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Fairness

3337 directly classified papers

Papers per year

Papers

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints ICML 2019
It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution IJCNLP 2019
Striking the Right Balance With Uncertainty CVPR 2019
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms ICML 2019
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth ICML 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification IJCNLP 2019
Posing Fair Generalization Tasks for Natural Language Inference IJCNLP 2019
On Strategyproof Conference Peer Review IJCAI 2019
Wasserstein Fair Classification UAI 2019
Towards Debiasing Fact Verification Models EMNLP 2019
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services AAAI 2019
The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification SEMEVAL 2019
Gender De-Biasing in Speech Emotion Recognition INTERSPEECH 2019
AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing IJCAI 2019
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter SEMEVAL 2019
Detection of Abusive Language: the Problem of Biased Datasets NAACL 2019
Identifying and Reducing Gender Bias in Word-Level Language Models NAACL 2019
Examining Gender Bias in Languages with Grammatical Gender IJCNLP 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness NIPS 2019
Near Neighbor: Who is the Fairest of Them All? NIPS 2019
Assessing Social and Intersectional Biases in Contextualized Word Representations NIPS 2019
Inherent Tradeoffs in Learning Fair Representations NIPS 2019
Exploring Human Gender Stereotypes with Word Association Test EMNLP 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019
Mitigating Gender and L1 Differences to Improve State and Trait Recognition INTERSPEECH 2019