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Fairness

3337 directly classified papers

Papers per year

Papers

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation EMNLP 2021
Towards Equal Gender Representation in the Annotations of Toxic Language Detection ACL 2021
Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList ACL 2021
Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021
Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract) AAAI 2021
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021
Incentivizing Truthfulness Through Audits in Strategic Classification AAAI 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models IJCNLP 2021
Conditionally independent data generation UAI 2021
Bias-tolerant Fair Classification ACML 2021
District-Fair Participatory Budgeting AAAI 2021
Improving Fairness and Privacy in Selection Problems AAAI 2021
Federated Learning with Fair Averaging IJCAI 2021
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models IJCAI 2021
Matchings with Group Fairness Constraints: Online and Offline Algorithms IJCAI 2021
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling IJCAI 2021
Optimized Score Transformation for Consistent Fair Classification JMLR 2021
Oblivious Data for Fairness with Kernels JMLR 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models JMLR 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal ACML 2021
Fairness constraint of Fuzzy C-means Clustering improves clustering fairness ACML 2021
Facility’s Perspective to Fair Facility Location Problems AAAI 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ACL 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives IJCNLP 2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model IJCNLP 2021