{"total":125,"rows":[{"id":"2209.02299","title":"A Survey of Machine Unlearning","created":"2022-09-06","cited_by_count":312,"area":"safety"},{"id":"2302.00070","title":"Debiasing Vision-Language Models via Biased Prompts","created":"2023-01-31","cited_by_count":149,"area":"mllm"},{"id":"2106.08503","title":"Understanding and Evaluating Racial Biases in Image Captioning","created":"2021-06-16","cited_by_count":108,"area":null},{"id":"2106.05258","title":"Generative Models as a Data Source for Multiview Representation Learning","created":"2021-06-09","cited_by_count":104,"area":null},{"id":"2203.16209","title":"Fair Contrastive Learning for Facial Attribute Classification","created":"2022-03-30","cited_by_count":71,"area":null},{"id":"2403.19949","title":"FairCLIP: Harnessing Fairness in Vision-Language Learning","created":"2024-03-29","cited_by_count":69,"area":null},{"id":"2309.05569","title":"ITI-GEN: Inclusive Text-to-Image Generation","created":"2023-09-11","cited_by_count":64,"area":null},{"id":"2205.04610","title":"Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation","created":"2022-05-10","cited_by_count":59,"area":null},{"id":"2302.04269","title":"Diagnosing and Rectifying Vision Models using Language","created":"2023-02-08","cited_by_count":58,"area":null},{"id":"2203.04913","title":"Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers","created":"2022-03-09","cited_by_count":53,"area":null},{"id":"2402.18206","title":"Balancing Act: Distribution-Guided Debiasing in Diffusion Models","created":"2024-02-28","cited_by_count":52,"area":"diffusion"},{"id":"2203.01584","title":"Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models","created":"2022-03-03","cited_by_count":47,"area":null},{"id":"2207.09615","title":"Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability","created":"2022-07-20","cited_by_count":46,"area":null},{"id":"2305.11080","title":"Inspecting the Geographical Representativeness of Images from Text-to-Image Models","created":"2023-05-18","cited_by_count":44,"area":"diffusion"},{"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":"2210.12529","title":"On-Demand Sampling: Learning Optimally from Multiple Distributions","created":"2022-10-22","cited_by_count":39,"area":null},{"id":"2206.09191","title":"Gender Artifacts in Visual Datasets","created":"2022-06-18","cited_by_count":38,"area":null},{"id":"2302.10908","title":"Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment","created":"2023-02-13","cited_by_count":33,"area":null},{"id":"2303.06167","title":"Overwriting Pretrained Bias with Finetuning Data","created":"2023-03-10","cited_by_count":32,"area":null},{"id":"2306.09264","title":"Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization","created":"2023-06-15","cited_by_count":31,"area":null},{"id":"2205.10764","title":"Evidence for Hypodescent in Visual Semantic AI","created":"2022-05-22","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":"2209.15605","title":"Bias Mimicking: A Simple Sampling Approach for Bias Mitigation","created":"2022-09-30","cited_by_count":30,"area":null},{"id":"2405.16507","title":"Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning","created":"2024-05-26","cited_by_count":29,"area":null},{"id":"2209.06970","title":"Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models","created":"2022-09-14","cited_by_count":27,"area":"diffusion"},{"id":"2305.15407","title":"Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets","created":"2023-05-24","cited_by_count":27,"area":"mllm"},{"id":"2309.14381","title":"Survey of Social Bias in Vision-Language Models","created":"2023-09-24","cited_by_count":26,"area":"mllm"},{"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":"2303.15441","title":"Zero-shot Model Diagnosis","created":"2023-03-27","cited_by_count":23,"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":"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":"2208.08349","title":"Open Long-Tailed Recognition in a Dynamic World","created":"2022-08-17","cited_by_count":21,"area":null},{"id":"2210.11924","title":"Men Also Do Laundry: Multi-Attribute Bias Amplification","created":"2022-10-21","cited_by_count":21,"area":null},{"id":"2202.06240","title":"FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations","created":"2022-02-13","cited_by_count":20,"area":null},{"id":"2407.08813","title":"FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification","created":"2024-07-11","cited_by_count":19,"area":null},{"id":"2408.10202","title":"SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP","created":"2024-08-19","cited_by_count":19,"area":"mllm"},{"id":"2111.13650","title":"Latent Space Smoothing for Individually Fair Representations","created":"2021-11-26","cited_by_count":18,"area":null},{"id":"2112.06522","title":"Anatomizing Bias in Facial Analysis","created":"2021-12-13","cited_by_count":18,"area":null},{"id":"2402.18919","title":"Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation","created":"2024-02-29","cited_by_count":18,"area":null},{"id":"2107.11186","title":"LARGE: Latent-Based Regression through GAN Semantics","created":"2021-07-22","cited_by_count":17,"area":null},{"id":"2202.13295","title":"Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations","created":"2022-02-27","cited_by_count":17,"area":"safety"},{"id":"2309.05148","title":"Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color","created":"2023-09-10","cited_by_count":17,"area":null},{"id":"2109.00545","title":"Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks","created":"2021-09-01","cited_by_count":16,"area":null},{"id":"2205.07182","title":"Fair Bayes-Optimal Classifiers Under Predictive Parity","created":"2022-05-15","cited_by_count":16,"area":null},{"id":"2304.10253","title":"Image retrieval outperforms diffusion models on data augmentation","created":"2023-04-20","cited_by_count":14,"area":"diffusion"},{"id":"2310.05725","title":"Post-hoc Bias Scoring Is Optimal For Fair Classification","created":"2023-10-09","cited_by_count":14,"area":null},{"id":"2310.02492","title":"FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling","created":"2023-10-03","cited_by_count":13,"area":null},{"id":"2408.02464","title":"Fairness and Bias Mitigation in Computer Vision: A Survey","created":"2024-08-05","cited_by_count":13,"area":null},{"id":"2502.16098","title":"Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models","created":"2025-02-22","cited_by_count":13,"area":"mllm"},{"id":"2308.04553","title":"From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition","created":"2023-08-08","cited_by_count":12,"area":null},{"id":"2407.13710","title":"OxonFair: A Flexible Toolkit for Algorithmic Fairness","created":"2024-06-30","cited_by_count":12,"area":null},{"id":"2211.00168","title":"Improving Fairness in Image Classification via Sketching","created":"2022-10-31","cited_by_count":11,"area":null},{"id":"2307.16526","title":"No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging","created":"2023-07-31","cited_by_count":11,"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":"2410.16432","title":"Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium","created":"2024-10-21","cited_by_count":9,"area":null},{"id":"2210.07031","title":"Rebalanced Zero-shot Learning","created":"2022-10-13","cited_by_count":8,"area":null},{"id":"2308.01948","title":"A Multidimensional Analysis of Social Biases in Vision Transformers","created":"2023-08-03","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":"2408.06569","title":"Social Debiasing for Fair Multi-modal LLMs","created":"2024-08-13","cited_by_count":8,"area":"mllm"},{"id":"2112.04598","title":"InvGAN: Invertible GANs","created":"2021-12-08","cited_by_count":7,"area":null},{"id":"2208.08382","title":"Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups","created":"2022-08-17","cited_by_count":7,"area":null},{"id":"2407.03623","title":"Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes","created":"2024-07-04","cited_by_count":7,"area":null},{"id":"2510.08123","title":"High-dimensional Analysis of Synthetic Data Selection","created":"2025-10-09","cited_by_count":7,"area":null},{"id":"2209.06850","title":"CAT: Controllable Attribute Translation for Fair Facial Attribute Classification","created":"2022-09-14","cited_by_count":6,"area":null},{"id":"2209.08648","title":"Through a fair looking-glass: mitigating bias in image datasets","created":"2022-09-18","cited_by_count":6,"area":null},{"id":"2401.03695","title":"A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models","created":"2024-01-08","cited_by_count":6,"area":null},{"id":"2305.07710","title":"Zero-shot racially balanced dataset generation using an existing biased StyleGAN2","created":"2023-05-12","cited_by_count":5,"area":null},{"id":"2311.02189","title":"FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling","created":"2023-11-03","cited_by_count":5,"area":null},{"id":"2503.05665","title":"AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data","created":"2025-03-07","cited_by_count":5,"area":"diffusion"},{"id":"2307.12219","title":"Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation","created":"2023-07-23","cited_by_count":4,"area":null},{"id":"2501.02442","title":"Unsupervised Search for Ethnic Minorities' Medical Segmentation Training Set","created":"2025-01-05","cited_by_count":4,"area":null},{"id":"2207.05727","title":"Enhancing Fairness of Visual Attribute Predictors","created":"2022-07-07","cited_by_count":3,"area":null},{"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":"2211.16488","title":"Taming Normalizing Flows","created":"2022-11-29","cited_by_count":3,"area":null},{"id":"2303.01504","title":"Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias","created":"2023-03-01","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":"2310.12421","title":"Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling","created":"2023-10-19","cited_by_count":3,"area":null},{"id":"2405.05031","title":"Mitigating Bias Using Model-Agnostic Data Attribution","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2408.16881","title":"FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features","created":"2024-08-29","cited_by_count":3,"area":null},{"id":"2503.19846","title":"Attention IoU: Examining Biases in CelebA using Attention Maps","created":"2025-03-25","cited_by_count":3,"area":null},{"id":"2202.10943","title":"Gradient Based Activations for Accurate Bias-Free Learning","created":"2022-02-17","cited_by_count":2,"area":null},{"id":"2203.07593","title":"Distraction is All You Need for Fairness","created":"2022-03-15","cited_by_count":2,"area":null},{"id":"2204.06364","title":"Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity","created":"2022-04-13","cited_by_count":2,"area":null},{"id":"2209.00746","title":"MIME: Minority Inclusion for Majority Group Enhancement of AI Performance","created":"2022-09-01","cited_by_count":2,"area":null},{"id":"2307.04417","title":"Fairness-aware Federated Minimax Optimization with Convergence Guarantee","created":"2023-07-10","cited_by_count":2,"area":null},{"id":"2310.15848","title":"On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms","created":"2023-10-24","cited_by_count":2,"area":null},{"id":"2403.07780","title":"FairRR: Pre-Processing for Group Fairness through Randomized Response","created":"2024-03-12","cited_by_count":2,"area":null},{"id":"2406.02889","title":"Language-guided Detection and Mitigation of Unknown Dataset Bias","created":"2024-06-05","cited_by_count":2,"area":null},{"id":"2406.06407","title":"A Taxonomy of Challenges to Curating Fair Datasets","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2409.00553","title":"Multi-Output Distributional Fairness via Post-Processing","created":"2024-08-31","cited_by_count":2,"area":null},{"id":"2412.00720","title":"Fairness via Independence: A (Conditional) Distance Covariance Framework","created":"2024-12-01","cited_by_count":2,"area":null},{"id":"2503.06150","title":"Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2505.12114","title":"Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals","created":"2025-05-17","cited_by_count":2,"area":null},{"id":"2511.10089","title":"T2IBias: Uncovering Societal Bias Encoded in the Latent Space of Text-to-Image Generative Models","created":"2025-11-13","cited_by_count":2,"area":null},{"id":"2204.09556","title":"De-biasing facial detection system using VAE","created":"2022-04-16","cited_by_count":1,"area":null},{"id":"2210.04369","title":"A Differentiable Distance Approximation for Fairer Image Classification","created":"2022-10-09","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":"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":"2303.13010","title":"Semantic Image Attack for Visual Model Diagnosis","created":"2023-03-23","cited_by_count":1,"area":null},{"id":"2310.15097","title":"A Canonical Data Transformation for Achieving Inter- and Within-group Fairness","created":"2023-10-23","cited_by_count":1,"area":null}],"next_cursor":"100"}