Interpretability

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models Interspeech 2020 Ensemble Distribution Distillation ICLR 2020 ERASER: A Benchmark to Evaluate Rationalized NLP Models ACL 2020 ESPRIT: Explaining Solutions to Physical Reasoning Tasks ACL 2020 ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing SemEval 2020 Evaluating and Aggregating Feature-based Model Explanations IJCAI 2020 Evaluating Attribution for Graph Neural Networks NeurIPS 2020 Evaluating Attribution Methods using White-Box LSTMs EMNLP 2020 Evaluating Commonsense in Pre-Trained Language Models AAAI 2020 Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL 2020 Evaluating Explanation Methods for Neural Machine Translation ACL 2020 Evaluating Factuality in Generation with Dependency-level Entailment EMNLP 2020 Examining the rhetorical capacities of neural language models EMNLP 2020 exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models ACL 2020 Explainability in Autonomous Pedagogical Agents AAAI 2020 Explainable Agency in Reinforcement Learning Agents AAAI 2020 Explainable and Sparse Representations of Academic Articles for Knowledge Exploration COLING 2020 Explainable Automated Fact-Checking for Public Health Claims EMNLP 2020 Explainable Clinical Decision Support from Text EMNLP 2020 Explainable Inference on Sequential Data via Memory-Tracking IJCAI 2020 Explainable k-Means and k-Medians Clustering ICML 2020 Explainable Object-Induced Action Decision for Autonomous Vehicles CVPR 2020 Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability IJCAI 2020 Explainable Reinforcement Learning through a Causal Lens AAAI 2020 Explainable Voting NeurIPS 2020