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Fairness

3337 directly classified papers

Papers per year

Papers

Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021
Improving Factual Consistency of Abstractive Summarization on Customer Feedback ACL 2021
Evaluating Gender Bias in Hindi-English Machine Translation ACL 2021
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants ACL 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization ICCV 2021
Fair Selective Classification Via Sufficiency ICML 2021
Hidden Biases in Unreliable News Detection Datasets EACL 2021
Alternative Microfoundations for Strategic Classification ICML 2021
Towards Fair and Transparent Algorithmic Systems IJCAI 2021
Towards Reducing Biases in Combining Multiple Experts Online IJCAI 2021
Improving Factual Consistency Between a Response and Persona Facts EACL 2021
Intrinsic Bias Metrics Do Not Correlate with Application Bias ACL 2021
Diverse Adversaries for Mitigating Bias in Training EACL 2021
Strategic Classification in the Dark ICML 2021
Improving Calibration for Long-Tailed Recognition CVPR 2021
EnD: Entangling and Disentangling Deep Representations for Bias Correction CVPR 2021
Classification with abstention but without disparities UAI 2021
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers NAACL 2021
Detoxifying Language Models Risks Marginalizing Minority Voices NAACL 2021
HONEST: Measuring Hurtful Sentence Completion in Language Models NAACL 2021
Gender and Representation Bias in GPT-3 Generated Stories NAACL 2021
Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection EACL 2021
Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract) IJCAI 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python JMLR 2021
Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing EACL 2021