Interpretability

A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 A Prism Module for Semantic Disentanglement in Name Entity Recognition ACL 2019 A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing EMNLP 2019 Are Red Roses Red? Evaluating Consistency of Question-Answering Models ACL 2019 Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection ACL 2019 ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification ACL 2019 A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation ACL 2019 A Sociolinguistic Study of Online Echo Chambers on Twitter NAACL 2019 Assessing Knee OA Severity with CNN attention-based end-to-end architectures MIDL 2019 Assessing the Semantic Space Bias Caused by ASR Error Propagation and its Effect on Spoken Document Summarization Interspeech 2019 A Structural Probe for Finding Syntax in Word Representations NAACL 2019 Attention is not Explanation NAACL 2019 Attention is not not Explanation EMNLP 2019 Attentive State-Space Modeling of Disease Progression NeurIPS 2019 Attribution-Based Confidence Metric For Deep Neural Networks NeurIPS 2019 Auditing Deep Learning processes through Kernel-based Explanatory Models EMNLP 2019 Augmenting Neural Networks with First-order Logic ACL 2019 Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth ICML 2019 Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA ACL 2019 Balancing Explicability and Explanations in Human-Aware Planning IJCAI 2019 Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations IJCAI 2019 BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos NeurIPS 2019 BERT Rediscovers the Classical NLP Pipeline ACL 2019 Beyond the Single Neuron Convex Barrier for Neural Network Certification NeurIPS 2019 Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ICML 2019