Co-occurring keywords · papers mentioning both
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