← Core AI
Artificial Intelligence › Core AI ›

Interpretability

7318 directly classified papers

Papers per year

Papers

Interactive Visualization for Linguistic Structure EMNLP 2017
A Bayesian Framework for Learning Rule Sets for Interpretable Classification JMLR 2017
Learning deep structured network for weakly supervised change detection IJCAI 2017
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness IJCNLP 2017
Dynamic Multi-View Hashing for Online Image Retrieval IJCAI 2017
Coordination Boundary Identification with Similarity and Replaceability IJCNLP 2017
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL 2017
What does Attention in Neural Machine Translation Pay Attention to? IJCNLP 2017
Mining Object Parts From CNNs via Active Question-Answering CVPR 2017
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation EMNLP 2017
Rich Time Series Classification Using Temporal Logic RSS 2017
Induction of Interpretable Possibilistic Logic Theories from Relational Data IJCAI 2017
iSurvive: An Interpretable, Event-time Prediction Model for mHealth ICML 2017
ConStance: Modeling Annotation Contexts to Improve Stance Classification EMNLP 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NIPS 2017
Fuzzy Logic Model for Digital Forensics: A Trade-off between Accuracy, Complexity and Interpretability IJCAI 2017
Real Time Image Saliency for Black Box Classifiers NIPS 2017
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks IJCNLP 2017
Chatbot with a Discourse Structure-Driven Dialogue Management EACL 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations IJCAI 2017
On Automating the Doctrine of Double Effect IJCAI 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning CVPR 2017
Specular Highlight Removal in Facial Images CVPR 2017
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning IJCAI 2017
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes SEMEVAL 2017