← Application Areas
Machine Learning › Application Areas ›

Fairness

3337 directly classified papers

Papers per year

Papers

Pushing the limits of fairness impossibility: Who's the fairest of them all? NIPS 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NIPS 2022
TruthfulQA: Measuring How Models Mimic Human Falsehoods ACL 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing ACL 2022
The subtle language of exclusion: Identifying the Toxic Speech of Trans-exclusionary Radical Feminists NAACL 2022
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond CVPR 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022
Scalable Infomin Learning NIPS 2022
Estimating Structural Disparities for Face Models CVPR 2022
Group Meritocratic Fairness in Linear Contextual Bandits NIPS 2022
A Conservative Approach for Unbiased Learning on Unknown Biases CVPR 2022
Evaluating model performance under worst-case subpopulations NIPS 2021
Relaxing Local Robustness NIPS 2021
Two-sided fairness in rankings via Lorenz dominance NIPS 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models NIPS 2021
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets NIPS 2021
Counterfactual Invariance to Spurious Correlations in Text Classification NIPS 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint AISTATS 2021
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment AAAI 2021
Teaching the Old Dog New Tricks: Supervised Learning with Constraints AAAI 2021
Fairness-aware News Recommendation with Decomposed Adversarial Learning AAAI 2021
Maximin Fairness with Mixed Divisible and Indivisible Goods AAAI 2021
Fair and Efficient Allocations under Subadditive Valuations AAAI 2021
Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021