← Application Areas
Machine Learning › Application Areas ›

Fairness

3337 directly classified papers

Papers per year

Papers

Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination AAAI 2020
Equalized odds postprocessing under imperfect group information AISTATS 2020
Auditing ML Models for Individual Bias and Unfairness AISTATS 2020
Adapting Text Embeddings for Causal Inference UAI 2020
TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings SEMEVAL 2020
TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa SEMEVAL 2020
Deep Fair Clustering for Visual Learning CVPR 2020
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020
NestedVAE: Isolating Common Factors via Weak Supervision CVPR 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives CONLL 2020
On the Robustness of Data-Driven Controllers for Linear Systems L4DC 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards EMNLP 2020
A negative case analysis of visual grounding methods for VQA ACL 2020
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL 2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem ACL 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities ACL 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting ACL 2020
Towards Understanding Gender Bias in Relation Extraction ACL 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ACL 2020