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Fairness

3337 directly classified papers

Papers per year

Papers

Towards Equal Gender Representation in the Annotations of Toxic Language Detection IJCNLP 2021
Guiding Principles for Participatory Design-inspired Natural Language Processing IJCNLP 2021
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning NAACL 2021
Case Study: Deontological Ethics in NLP NAACL 2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers NAACL 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL 2021
Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech ACL 2021
What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ACL 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021
AutoBalance: Optimized Loss Functions for Imbalanced Data NIPS 2021
Fair Classification with Adversarial Perturbations NIPS 2021
Fairness in Ranking under Uncertainty NIPS 2021
Fairness via Representation Neutralization NIPS 2021
Better Algorithms for Individually Fair $k$-Clustering NIPS 2021
Assessing Fairness in the Presence of Missing Data NIPS 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning NIPS 2021
A Unified Approach to Fair Online Learning via Blackwell Approachability NIPS 2021
Best-case lower bounds in online learning NIPS 2021
Fair Exploration via Axiomatic Bargaining NIPS 2021
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem NIPS 2021
Fair Algorithms for Multi-Agent Multi-Armed Bandits NIPS 2021
Fair Sortition Made Transparent NIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift? NIPS 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions NIPS 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NIPS 2021