Skip to content
conftrace_

Fairness

3,574 papers

256
719
'20
'25

Papers

Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection EMNLP 2022 Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract) IJCAI 2022 Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness AAAI 2022 Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection COLING 2022 Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT NAACL 2022 Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving AAAI 2022 Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models NAACL 2022 X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization EMNLP 2022 Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond EMNLP 2022 You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings ACL 2022 Your fairness may vary: Pretrained language model fairness in toxic text classification ACL 2022 Abusive Language on Social Media Through the Legal Looking Glass ACL 2021 A Causal Approach for Unfair Edge Prioritization and Discrimination Removal ACML 2021 Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021 Achieving Proportionality up to the Maximin Item with Indivisible Goods AAAI 2021 Acoustic-Prosodic, Lexical and Demographic Cues to Persuasiveness in Competitive Debate Speeches Interspeech 2021 Adaptive Sampling for Minimax Fair Classification NeurIPS 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021 Addressing the Long-term Impact of ML Decisions via Policy Regret IJCAI 2021 Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021 Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021 Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants ACL 2021 Algorithms for Fairness in Sequential Decision Making AISTATS 2021