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Fairness

796 directly classified papers

Papers per year

Papers

Towards Debiasing Sentence Representations ACL 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities ACL 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020
Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020
Deep Fair Clustering for Visual Learning CVPR 2020
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020
Auditing ML Models for Individual Bias and Unfairness AISTATS 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020
Sample Complexity of Uniform Convergence for Multicalibration NIPS 2020
Probabilistic Fair Clustering NIPS 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks NIPS 2020
Investigating Gender Bias in Language Models Using Causal Mediation Analysis NIPS 2020
Fair Performance Metric Elicitation NIPS 2020
Fairness for Robust Log Loss Classification AAAI 2020
Invariant Representations through Adversarial Forgetting AAAI 2020
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English AAAI 2020
Faking Fairness via Stealthily Biased Sampling AAAI 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NIPS 2020
Probably Approximately Correct Constrained Learning NIPS 2020
Fair Multiple Decision Making Through Soft Interventions NIPS 2020
Ensuring Fairness Beyond the Training Data NIPS 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020
Fair k-Centers via Maximum Matching ICML 2020
Fairness Evaluation in Presence of Biased Noisy Labels AISTATS 2020
Neutralizing Self-Selection Bias in Sampling for Sortition NIPS 2020