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

The Intelligible and Effective Graph Neural Additive Network NIPS 2024
Sparse Activations for Interpretable Disease Grading MIDL 2023
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires ACL 2023
Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023
On Tackling Explanation Redundancy in Decision Trees (Extended Abstract) IJCAI 2023
Interpretable Neural-Symbolic Concept Reasoning ICML 2023
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction ACL 2023
Data-Driven Subgroup Identification for Linear Regression ICML 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings NIPS 2023
Feature Learning for Interpretable, Performant Decision Trees NIPS 2023
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network ICML 2023
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023
ProtoSeg: Interpretable Semantic Segmentation With Prototypical Parts WACV 2023
Sample Efficient Paradigms for Personalized Assessment of Taskable AI Systems IJCAI 2023
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023
Schema-learning and rebinding as mechanisms of in-context learning and emergence NIPS 2023
Learning Prescriptive ReLU Networks ICML 2023
Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data UAI 2023
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text AACL 2022
Optimizing Binary Decision Diagrams with MaxSAT for Classification AAAI 2022
DNNR: Differential Nearest Neighbors Regression ICML 2022
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text IJCNLP 2022
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning AAAI 2022
IM2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation EMNLP 2022
Discovering Interpretable Data-to-Sequence Generators AAAI 2022