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Fairness

3337 directly classified papers

Papers per year

Papers

The Risk of Racial Bias in Hate Speech Detection ACL 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019
Learning Optimal Fair Policies ICML 2019
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis ACL 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review ACL 2019
The Implicit Fairness Criterion of Unconstrained Learning ICML 2019
Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience AAAI 2019
Achieving Causal Fairness through Generative Adversarial Networks IJCAI 2019
The Price of Local Fairness in Multistage Selection IJCAI 2019
Fairwashing: the risk of rationalization ICML 2019
Fairness without Harm: Decoupled Classifiers with Preference Guarantees ICML 2019
Robust Learning from Untrusted Sources ICML 2019
Data Shapley: Equitable Valuation of Data for Machine Learning ICML 2019
Detecting and Reducing Bias in a High Stakes Domain EMNLP 2019
Posing Fair Generalization Tasks for Natural Language Inference EMNLP 2019
Flexibly Fair Representation Learning by Disentanglement ICML 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions ICML 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ICCV 2019
Fair and Efficient Memory Sharing: Confronting Free Riders AAAI 2019
Agnostic Federated Learning ICML 2019
Toward Controlling Discrimination in Online Ad Auctions ICML 2019
Fairness-Aware Learning for Continuous Attributes and Treatments ICML 2019
Making Decisions that Reduce Discriminatory Impacts ICML 2019
Guarantees for Spectral Clustering with Fairness Constraints ICML 2019
Differentially Private Fair Learning ICML 2019