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interpretable model

175 papers

Papers

Unified Dual-view Cognitive Model for Interpretable Claim Verification ACL 2021 What Changed? Interpretable Model Comparison IJCAI 2021 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 ERASER: A Benchmark to Evaluate Rationalized NLP Models ACL 2020 Explainable and Sparse Representations of Academic Articles for Knowledge Exploration COLING 2020 Explainable Clinical Decision Support from Text EMNLP 2020 Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition ACL 2020 Interpretable Companions for Black-Box Models AISTATS 2020 Interpretable Models for Understanding Immersive Simulations IJCAI 2020 Learning Differentiable Programs with Admissible Neural Heuristics NeurIPS 2020 Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification EMNLP 2020 Learning Global Transparent Models consistent with Local Contrastive Explanations NeurIPS 2020 Learning Interpretable Models in the Property Specification Language IJCAI 2020 Learning Interpretable Models using Soft Integrity Constraints ACML 2020 Learning Optimal Decision Trees Using Caching Branch-and-Bound Search AAAI 2020 Learning outside the Black-Box: The pursuit of interpretable models NeurIPS 2020 LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020 On Building an Interpretable Topic Modeling Approach for the Urdu Language IJCAI 2020 PyDL8.5: a Library for Learning Optimal Decision Trees IJCAI 2020 Recent Developments in Boolean Matrix Factorization IJCAI 2020 A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees IJCAI 2019 Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning IJCAI 2019 Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019 Interpretable Predictive Modeling for Climate Variables with Weighted Lasso AAAI 2019 Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning AAAI 2019