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Interpretability

7318 directly classified papers

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Papers

Interpreting Neural Networks as Quantitative Argumentation Frameworks AAAI 2021
Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms AAAI 2021
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021
Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains EMNLP 2021
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion INTERSPEECH 2021
Explaining Deep Learning Models for Speech Enhancement INTERSPEECH 2021
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach ICML 2021
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021
Optimal Counterfactual Explanations in Tree Ensembles ICML 2021
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021
LOGAN: Local Group Bias Detection by Clustering EMNLP 2020
An information theoretic view on selecting linguistic probes EMNLP 2020
Contextual Modulation for Relation-Level Metaphor Identification EMNLP 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP 2020
Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension EMNLP 2020
“I’d rather just go to bed”: Understanding Indirect Answers EMNLP 2020
SynET: Synonym Expansion using Transitivity EMNLP 2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains EMNLP 2020
An Empirical Investigation of Beam-Aware Training in Supertagging EMNLP 2020
Defining Explanation in an AI Context EMNLP 2020
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic IJCAI 2020
NeurASP: Embracing Neural Networks into Answer Set Programming IJCAI 2020
Human-Driven FOL Explanations of Deep Learning IJCAI 2020
Evaluating and Aggregating Feature-based Model Explanations IJCAI 2020