TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems
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Updated
Jul 16, 2024 - Python
TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems
Implementing algorithms based on the analysis of the gradients in NN computational graphs to provide nice insights for Explainable AI
Implementation for Conditional Text GANs and Analysis with Integrated Gradients
This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"
Exercise on interpretability with integrated gradients.
Reproducible code for our paper "Explainable Learning with Gaussian Processes"
Source code for the IJCKG2021 paper "Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction".
The code for integrated gradients in torch.
Implementation of 2 XAI methods to visualize the region highlighted by the network to make a prediction
Suite of methods that create attribution maps from image classification models.
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.
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)
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.
simple implementation of Expected Gradients and Integrated Gradients by pytorch
PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.
Integrated gradients attribution method implemented in PyTorch
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
SyReNN: Symbolic Representations for Neural Networks
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