Interpretability

Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs EMNLP 2019 Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications NAACL 2019 Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts EMNLP 2019 It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning CVPR 2019 Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019 Latent Structure Models for Natural Language Processing ACL 2019 Layerwise Relevance Visualization in Convolutional Text Graph Classifiers EMNLP 2019 Learning by Abstraction: The Neural State Machine NeurIPS 2019 Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning NeurIPS 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019 Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer IJCAI 2019 Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach NAACL 2019 Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019 Learning Neurosymbolic Generative Models via Program Synthesis ICML 2019 Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making AAAI 2019 Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization AAAI 2019 Learning Rules-First Classifiers AISTATS 2019 Learning to Explain With Complemental Examples CVPR 2019 Learning to Plan with Logical Automata RSS 2019 Learning what and where to attend ICLR 2019 LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos ICLR 2019 Lightly-supervised Representation Learning with Global Interpretability NAACL 2019 Logical Explanations for Deep Relational Machines Using Relevance Information JMLR 2019 Logic-Based Sequential Decision-Making AAAI 2019