01909","title":"On Catastrophic Inheritance of Large Foundation Models","created":"2024-02-02","cited_by_count":15,"area":null},{"id":"2302.03225","title":"Efficient XAI Techniques: A Taxonomic Survey","created":"2023-02-07","cited_by_count":14,"area":null},{"id":"2306.14518","title":"Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis","created":"2023-06-26","cited_by_count":14,"area":null},{"id":"2105.06604","title":"Towards Equity and Algorithmic Fairness in Student Grade Prediction","created":"2021-05-14","cited_by_count":13,"area":null},{"id":"2208.05845","title":"Analyzing Fairness in Deepfake Detection With Massively Annotated Databases","created":"2022-08-11","cited_by_count":13,"area":null},{"id":"2210.13664","title":"Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2202.03586","title":"Fair SA: Sensitivity Analysis for Fairness in Face Recognition","created":"2022-02-08","cited_by_count":11,"area":null},{"id":"2207.01168","title":"How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts","created":"2022-07-04","cited_by_count":11,"area":null},{"id":"2106.02216","title":"Fairness-Aware Unsupervised Feature Selection","created":"2021-06-04","cited_by_count":10,"area":null},{"id":"2109.12422","title":"Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models","created":"2021-09-25","cited_by_count":10,"area":null},{"id":"2204.04440","title":"Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks","created":"2022-04-09","cited_by_count":10,"area":null},{"id":"2207.03444","title":"Fairness and Bias in Robot Learning","created":"2022-07-07","cited_by_count":10,"area":null},{"id":"2401.08066","title":"Achieve Fairness without Demographics for Dermatological Disease Diagnosis","created":"2024-01-16","cited_by_count":10,"area":null},{"id":"2105.03632","title":"CASIA-Face-Africa: A Large-scale African Face Image Database","created":"2021-05-08","cited_by_count":9,"area":null},{"id":"2109.12176","title":"On the Fairness of Swarm Learning in Skin Lesion Classification","created":"2021-09-24","cited_by_count":9,"area":null},{"id":"2307.03157","title":"Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation","created":"2023-07-06","cited_by_count":9,"area":null},{"id":"2204.10365","title":"Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2211.09317","title":"Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine","created":"2022-11-17","cited_by_count":8,"area":null},{"id":"2403.06606","title":"Distributionally Generative Augmentation for Fair Facial Attribute Classification","created":"2024-03-11","cited_by_count":8,"area":null},{"id":"2202.08176","title":"Bias and unfairness in machine learning models: a systematic literature review","created":"2022-02-16","cited_by_count":7,"area":null},{"id":"2302.09400","title":"Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning","created":"2023-02-18","cited_by_count":7,"area":null},{"id":"2303.01692","title":"Travel Demand Forecasting: A Fair AI Approach","created":"2023-03-03","cited_by_count":7,"area":null},{"id":"2304.02101","title":"MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations","created":"2023-04-04","cited_by_count":7,"area":null},{"id":"2107.02716","title":"Evaluating subgroup disparity using epistemic uncertainty in mammography","created":"2021-07-06","cited_by_count":6,"area":null},{"id":"2206.03656","title":"Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach","created":"2022-06-08","cited_by_count":6,"area":null},{"id":"2210.15500","title":"COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation","created":"2022-10-14","cited_by_count":6,"area":null},{"id":"2211.14489","title":"Mitigating Relational Bias on Knowledge Graphs","created":"2022-11-26","cited_by_count":6,"area":null},{"id":"2304.08275","title":"Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects","created":"2023-04-17","cited_by_count":6,"area":null},{"id":"2410.04287","title":"Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks","created":"2024-10-05","cited_by_count":6,"area":null},{"id":"2408.12875","title":"Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks","created":"2024-08-23","cited_by_count":5,"area":null},{"id":"2409.04975","title":"PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels","created":"2024-09-08","cited_by_count":5,"area":null},{"id":"2204.13156","title":"On the Relationship Between Explanations, Fairness Perceptions, and Decisions","created":"2022-04-27","cited_by_count":4,"area":null},{"id":"2207.12138","title":"Towards Fairness-Aware Multi-Objective Optimization","created":"2022-07-22","cited_by_count":4,"area":null},{"id":"2302.04358","title":"Mitigating Bias in Visual Transformers via Targeted Alignment","created":"2023-02-08","cited_by_count":4,"area":null},{"id":"2308.04674","title":"Addressing Racial Bias in Facial Emotion Recognition","created":"2023-08-09","cited_by_count":4,"area":null},{"id":"2310.12785","title":"A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier","created":"2023-10-19","cited_by_count":4,"area":null},{"id":"2401.15270","title":"SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models","created":"2024-01-27","cited_by_count":4,"area":null},{"id":"2406.01757","title":"Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities","created":"2024-06-03","cited_by_count":4,"area":null},{"id":"2408.16683","title":"A Catalog of Fairness-Aware Practices in Machine Learning Engineering","created":"2024-08-29","cited_by_count":4,"area":null},{"id":"2410.17492","title":"BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers","created":"2024-10-23","cited_by_count":4,"area":null},{"id":"2412.20086","title":"MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search","created":"2024-12-28","cited_by_count":4,"area":null},{"id":"2503.00907","title":"Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems","created":"2025-03-02","cited_by_count":4,"area":null},{"id":"2209.05602","title":"It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games","created":"2022-09-12","cited_by_count":3,"area":null},{"id":"2304.07030","title":"FairRec: Fairness Testing for Deep Recommender Systems","created":"2023-04-14","cited_by_count":3,"area":null},{"id":"2310.08617","title":"The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features","created":"2023-10-12","cited_by_count":3,"area":null},{"id":"2401.13555","title":"Benchmarking the Fairness of Image Upsampling Methods","created":"2024-01-24","cited_by_count":3,"area":null},{"id":"2402.13379","title":"Referee-Meta-Learning for Fast Adaptation of Locational Fairness","created":"2024-02-20","cited_by_count":3,"area":null},{"id":"2403.12391","title":"FairSTG: Countering performance heterogeneity via collaborative sample-level optimization","created":"2024-03-19","cited_by_count":3,"area":null},{"id":"2403.18196","title":"Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities","created":"2024-03-27","cited_by_count":3,"area":null},{"id":"2409.17643","title":"Efficient Fairness-Performance Pareto Front Computation","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2502.16841","title":"Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2207.04581","title":"How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies","created":"2022-07-11","cited_by_count":2,"area":null},{"id":"2207.10018","title":"Mitigating Algorithmic Bias with Limited Annotations","created":"2022-07-20","cited_by_count":2,"area":null},{"id":"2304.09287","title":"Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search","created":"2023-04-18","cited_by_count":2,"area":null},{"id":"2305.14728","title":"SenteCon: Leveraging Lexicons to Learn Human-Interpretable Language Representations","created":"2023-05-24","cited_by_count":2,"area":null},{"id":"2306.03179","title":"Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records","created":"2023-06-05","cited_by_count":2,"area":null},{"id":"2310.13820","title":"FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2312.10508","title":"TrojFair: Trojan Fairness Attacks","created":"2023-12-16","cited_by_count":2,"area":null},{"id":"2405.10256","title":"Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis","created":"2024-05-16","cited_by_count":2,"area":null},{"id":"2406.02480","title":"Fairness Evolution in Continual Learning for Medical Imaging","created":"2024-04-10","cited_by_count":2,"area":null},{"id":"2507.08866","title":"Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond","created":"2025-07-09","cited_by_count":2,"area":null},{"id":"2106.02498","title":"Towards Fairness Certification in Artificial Intelligence","created":"2021-06-04","cited_by_count":1,"area":null},{"id":"2212.13014","title":"Bias Mitigation Framework for Intersectional Subgroups in Neural Networks","created":"2022-12-26","cited_by_count":1,"area":null},{"id":"2302.03750","title":"Linking convolutional kernel size to generalization bias in face analysis CNNs","created":"2023-02-07","cited_by_count":1,"area":null},{"id":"2307.04105","title":"Towards Assumption-free Bias Mitigation","created":"2023-07-09","cited_by_count":1,"area":null},{"id":"2308.01525","title":"VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception","created":"2023-08-03","cited_by_count":1,"area":null},{"id":"2402.11237","title":"Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning","created":"2024-02-17","cited_by_count":1,"area":null},{"id":"2503.17110","title":"Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?","created":"2025-03-21","cited_by_count":1,"area":null},{"id":"2505.07005","title":"Explainable AI the Latest Advancements and New Trends","created":"2025-05-11","cited_by_count":1,"area":null},{"id":"2506.14843","title":"CACTUS as a Reliable Tool for Early Classification of Age-related Macular Degeneration","created":"2025-06-16","cited_by_count":1,"area":null}],"next_cursor":"100"}