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Fairness

796 directly classified papers

Papers per year

Papers

Some Voices are Too Common: Building Fair Speech Recognition Systems Using the CommonVoice Dataset INTERSPEECH 2023
Fair and Optimal Classification via Post-Processing ICML 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve ICML 2023
Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023
Improving Fair Training under Correlation Shifts ICML 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023
On the Within-Group Fairness of Screening Classifiers ICML 2023
The Statistical Scope of Multicalibration ICML 2023
Superhuman Fairness ICML 2023
Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023
Fair yet Asymptotically Equal Collaborative Learning ICML 2023
FAIRER: Fairness as Decision Rationale Alignment ICML 2023
Loss Balancing for Fair Supervised Learning ICML 2023
Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023
Mean Parity Fair Regression in RKHS AISTATS 2023
Fair Representation Learning with Unreliable Labels AISTATS 2023
Manifold Restricted Interventional Shapley Values AISTATS 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Fair Generative Models via Transfer Learning AAAI 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models AAAI 2023
Sustaining Fairness via Incremental Learning AAAI 2023
A Fair Generative Model Using LeCam Divergence AAAI 2023
ADEPT: A DEbiasing PrompT Framework AAAI 2023