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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
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
AAAI 2024
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
ACL 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
AISTATS 2024
Fairness-Aware Estimation of Graphical Models
NIPS 2024
Fair Allocation of Items in Multiple Regions
AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
AAAI 2024
Identifying Reasons for Bias: An Argumentation-Based Approach
AAAI 2024
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
NIPS 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
NIPS 2024
Perceptual Fairness in Image Restoration
NIPS 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness
NIPS 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
NIPS 2024
Imposing Fairness Constraints in Synthetic Data Generation
AISTATS 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
NIPS 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
NIPS 2024
Fairness in Submodular Maximization over a Matroid Constraint
AISTATS 2024
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages
ACL 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
AISTATS 2024
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
NIPS 2024
What is the social benefit of hate speech detection research? A Systematic Review
EMNLP 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
AAAI 2024
Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process
AAAI 2024
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
AAAI 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
AAAI 2024
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