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Fairness

3337 directly classified papers

Papers per year

Papers

On the Epistemic Limits of Personalized Prediction NIPS 2022
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NIPS 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness NIPS 2022
Fair Rank Aggregation NIPS 2022
Fair Bayes-Optimal Classifiers Under Predictive Parity NIPS 2022
A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets NIPS 2022
Fair Ranking with Noisy Protected Attributes NIPS 2022
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs NIPS 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore NIPS 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP NIPS 2022
Uncovering the Structural Fairness in Graph Contrastive Learning NIPS 2022
Quantifying Health Inequalities Induced by Data and AI Models IJCAI 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition NIPS 2022
Fairness Reprogramming NIPS 2022
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities INTERSPEECH 2022
Training and typological bias in ASR performance for world Englishes INTERSPEECH 2022
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models ACL 2022
Measuring and Mitigating Name Biases in Neural Machine Translation ACL 2022
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models ACL 2022
Reducing Offensive Replies in Open Domain Dialogue Systems INTERSPEECH 2022
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models AACL 2022
MUTE: A Multimodal Dataset for Detecting Hateful Memes AACL 2022
Text Characterization Toolkit (TCT) AACL 2022
Does Representational Fairness Imply Empirical Fairness? AACL 2022
Systematic Evaluation of Predictive Fairness AACL 2022