Fairness

Elastic weight consolidation for better bias inoculation EACL 2021 Eliciting Bias in Question Answering Models through Ambiguity EMNLP 2021 EnD: Entangling and Disentangling Deep Representations for Bias Correction CVPR 2021 Enhancing Model Robustness and Fairness with Causality: A Regularization Approach EMNLP 2021 Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021 Environment Inference for Invariant Learning ICML 2021 Ethical and Technological Challenges of Conversational AI Interspeech 2021 Evaluating Debiasing Techniques for Intersectional Biases EMNLP 2021 Evaluating Gender Bias in Hindi-English Machine Translation ACL 2021 Evaluating model performance under worst-case subpopulations NeurIPS 2021 Evaluating Model Robustness and Stability to Dataset Shift AISTATS 2021 Evaluation of Summarization Systems across Gender, Age, and Race EMNLP 2021 Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021 Explainable Models with Consistent Interpretations AAAI 2021 Explaining Latent Representations with a Corpus of Examples NeurIPS 2021 Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives EMNLP 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021 Facility’s Perspective to Fair Facility Location Problems AAAI 2021 Fair Algorithms for Multi-Agent Multi-Armed Bandits NeurIPS 2021 Fair and Efficient Allocations under Lexicographic Preferences AAAI 2021 Fair and Efficient Allocations under Subadditive Valuations AAAI 2021 Fair and Efficient Allocations with Limited Demands AAAI 2021 Fair and Efficient Online Allocations with Normalized Valuations AAAI 2021 Fair and Efficient Resource Allocation with Partial Information IJCAI 2021 Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021