Interpretability

More Powerful Selective Kernel Tests for Feature Selection AISTATS 2020 MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning AAAI 2020 Multidimensional Shape Constraints ICML 2020 Multi-Modal Attention for Speech Emotion Recognition Interspeech 2020 Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis EMNLP 2020 Multi-Plane Program Induction with 3D Box Priors NeurIPS 2020 Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis ICML 2020 Neural Belief Reasoner IJCAI 2020 Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020 Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation EMNLP 2020 NeurASP: Embracing Neural Networks into Answer Set Programming IJCAI 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design CoRL 2020 NILE : Natural Language Inference with Faithful Natural Language Explanations ACL 2020 NLFIIT at SemEval-2020 Task 11: Neural Network Architectures for Detection of Propaganda Techniques in News Articles SemEval 2020 “None of the Above”: Measure Uncertainty in Dialog Response Retrieval ACL 2020 Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection ACL 2020 Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020 On 1/n neural representation and robustness NeurIPS 2020 On Completeness-aware Concept-Based Explanations in Deep Neural Networks NeurIPS 2020 On Correctness of Automatic Differentiation for Non-Differentiable Functions NeurIPS 2020 On Counterfactual Explanations under Predictive Multiplicity UAI 2020 On Identifiability in Transformers ICLR 2020 On the Detection of Digital Face Manipulation CVPR 2020 On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT COLING 2020