conftrace_

interpretable model

158 papers

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Co-occurring keywords

neural network (6616) interpretable machine learning (140) decision tree (322) feature selection (649) attention mechanism (4001) large language model (13587) model interpretability (519) feature learning (1311) representation learning (6206) concept bottleneck model (43)

Papers

Learning Differentiable Programs with Admissible Neural Heuristics NIPS 2020
Explainable and Sparse Representations of Academic Articles for Knowledge Exploration COLING 2020
LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020
PyDL8.5: a Library for Learning Optimal Decision Trees IJCAI 2020
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees IJCAI 2019
Lightly-supervised Representation Learning with Global Interpretability NAACL 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision NIPS 2019
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning AAAI 2019
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
Learning Rules-First Classifiers AISTATS 2019
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso AAAI 2019
On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters INTERSPEECH 2019
Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning IJCAI 2019
Solving Interpretable Kernel Dimensionality Reduction NIPS 2019
Learning Conditioned Graph Structures for Interpretable Visual Question Answering NIPS 2018
Improving Simple Models with Confidence Profiles NIPS 2018
Tensor Product Generation Networks for Deep NLP Modeling NAACL 2018
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph ACL 2018
Improving Moderation of Online Discussions via Interpretable Neural Models EMNLP 2018
Boolean Decision Rules via Column Generation NIPS 2018
A Provable Algorithm for Learning Interpretable Scoring Systems AISTATS 2018
Learning Certifiably Optimal Rule Lists for Categorical Data JMLR 2018
Scalable Bayesian Rule Lists ICML 2017
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL 2017