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Interpretability

349 directly classified papers

Papers per year

Papers

HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021
Interpreting Multivariate Shapley Interactions in DNNs AAAI 2021
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021
Evidence Inference Networks for Interpretable Claim Verification AAAI 2021
Creating Interpretable Data-Driven Approaches for Remote Health Monitoring AAAI 2021
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract) AAAI 2021
MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract) AAAI 2021
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ACL 2021
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ACL 2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making ACL 2021
Learning to Explain: Generating Stable Explanations Fast ACL 2021
CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency CVPR 2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds CVPR 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021
A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021
Quantifying Explainers of Graph Neural Networks in Computational Pathology CVPR 2021
Learning Decision Trees Recurrently Through Communication CVPR 2021
Artificial Text Detection via Examining the Topology of Attention Maps EMNLP 2021
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers EMNLP 2021
Contrastive Explanations for Model Interpretability EMNLP 2021
Do Language Models Know the Way to Rome? EMNLP 2021
Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021