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Fairness

3,511 papers

Papers per year

251
692
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'25

Papers

Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets NIPS 2021
Retiring Adult: New Datasets for Fair Machine Learning NIPS 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective NIPS 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models NIPS 2021
Fair Classification with Adversarial Perturbations NIPS 2021
Two-sided fairness in rankings via Lorenz dominance NIPS 2021
Refining Language Models with Compositional Explanations NIPS 2021
One Explanation is Not Enough: Structured Attention Graphs for Image Classification NIPS 2021
Fairness in Ranking under Uncertainty NIPS 2021
Fairness via Representation Neutralization NIPS 2021
Explaining Latent Representations with a Corpus of Examples NIPS 2021
Better Algorithms for Individually Fair $k$-Clustering NIPS 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021
Fair Clustering Under a Bounded Cost NIPS 2021
Characterizing the risk of fairwashing NIPS 2021
Overinterpretation reveals image classification model pathologies NIPS 2021
Assessing Fairness in the Presence of Missing Data NIPS 2021
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning NIPS 2021
Counterfactual Invariance to Spurious Correlations in Text Classification NIPS 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning NIPS 2021
Relaxing Local Robustness NIPS 2021
Evaluating model performance under worst-case subpopulations NIPS 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial NIPS 2021
An Information-theoretic Approach to Distribution Shifts NIPS 2021
Training Over-parameterized Models with Non-decomposable Objectives NIPS 2021