Application Areas

Fairness Concepts for Indivisible Items with Externalities AAAI 2023 Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments NeurIPS 2023 Fairness-guided Few-shot Prompting for Large Language Models NeurIPS 2023 Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results AAAI 2023 Fairness in Language Models Beyond English: Gaps and Challenges EACL 2023 Fairness in Matching under Uncertainty ICML 2023 Fairness in Streaming Submodular Maximization over a Matroid Constraint ICML 2023 Fairness via Group Contribution Matching IJCAI 2023 Fair, Polylog-Approximate Low-Cost Hierarchical Clustering NeurIPS 2023 FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023 Fair Representation Learning with Unreliable Labels AISTATS 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023 Fair Short Paths in Vertex-Colored Graphs AAAI 2023 Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint NeurIPS 2023 Fair Survival Time Prediction via Mutual Information Minimization MLHC 2023 Fair Text Classification with Wasserstein Independence EMNLP 2023 Fair Without Leveling Down: A New Intersectional Fairness Definition EMNLP 2023 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Faithfulness Tests for Natural Language Explanations ACL 2023 FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract) AAAI 2023 Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023 FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023 FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection WACV 2023 FARE: Provably Fair Representation Learning with Practical Certificates ICML 2023