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Fairness

3337 directly classified papers

Papers per year

Papers

Towards Label Position Bias in Graph Neural Networks NIPS 2023
Incentivizing Recourse through Auditing in Strategic Classification IJCAI 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NIPS 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions NIPS 2023
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases NIPS 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NIPS 2023
Fair Adaptive Experiments NIPS 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NIPS 2023
Delegated Classification NIPS 2023
Doubly Constrained Fair Clustering NIPS 2023
Certification of Distributional Individual Fairness NIPS 2023
No-regret Algorithms for Fair Resource Allocation NIPS 2023
Superhuman Fairness ICML 2023
Auditing Fairness by Betting NIPS 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods CVPR 2023
Equal Opportunity of Coverage in Fair Regression NIPS 2023
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models ACL 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023
Demographic Parity Constrained Minimax Optimal Regression under Linear Model NIPS 2023
Group Robust Classification Without Any Group Information NIPS 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes NIPS 2023
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions ACL 2023