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Interpretability

173 directly classified papers

Papers per year

Papers

Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification EMNLP 2022
Trading Complexity for Sparsity in Random Forest Explanations AAAI 2022
Scaling Up Influence Functions AAAI 2022
Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models AAAI 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference AAAI 2022
Optimal Local Explainer Aggregation for Interpretable Prediction AAAI 2022
AI Explainability 360: Impact and Design AAAI 2022
Actionable Model-Centric Explanations (Student Abstract) AAAI 2022
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? EMNLP 2022
Interpretable Generative Adversarial Networks AAAI 2022
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees AISTATS 2022
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit NIPS 2022
Learning Recourse on Instance Environment to Enhance Prediction Accuracy NIPS 2022
Explaining Preferences with Shapley Values NIPS 2022
Tsetlin Machine for Solving Contextual Bandit Problems NIPS 2022
First is Better Than Last for Language Data Influence NIPS 2022
Fuzzy Learning Machine NIPS 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NIPS 2022
Introspective Learning : A Two-Stage approach for Inference in Neural Networks NIPS 2022
Unifying Data Perspectivism and Personalization: An Application to Social Norms EMNLP 2022
Let the CAT out of the bag: Contrastive Attributed explanations for Text EMNLP 2022
Interpreting Language Models with Contrastive Explanations EMNLP 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features JMLR 2022
Attention Flows are Shapley Value Explanations ACL 2021
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation IJCNLP 2021