Interpretability

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics NeurIPS 2023 Learning to Binarize Continuous Features for Neuro-Rule Networks IJCAI 2023 Learning to Identify Critical States for Reinforcement Learning from Videos ICCV 2023 Learning to Receive Help: Intervention-Aware Concept Embedding Models NeurIPS 2023 Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling AAAI 2023 Learning Transformer Programs NeurIPS 2023 Learning where and when to reason in neuro-symbolic inference ICLR 2023 Learning with Explanation Constraints NeurIPS 2023 Learning with Logical Constraints but without Shortcut Satisfaction ICLR 2023 Legal Judgment Prediction: If You Are Going to Do It, Do It Right EMNLP 2023 Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation IJCAI 2023 LET: Leveraging Error Type Information for Grammatical Error Correction ACL 2023 Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation ACL 2023 Leveraging Argumentation for Generating Robust Sample-based Explanations IJCAI 2023 Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning EMNLP 2023 Lexicools at SemEval-2023 Task 10: Sexism Lexicon Construction via XAI SemEval 2023 LEXPLAIN: Improving Model Explanations via Lexicon Supervision ACL 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers EMNLP 2023 LINe: Out-of-Distribution Detection by Leveraging Important Neurons CVPR 2023 LM-Polygraph: Uncertainty Estimation for Language Models EMNLP 2023 Local Explanations for Reinforcement Learning AAAI 2023 Local Interpretation of Transformer Based on Linear Decomposition ACL 2023 Local Path Integration for Attribution AAAI 2023 Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI AAAI 2023