Interpretability
8,292 papers
Papers per year
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1
1
1
1
5
2
10
8
14
28
84
204
363
512
710
850
1,001
1,688
2,137
671
'10
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'25
Papers
Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract)
IJCAI 2018
Visualizations for an Explainable Planning Agent
IJCAI 2018
Visualizing and Understanding Atari Agents
ICML 2018
Visualizing Phoneme Category Adaptation in Deep Neural Networks
Interspeech 2018
Visual Question Reasoning on General Dependency Tree
CVPR 2018
Visual Referring Expression Recognition: What Do Systems Actually Learn?
NAACL 2018
Vocal Biomarkers for Cognitive Performance Estimation in a Working Memory Task
Interspeech 2018
Wasserstein Introspective Neural Networks
CVPR 2018
What Do Deep Networks Like to See?
CVPR 2018
What Have We Learned From Deep Representations for Action Recognition?
CVPR 2018
Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions
COLING 2018
A Bayesian Framework for Learning Rule Sets for Interpretable Classification
JMLR 2017
Acceptability Semantics for Weighted Argumentation Frameworks
IJCAI 2017
Acoustic Properties of Canonical and Non-Canonical Stress in French, Turkish, Armenian and Brazilian Portuguese
Interspeech 2017
A Deep Network with Visual Text Composition Behavior
ACL 2017
A Multidimensional Lexicon for Interpersonal Stancetaking
ACL 2017
A Regularized Framework for Sparse and Structured Neural Attention
NeurIPS 2017
Argumentation Quality Assessment: Theory vs. Practice
ACL 2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
NeurIPS 2017
A Unified Approach to Interpreting Model Predictions
NeurIPS 2017
Automatic Extraction of News Values from Headline Text
EACL 2017
Axiomatic Attribution for Deep Networks
ICML 2017
Chatbot with a Discourse Structure-Driven Dialogue Management
EACL 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
CVPR 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
ICML 2017