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Interpretability

512 papers

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Papers

Task-Agnostic Graph Explanations NeurIPS 2022 The Architectural Bottleneck Principle EMNLP 2022 Towards Disentangling Information Paths with Coded ResNeXt NeurIPS 2022 Tracing and Manipulating intermediate values in Neural Math Problem Solvers EMNLP 2022 Trading Complexity for Sparsity in Random Forest Explanations AAAI 2022 Tsetlin Machine for Solving Contextual Bandit Problems NeurIPS 2022 Unifying Data Perspectivism and Personalization: An Application to Social Norms EMNLP 2022 Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features JMLR 2022 VICE: Variational Interpretable Concept Embeddings NeurIPS 2022 Visualizing the Relationship Between Encoded Linguistic Information and Task Performance ACL 2022 WeightedSHAP: analyzing and improving Shapley based feature attributions NeurIPS 2022 Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability NeurIPS 2022 Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021 Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021 A Framework to Learn with Interpretation NeurIPS 2021 ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality EMNLP 2021 A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation AAAI 2021 A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021 Artificial Text Detection via Examining the Topology of Attention Maps EMNLP 2021 Assessing the Reliability of Word Embedding Gender Bias Measures EMNLP 2021 Attention Flows are Shapley Value Explanations ACL 2021 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NeurIPS 2021 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ACL 2021 Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021 CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency CVPR 2021