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Fairness

1,279 papers

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Papers

Towards Fair, Equitable, and Efficient Peer Review AAAI 2021 Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning NeurIPS 2021 Uncovering Implicit Gender Bias in Narratives through Commonsense Inference EMNLP 2021 Uncovering Latent Biases in Text: Method and Application to Peer Review AAAI 2021 Understanding and Mitigating Annotation Bias in Facial Expression Recognition ICCV 2021 Unintended Selection: Persistent Qualification Rate Disparities and Interventions NeurIPS 2021 Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens EMNLP 2021 Using Gender- and Polarity-Informed Models to Investigate Bias ACL 2021 VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services AAAI 2021 “Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models EMNLP 2021 A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations AAAI 2020 Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems IJCAI 2020 A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020 Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020 Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NeurIPS 2020 A negative case analysis of visual grounding methods for VQA ACL 2020 An Information-Theoretic Quantification of Discrimination with Exempt Features AAAI 2020 AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings COLING 2020 Auditing ML Models for Individual Bias and Unfairness AISTATS 2020 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020 Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020 CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020 Debiasing knowledge graph embeddings EMNLP 2020 Designing Committees for Mitigating Biases AAAI 2020