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Interpretability

7,452 papers

Papers per year

5
14
488
1716
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Papers

Interpreting Neural Networks as Quantitative Argumentation Frameworks AAAI 2021
Strong Explanations in Abstract Argumentation AAAI 2021
On the Tractability of SHAP Explanations AAAI 2021
Does Explainable Artificial Intelligence Improve Human Decision-Making? AAAI 2021
The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits AAAI 2021
TabNet: Attentive Interpretable Tabular Learning 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
Learning Prediction Intervals for Model Performance AAAI 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability AAAI 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond AAAI 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021
Neural Utility Functions AAAI 2021
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions AAAI 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021
Interpretable Sequence Classification via Discrete Optimization AAAI 2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021
Expected Eligibility Traces AAAI 2021
Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021
Interpreting Multivariate Shapley Interactions in DNNs AAAI 2021
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021