Fairness
3,574 papers
Papers per year
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6
33
66
179
256
364
482
571
726
719
163
'20
'25
Papers
Revisiting the Importance of Amplifying Bias for Debiasing
AAAI 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
ICLR 2023
Risks and NLP Design: A Case Study on Procedural Document QA
ACL 2023
ROBBIE: Robust Bias Evaluation of Large Generative Language Models
EMNLP 2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
NeurIPS 2023
Robust distillation for worst-class performance: on the interplay between teacher and student objectives
UAI 2023
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
ICLR 2023
Robust Natural Language Understanding with Residual Attention Debiasing
ACL 2023
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions
ACL 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence
JMLR 2023
Sampling bias in NLU models: Impact and Mitigation
Interspeech 2023
Sampling Ex-Post Group-Fair Rankings
IJCAI 2023
Scalable Fair Influence Maximization
NeurIPS 2023
Scalable Spectral Clustering with Group Fairness Constraints
AISTATS 2023
Searching for Fairer Machine Learning Ensembles
AutoML 2023
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
ACL 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images
NeurIPS 2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
SemEval 2023
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
IJCAI 2023
Shapley Based Residual Decomposition for Instance Analysis
ICML 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
ACL 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
AAAI 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting
ICML 2023
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
NeurIPS 2023
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria
AAAI 2023