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Interpretability

7,318 papers

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Papers

Cluster Explanation via Polyhedral Descriptions ICML 2023
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations ICML 2023
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding ICML 2023
Shapley Based Residual Decomposition for Instance Analysis ICML 2023
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs ICML 2023
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions ICML 2023
Robust Perception through Equivariance ICML 2023
Computational Asymmetries in Robust Classification ICML 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration ICML 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023
When does Privileged information Explain Away Label Noise? ICML 2023
TRAK: Attributing Model Behavior at Scale ICML 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing ICML 2023
Constrained Monotonic Neural Networks ICML 2023
Explainability as statistical inference ICML 2023
A Closer Look at the Intervention Procedure of Concept Bottleneck Models ICML 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data ICML 2023
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023
Learning Prescriptive ReLU Networks ICML 2023
Defects of Convolutional Decoder Networks in Frequency Representation ICML 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023