Fairness

Fair regression with Wasserstein barycenters NeurIPS 2020 Fair Resource Allocation in Federated Learning ICLR 2020 Fairwashing explanations with off-manifold detergent ICML 2020 FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020 Faking Fairness via Stealthily Biased Sampling AAAI 2020 Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach EMNLP 2020 Feature Noise Induces Loss Discrepancy Across Groups ICML 2020 FIND: Human-in-the-Loop Debugging Deep Text Classifiers EMNLP 2020 Fine-tuning Neural Machine Translation on Gender-Balanced Datasets COLING 2020 FNNC: Achieving Fairness through Neural Networks IJCAI 2020 Fortifying Toxic Speech Detectors Against Veiled Toxicity EMNLP 2020 From ImageNet to Image Classification: Contextualizing Progress on Benchmarks ICML 2020 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020 FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English AAAI 2020 Gender and sentiment, critics and authors: a dataset of Norwegian book reviews COLING 2020 Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ACL 2020 Gender Coreference and Bias Evaluation at WMT 2020 EMNLP 2020 Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL 2020 Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus ACL 2020 Generating Ethnographic Models from Communities’ Online Data ACL 2020 Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection ACL 2020 Generating Natural Counterfactual Visual Explanations IJCAI 2020 Graduate Employment Prediction with Bias AAAI 2020 Group-Fair Online Allocation in Continuous Time NeurIPS 2020 HINT3: Raising the bar for Intent Detection in the Wild EMNLP 2020