Interpretability
512 papers
Papers per year
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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