Public facing deeplift repo
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Updated
Apr 28, 2022 - Python
Public facing deeplift repo
Integrated gradients attribution method implemented in PyTorch
SyReNN: Symbolic Representations for Neural Networks
simple implementation of Expected Gradients and Integrated Gradients by pytorch
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
Attribution methods that explain image classification models, implemented in PyTorch, and support batch input and GPU.
Exercise on interpretability with integrated gradients.
Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)
TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems
This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"
Scripts to reproduce results within the following manuscript: Perez, I., Skalski, P., Barns-Graham, A., Wong, J. and Sutton, D. (2022) Attribution of Predictive Uncertainties in Classification Models, 38th Conference on Uncertainty in Artificial Intelligence (UAI), Eindhoven, Netherlands, 2022.
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