Co-occurring keywords · papers mentioning both
Papers
Why Don’t Prompt-Based Fairness Metrics Correlate?
ACL 2024
Accurate Fairness: Improving Individual Fairness without Trading Accuracy
AAAI 2023
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter
ACL 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
ACL 2023
Are fairness metric scores enough to assess discrimination biases in machine learning?
ACL 2023
Assessing and Enforcing Fairness in the AI Lifecycle
IJCAI 2023
Can We Trust Fair-AI?
AAAI 2023
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
AAAI 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML
ICML 2023
Intersectionality and Testimonial Injustice in Medical Records
ACL 2023
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
AAAI 2023
Model-Agnostic Bias Measurement in Link Prediction
EACL 2023
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
ICLR 2023
Superhuman Fairness
ICML 2023
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract)
IJCAI 2022
FairLib: A Unified Framework for Assessing and Improving Fairness
EMNLP 2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity
ACL 2022
Post-processing of Differentially Private Data: A Fairness Perspective
IJCAI 2022
Gender Bias in Natural Language Processing Across Human Languages
NAACL 2021
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment
AAAI 2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
ICML 2021
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
NeurIPS 2020
Fairness-Aware Demand Prediction for New Mobility
AAAI 2020
Fair Performance Metric Elicitation
NeurIPS 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
ICML 2020