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Interpretability

7318 directly classified papers

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Papers

Large Scale Evaluation of Importance Maps in Automatic Speech Recognition INTERSPEECH 2020
Explaining the Explainer: A First Theoretical Analysis of LIME AISTATS 2020
Interpretable Deep Gaussian Processes with Moments AISTATS 2020
LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020
LS-Tree: Model Interpretation When the Data Are Linguistic AAAI 2020
Interpretable and Differentially Private Predictions AAAI 2020
Justification-Based Reliability in Machine Learning AAAI 2020
SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM AAAI 2020
Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020
Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020
Abstract Interpretation of Decision Tree Ensemble Classifiers AAAI 2020
Synthesizing Action Sequences for Modifying Model Decisions AAAI 2020
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces AAAI 2020
Word-Level Contextual Sentiment Analysis with Interpretability AAAI 2020
A Constraint-Based Approach to Learning and Explanation AAAI 2020
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis AAAI 2020
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines AAAI 2020
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks AAAI 2020
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning AAAI 2020
Measuring Information Propagation in Literary Social Networks EMNLP 2020
Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations EMNLP 2020
Translation Quality Estimation by Jointly Learning to Score and Rank EMNLP 2020
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020