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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Understanding Robustness of Transformers for Image Classification ICCV 2021
Understanding and Evaluating Racial Biases in Image Captioning ICCV 2021
BREEDS: Benchmarks for Subpopulation Shift ICLR 2021
Regularized Online Allocation Problems: Fairness and Beyond ICML 2021
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021
Understanding and Mitigating Accuracy Disparity in Regression ICML 2021
Fairness and Bias in Online Selection ICML 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels ICML 2021
Environment Inference for Invariant Learning ICML 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021
Post-selection inference with HSIC-Lasso ICML 2021
Strategic Classification in the Dark ICML 2021
On the Problem of Underranking in Group-Fair Ranking ICML 2021
Alternative Microfoundations for Strategic Classification ICML 2021
Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021
Fair Selective Classification Via Sufficiency ICML 2021
Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021
Approximate Group Fairness for Clustering ICML 2021
Towards Understanding and Mitigating Social Biases in Language Models ICML 2021
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments ICML 2021
Just Train Twice: Improving Group Robustness without Training Group Information ICML 2021
Blind Pareto Fairness and Subgroup Robustness ICML 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021
Multi-group Agnostic PAC Learnability ICML 2021