Official repository of our work "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning" accepted at CVPR 2024
-
Updated
Apr 8, 2024 - Python
Official repository of our work "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning" accepted at CVPR 2024
A curated list of awesome contrastive explanation in ML resources
A Python package for biomarkers identification powered by interpretable deep learning
Pseudo-label supervised graph neural network for robust, fine-grained, interpretable spatial domain identification.
Tutorial on Representer Point Selection for Explaining Deep Neural Networks (CIFAR-10)
Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"
Pytorch example of path-explain using Pytorch
Working Memory Inspired Hierarchical Video Decomposition with Transformative Representations
neural network to learn paths in decision tree
Facial emotion classification and modification using CNNs.
BRACE - BetteR Accuracy from Concept-based Explanation
Undergraduate thesis of Post-hoc Interpretable Deep Learning for birds sound
Master Thesis on reproducibility and interpretability of neural ranking models
Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)
Paper and resources collections about interpretable AI (XAI)
Replicated “Understanding Individual Neuron Importance Using Information Theory” paper. Information Theory and Learning Course Project.
Code for my thesis about SHAP. Implementation of DecisionTree, SVM, BERT on 2 Datasets Imdb and Argument Mining
Interpretability of deep representation learning models
Awesome papers on Interpretable Machine Learning
Personal collection of resources to get started on Interpretability in AI (... still being updated ...)
Add a description, image, and links to the interpretable-deep-learning topic page so that developers can more easily learn about it.
To associate your repository with the interpretable-deep-learning topic, visit your repo's landing page and select "manage topics."