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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Individual fairness in feature-based pricing for monopoly markets UAI 2022
Quadratic metric elicitation for fairness and beyond UAI 2022
Efficient resource allocation with fairness constraints in restless multi-armed bandits UAI 2022
Local calibration: metrics and recalibration UAI 2022
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs UAI 2022
How unfair is private learning? UAI 2022
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias WACV 2022
Auditing Saliency Cropping Algorithms WACV 2022
Fair Visual Recognition in Limited Data Regime Using Self-Supervision and Self-Distillation WACV 2022
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals WACV 2022
Generating and Controlling Diversity in Image Search WACV 2022
Fair and Accurate Age Prediction Using Distribution Aware Data Curation and Augmentation WACV 2022
An Investigation of Critical Issues in Bias Mitigation Techniques WACV 2022
On Black-Box Explanation for Face Verification WACV 2022
Efficient Counterfactual Debiasing for Visual Question Answering WACV 2022
Measuring Hidden Bias Within Face Recognition via Racial Phenotypes WACV 2022
Counterfactual Explanations Can Be Manipulated NIPS 2021
Sample Selection for Fair and Robust Training NIPS 2021
Subgroup Generalization and Fairness of Graph Neural Networks NIPS 2021
Learning Optimal Predictive Checklists NIPS 2021
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs NIPS 2021
Self-Interpretable Model with Transformation Equivariant Interpretation NIPS 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models NIPS 2021
Can Information Flows Suggest Targets for Interventions in Neural Circuits? NIPS 2021
AutoBalance: Optimized Loss Functions for Imbalanced Data NIPS 2021