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Fairness

1139 directly classified papers

Papers per year

Papers

Fairness constraints can help exact inference in structured prediction NIPS 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NIPS 2020
Sample Complexity of Uniform Convergence for Multicalibration NIPS 2020
Fair Multiple Decision Making Through Soft Interventions NIPS 2020
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations AAAI 2020
Towards Threshold Invariant Fair Classification UAI 2020
Fair Contextual Multi-Armed Bandits: Theory and Experiments UAI 2020
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context ACL 2020
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs AACL 2020
Towards Understanding Gender Bias in Relation Extraction ACL 2020
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling ACL 2020
Understanding Racial Disparities in Automatic Speech Recognition: The Case of Habitual “be” INTERSPEECH 2020
Verifying Individual Fairness in Machine Learning Models UAI 2020
Trade the System Efficiency for the Income Equality of Drivers in Rideshare IJCAI 2020
Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems IJCAI 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness IJCAI 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020
Equalized odds postprocessing under imperfect group information AISTATS 2020
Auditing ML Models for Individual Bias and Unfairness AISTATS 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models COLING 2020
Towards Debiasing NLU Models from Unknown Biases EMNLP 2020
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias EMNLP 2020