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Interpretability

7318 directly classified papers

Papers per year

Papers

Hybrid Knowledge Routed Modules for Large-scale Object Detection NIPS 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering NIPS 2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information EMNLP 2018
Interpreting Neural Networks with Nearest Neighbors EMNLP 2018
Verifiable Reinforcement Learning via Policy Extraction NIPS 2018
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks CVPR 2018
Interpret Neural Networks by Identifying Critical Data Routing Paths CVPR 2018
What Have We Learned From Deep Representations for Action Recognition? CVPR 2018
What Do Deep Networks Like to See? CVPR 2018
Visual Feature Attribution Using Wasserstein GANs CVPR 2018
Visual Question Reasoning on General Dependency Tree CVPR 2018
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering CVPR 2018
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning CVPR 2018
An Analysis of Encoder Representations in Transformer-Based Machine Translation EMNLP 2018
Wasserstein Introspective Neural Networks CVPR 2018
Robust Physical-World Attacks on Deep Learning Visual Classification CVPR 2018
Efficient Formal Safety Analysis of Neural Networks NIPS 2018
DeepPINK: reproducible feature selection in deep neural networks NIPS 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction NIPS 2018
Semantically Equivalent Adversarial Rules for Debugging NLP models ACL 2018
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking EMNLP 2018
Rule induction for global explanation of trained models EMNLP 2018
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models EMNLP 2018
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis EMNLP 2018
Importance of Self-Attention for Sentiment Analysis EMNLP 2018