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Methodology
← Learning Types
Machine Learning
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Learning Types
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Fairness
796 directly classified papers
Papers per year
2013: 3
2014: 1
2016: 1
2017: 11
2018: 14
2019: 44
2020: 76
2021: 91
2022: 132
2023: 133
2024: 158
2025: 132
Papers
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting
AAAI 2024
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
AAAI 2024
Reconciling Predictive and Statistical Parity: A Causal Approach
AAAI 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
EMNLP 2024
An Information-Flow Perspective on Algorithmic Fairness
AAAI 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
AAAI 2024
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
AAAI 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
EMNLP 2024
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
AAAI 2024
Quality-Diversity Generative Sampling for Learning with Synthetic Data
AAAI 2024
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment
AAAI 2024
Fairness in Submodular Maximization over a Matroid Constraint
AISTATS 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
EMNLP 2024
Modeling Gender and Dialect Bias in Automatic Speech Recognition
EMNLP 2024
Robust Sparse Voting
AISTATS 2024
Reinforcement Learning with Stepwise Fairness Constraints
AISTATS 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
ACL 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI 2023
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?
ACL 2023
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
ACL 2023
Doubly Fair Dynamic Pricing
AISTATS 2023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
ACL 2023
Distributionally Robust Optimization with Probabilistic Group
AAAI 2023
Stubborn Lexical Bias in Data and Models
ACL 2023
A Simple, Yet Effective Approach to Finding Biases in Code Generation
ACL 2023
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