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Interpretability

7,452 papers

Papers per year

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14
488
1716
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Papers

Do Human Rationales Improve Machine Explanations? ACL 2019
Analyzing the Structure of Attention in a Transformer Language Model ACL 2019
Faithful Multimodal Explanation for Visual Question Answering ACL 2019
Evaluating Recurrent Neural Network Explanations ACL 2019
Modeling Paths for Explainable Knowledge Base Completion ACL 2019
Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English ACL 2019
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations ACL 2019
Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains ACL 2019
An Analysis of Source-Side Grammatical Errors in NMT ACL 2019
Open Sesame: Getting inside BERT’s Linguistic Knowledge ACL 2019
GEval: Tool for Debugging NLP Datasets and Models ACL 2019
What Does BERT Look at? An Analysis of BERT’s Attention ACL 2019
Meaning Representation of Null Instantiated Semantic Roles in FrameNet ACL 2019
A Framework for Annotating ‘Related Works’ to Support Feedback to Novice Writers ACL 2019
Towards Automatic Variant Analysis of Ancient Devotional Texts ACL 2019
Understanding the Evolution of Circular Economy through Language Change ACL 2019
Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning ACML 2019
What made you do this? Understanding black-box decisions with sufficient input subsets AISTATS 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019
Learning Rules-First Classifiers AISTATS 2019
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019
Interpretable Cascade Classifiers with Abstention AISTATS 2019
Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment CONLL 2019