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Fairness

3337 directly classified papers

Papers per year

Papers

The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric NIPS 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NIPS 2019
Paradoxes in Fair Machine Learning NIPS 2019
Robust Attribution Regularization NIPS 2019
Scalable Fair Clustering ICML 2019
Proportionally Fair Clustering ICML 2019
Obtaining Fairness using Optimal Transport Theory ICML 2019
Stable and Fair Classification ICML 2019
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings NAACL 2019
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings ACL 2019
Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories ACL 2019
REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019
Fair and Explainable Dynamic Engagement of Crowd Workers IJCAI 2019
Bias Analysis and Mitigation in the Evaluation of Authorship Verification ACL 2019
AI at the Margins: Data, Decisions, and Inclusive Social Impact IJCAI 2019
A Compliance Checking Framework for DNN Models IJCAI 2019
Racial Bias in Hate Speech and Abusive Language Detection Datasets ACL 2019
Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function ACL 2019
Incorporating Priors with Feature Attribution on Text Classification ACL 2019
Fair Algorithms for Clustering NIPS 2019
Envy-Free Classification NIPS 2019
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design NIPS 2019
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech ACL 2019
Offline Contextual Bandits with High Probability Fairness Guarantees NIPS 2019
Adversarial Removal of Demographic Attributes Revisited IJCNLP 2019