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Fairness

3337 directly classified papers

Papers per year

Papers

Mitigation of Diachronic Bias in Fake News Detection Dataset EMNLP 2021
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media EMNLP 2021
Assessing Gender Bias in Wikipedia: Inequalities in Article Titles ACL 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder AAAI 2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret IJCAI 2021
Reliability Testing for Natural Language Processing Systems ACL 2021
Directional Bias Amplification ICML 2021
Understanding the Effect of Bias in Deep Anomaly Detection IJCAI 2021
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces EACL 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts ACL 2021
A Survey of Race, Racism, and Anti-Racism in NLP ACL 2021
Abusive Language on Social Media Through the Legal Looking Glass ACL 2021
Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing ACL 2021
How Linguistically Fair Are Multilingual Pre-Trained Language Models? AAAI 2021
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia ACL 2021
Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ACL 2021
Fairness in Influence Maximization through Randomization AAAI 2021
Towards Understanding and Mitigating Social Biases in Language Models ICML 2021
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments ICML 2021
Collaborative Bayesian Optimization with Fair Regret ICML 2021
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract) IJCAI 2021
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021
Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling AAAI 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021