A curated list of trustworthy deep learning papers. Daily updating...
-
Updated
Jun 7, 2024
A curated list of trustworthy deep learning papers. Daily updating...
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Official Implementation of ARACHNET: INTERPRETABLE SUB-ARACHNOID SPACE SEGMENTATION USING AN ADDITIVE CONVOLUTIONAL NEURAL NETWORK
Brain age prediction and networks explainability on their decision
An unofficial version of the PyTorch implementation of CURE and Fast Adversarial training with FGSM.
Explainable AI for Image Classification
Official repository of our work "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning" accepted at CVPR 2024
Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"
ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)
Code for my thesis about SHAP. Implementation of DecisionTree, SVM, BERT on 2 Datasets Imdb and Argument Mining
Analysis of token routing for different implementations of Mixture of Experts
PyTorch Explain: Interpretable Deep Learning in Python.
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
∂B nets: learning discrete, boolean-valued functions by gradient descent
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.
Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemb…
[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification
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."