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Interpretability

7318 directly classified papers

Papers per year

Papers

Learning Explanations from Language Data EMNLP 2018
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation EMNLP 2018
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style EMNLP 2018
Can LSTM Learn to Capture Agreement? The Case of Basque EMNLP 2018
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures EMNLP 2018
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension EMNLP 2018
Interpretable Emoji Prediction via Label-Wise Attention LSTMs EMNLP 2018
Discourse Coherence: Concurrent Explicit and Implicit Relations ACL 2018
Iterative Recursive Attention Model for Interpretable Sequence Classification EMNLP 2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information EMNLP 2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference EMNLP 2018
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM EMNLP 2018
Understanding Convolutional Neural Networks for Text Classification EMNLP 2018
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models EMNLP 2018
Making the v in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering CVPR 2017
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation EMNLP 2017
Linguistically Regularized LSTM for Sentiment Classification ACL 2017
Argumentation Quality Assessment: Theory vs. Practice ACL 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NIPS 2017
From Red Wine to Red Tomato: Composition With Context CVPR 2017
Structural Embedding of Syntactic Trees for Machine Comprehension EMNLP 2017
Rotated Word Vector Representations and their Interpretability EMNLP 2017
QUINT: Interpretable Question Answering over Knowledge Bases EMNLP 2017
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network NIPS 2017
Learning to Predict Charges for Criminal Cases with Legal Basis EMNLP 2017