Interpretability

Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings AISTATS 2022 Learning low-dimensional generalizable natural features from retina using a U-net NeurIPS 2022 Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models MLHC 2022 Learning Recourse on Instance Environment to Enhance Prediction Accuracy NeurIPS 2022 Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences NeurIPS 2022 Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images IJCAI 2022 Learning to Complete Code with Sketches ICLR 2022 Learning to Explain Selectively: A Case Study on Question Answering EMNLP 2022 Learning to Generate Explanation from e-Hospital Services for Medical Suggestion COLING 2022 Learning to Generate Inversion-Resistant Model Explanations NeurIPS 2022 Learning to Scaffold: Optimizing Model Explanations for Teaching NeurIPS 2022 Learning with Rejection for Abstractive Text Summarization EMNLP 2022 Legal and Political Stance Detection of SCOTUS Language EMNLP 2022 Let the CAT out of the bag: Contrastive Attributed explanations for Text EMNLP 2022 LieGG: Studying Learned Lie Group Generators NeurIPS 2022 LIMESegment: Meaningful, Realistic Time Series Explanations AISTATS 2022 LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022 Linear Adversarial Concept Erasure ICML 2022 Linear tree shap NeurIPS 2022 Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ACL 2022 Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF NeurIPS 2022 LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models EMNLP 2022 Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract) IJCAI 2022 Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022 Locally Distributed Activation Vectors for Guided Feature Attribution COLING 2022