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Fairness

3337 directly classified papers

Papers per year

Papers

Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020
Towards Debiasing NLU Models from Unknown Biases EMNLP 2020
LOGAN: Local Group Bias Detection by Clustering EMNLP 2020
Unsupervised Discovery of Implicit Gender Bias EMNLP 2020
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings EMNLP 2020
UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020
Price of Fairness in Budget Division and Probabilistic Social Choice AAAI 2020
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NIPS 2020
Neuron Shapley: Discovering the Responsible Neurons NIPS 2020
Fairness without Demographics through Adversarially Reweighted Learning NIPS 2020
AViD Dataset: Anonymized Videos from Diverse Countries NIPS 2020
Investigating Gender Bias in Language Models Using Causal Mediation Analysis NIPS 2020
Deep F-Measure Maximization for End-to-End Speech Understanding INTERSPEECH 2020
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020
Pairwise Fairness for Ranking and Regression AAAI 2020
Fairness constraints can help exact inference in structured prediction NIPS 2020
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights AAAI 2020
A General Approach to Fairness with Optimal Transport AAAI 2020
Model Class Reliance for Random Forests NIPS 2020
Fair Hierarchical Clustering NIPS 2020
Achieving Equalized Odds by Resampling Sensitive Attributes NIPS 2020
Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020
Neural Belief Reasoner IJCAI 2020
Fair Division Through Information Withholding AAAI 2020
Designing Committees for Mitigating Biases AAAI 2020