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Interpretability

7318 directly classified papers

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Papers

Neural Belief Reasoner IJCAI 2020
Turning 30: New Ideas in Inductive Logic Programming IJCAI 2020
Red Dragon AI at TextGraphs 2020 Shared Task : LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking COLING 2020
Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base COLING 2020
Generalized and Scalable Optimal Sparse Decision Trees ICML 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge ICML 2020
DeepCoDA: personalized interpretability for compositional health data ICML 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis ICML 2020
How recurrent networks implement contextual processing in sentiment analysis ICML 2020
Concise Explanations of Neural Networks using Adversarial Training ICML 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime ICML 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification ICML 2020
Adversarial Robustness for Code ICML 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning ICML 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP UAI 2020
Weakly-Supervised Action Localization by Generative Attention Modeling CVPR 2020
A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020
A Multi-Hypothesis Approach to Color Constancy CVPR 2020
On the Detection of Digital Face Manipulation CVPR 2020
Structure-Preserving Super Resolution With Gradient Guidance CVPR 2020
SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020
Deepstrip: High-Resolution Boundary Refinement CVPR 2020
Multi-Modal Attention for Speech Emotion Recognition INTERSPEECH 2020