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Interpretability

7318 directly classified papers

Papers per year

Papers

A Hierarchical Neural Attention-based Text Classifier EMNLP 2018
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style EMNLP 2018
Visual Feature Attribution Using Wasserstein GANs CVPR 2018
Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations ICML 2018
A Symbolic Approach to Explaining Bayesian Network Classifiers IJCAI 2018
Automatic Gating of Attributes in Deep Structure IJCAI 2018
Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis ACL 2018
Inherent Biases in Reference-based Evaluation for Grammatical Error Correction ACL 2018
The price of debiasing automatic metrics in natural language evalaution ACL 2018
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph ACL 2018
Cold-Start Aware User and Product Attention for Sentiment Classification ACL 2018
Visual Referring Expression Recognition: What Do Systems Actually Learn? NAACL 2018
360° Stance Detection NAACL 2018
Same-Decision Probability: Threshold Robustness and Application to Explanation PGM 2018
Syntactical Analysis of the Weaknesses of Sentiment Analyzers EMNLP 2018
Formal Verification of Bayesian Network Classifiers PGM 2018
Exploring How Phone Classification Neural Networks Learn Phonetic Information by Visualising and Interpreting Bottleneck Features INTERSPEECH 2018
Visualizing Phoneme Category Adaptation in Deep Neural Networks INTERSPEECH 2018
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018
Stronger Generalization Bounds for Deep Nets via a Compression Approach ICML 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018
Nonparametric variable importance using an augmented neural network with multi-task learning ICML 2018
Visualizing and Understanding Atari Agents ICML 2018
Programmatically Interpretable Reinforcement Learning ICML 2018