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Fairness

796 directly classified papers

Papers per year

Papers

Combining Adversaries with Anti-adversaries in Training AAAI 2023
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models AAAI 2023
Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information AAAI 2023
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness AAAI 2023
Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023
Stubborn Lexical Bias in Data and Models ACL 2023
A Simple, Yet Effective Approach to Finding Biases in Code Generation ACL 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? ACL 2023
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset ACL 2023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models ACL 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models ACL 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition AAAI 2023
Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023
Improving Robust Fariness via Balance Adversarial Training AAAI 2023
Can We Trust Fair-AI? AAAI 2023
Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy NIPS 2023
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023
Mitigating Source Bias for Fairer Weak Supervision NIPS 2023
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection EMNLP 2023
Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification NAACL 2022
How Gender Debiasing Affects Internal Model Representations, and Why It Matters NAACL 2022