Fairness

TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings SemEval 2020 Themis: Fair and Efficient GPU Cluster Scheduling NSDI 2020 TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa SemEval 2020 The State and Fate of Linguistic Diversity and Inclusion in the NLP World ACL 2020 Too Relaxed to Be Fair ICML 2020 Toward Gender-Inclusive Coreference Resolution ACL 2020 Towards a Comprehensive Assessment of Speech Intelligibility for Pathological Speech Interspeech 2020 Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage EMNLP 2020 Towards Debiasing NLU Models from Unknown Biases EMNLP 2020 Towards Debiasing Sentence Representations ACL 2020 Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020 Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020 Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning AAAI 2020 Towards Threshold Invariant Fair Classification UAI 2020 Towards Understanding Gender Bias in Relation Extraction ACL 2020 Trade the System Efficiency for the Income Equality of Drivers in Rideshare IJCAI 2020 Training individually fair ML models with sensitive subspace robustness ICLR 2020 Two Simple Ways to Learn Individual Fairness Metrics from Data ICML 2020 Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias EMNLP 2020 Understanding Racial Disparities in Automatic Speech Recognition: The Case of Habitual “be” Interspeech 2020 Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis COLING 2020 Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias COLING 2020 UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020 Unsupervised Discovery of Implicit Gender Bias EMNLP 2020 Utility is in the Eye of the User: A Critique of NLP Leaderboards EMNLP 2020