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

Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health EMNLP 2021
A Framework to Learn with Interpretation NIPS 2021
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach NIPS 2021
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021
LassoNet: A Neural Network with Feature Sparsity JMLR 2021
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021
Predicting and Explaining French Grammatical Gender NAACL 2021
pRSL: Interpretable multi-label stacking by learning probabilistic rules UAI 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks AAAI 2021
Interpretable Sequence Classification via Discrete Optimization AAAI 2021
Interpretable Models for Understanding Immersive Simulations IJCAI 2020
Interpretable Companions for Black-Box Models AISTATS 2020
Learning Interpretable Models in the Property Specification Language IJCAI 2020
Learning Interpretable Models using Soft Integrity Constraints ACML 2020
On Building an Interpretable Topic Modeling Approach for the Urdu Language IJCAI 2020
Learning outside the Black-Box: The pursuit of interpretable models NIPS 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models ACL 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NIPS 2020
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition ACL 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations NIPS 2020
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search AAAI 2020
Recent Developments in Boolean Matrix Factorization IJCAI 2020
Explainable Clinical Decision Support from Text EMNLP 2020
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification EMNLP 2020