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Mar 8, 2021 - Python
integrated-gradients
Here are 23 public repositories matching this topic...
The code for integrated gradients in torch.
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Jul 2, 2022 - Jupyter Notebook
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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Jun 7, 2022 - Python
Source code for the IJCKG2021 paper "Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction".
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May 7, 2022 - Jupyter Notebook
Suite of methods that create attribution maps from image classification models.
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Nov 22, 2022 - Jupyter Notebook
This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"
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Jun 4, 2024 - Python
Reproducible code for our paper "Explainable Learning with Gaussian Processes"
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Jun 1, 2024 - MATLAB
Implementing algorithms based on the analysis of the gradients in NN computational graphs to provide nice insights for Explainable AI
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Dec 6, 2023 - Jupyter Notebook
Implementation for Conditional Text GANs and Analysis with Integrated Gradients
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Jun 8, 2024 - HTML
Comparative Analysis of XAI Methods for Medical Diagnostic using Chest X-ray Images
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May 24, 2023 - Jupyter Notebook
Attribution methods that explain image classification models, implemented in PyTorch, and support batch input and GPU.
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Mar 21, 2024 - Python
Exercise on interpretability with integrated gradients.
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Sep 28, 2023 - Python
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)
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Jul 27, 2023 - Python
Implementation of 2 XAI methods to visualize the region highlighted by the network to make a prediction
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Apr 8, 2021 - Jupyter Notebook
simple implementation of Expected Gradients and Integrated Gradients by pytorch
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May 11, 2022 - Python
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
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Mar 7, 2020 - Python
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
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May 13, 2021 - Jupyter Notebook
PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.
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Apr 21, 2021 - Jupyter Notebook
Integrated gradients attribution method implemented in PyTorch
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Nov 5, 2020 - Python
SyReNN: Symbolic Representations for Neural Networks
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Mar 20, 2023 - Python
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