Abstract: Local Interpretable Model-agnostic Explanations (LIME) is an interpretable method used to explain the predictions of machine learning models. It generates perturbed samples around an ...
[2025/12/25] We've released RoboCasa evaluation support, which was trained without pretraining and reached SOTA performance. Check out more details in examples/Robocasa_tabletop. [2025/12/15] ...
Distribution-Aware Neural Additive Models: Robust Interpretable Deep Learning with Feature Selection
Abstract: Neural Additive Models (NAMs) have gained traction as an interpretable class of deep learning models, offering a favorable trade-off between transparency and accuracy. However, the ...
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