← Core Methods
Machine Learning › Core Methods ›

Interpretability

349 directly classified papers

Papers per year

Papers

“Something Something Hota Hai!” An Explainable Approach towards Sentiment Analysis on Indian Code-Mixed Data EMNLP 2021
Tree in Tree: from Decision Trees to Decision Graphs NIPS 2021
Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021
Explanation-based Data Augmentation for Image Classification NIPS 2021
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models NIPS 2021
A Framework to Learn with Interpretation NIPS 2021
Improving Deep Learning Interpretability by Saliency Guided Training NIPS 2021
A Diagnostic Study of Explainability Techniques for Text Classification EMNLP 2020
Intrinsic Probing through Dimension Selection EMNLP 2020
Information-Theoretic Probing with Minimum Description Length EMNLP 2020
Evaluating Attribution for Graph Neural Networks NIPS 2020
Neuron Shapley: Discovering the Responsible Neurons NIPS 2020
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions NIPS 2020
Detecting Interactions from Neural Networks via Topological Analysis NIPS 2020
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations NIPS 2020
Regularizing Black-box Models for Improved Interpretability NIPS 2020
Model Interpretability through the lens of Computational Complexity NIPS 2020
Learning outside the Black-Box: The pursuit of interpretable models NIPS 2020
Explaining Knowledge Distillation by Quantifying the Knowledge CVPR 2020
SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters CVPR 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations CVPR 2020
Guided Variational Autoencoder for Disentanglement Learning CVPR 2020
A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020
Maintaining Quality in FEVER Annotation ACL 2020