idiap / fullgrad-saliency
Full-gradient saliency maps
☆210Updated 2 years ago
Alternatives and similar repositories for fullgrad-saliency
Users that are interested in fullgrad-saliency are comparing it to the libraries listed below
Sorting:
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 4 years ago
- Towards Automatic Concept-based Explanations☆159Updated last year
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆364Updated 3 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆347Updated 3 weeks ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆183Updated 3 years ago
- Detect model's attention☆165Updated 4 years ago
- A Simple pytorch implementation of GradCAM and GradCAM++☆378Updated 6 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- ☆120Updated 3 years ago
- Official implementation of Score-CAM in PyTorch☆421Updated 2 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- ☆109Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆126Updated last year
- Calibration of Convolutional Neural Networks☆163Updated 2 years ago
- Information Bottlenecks for Attribution☆79Updated 2 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆266Updated 3 years ago
- ☆325Updated 3 weeks ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 4 years ago
- A Simple pytorch implementation of GradCAM and GradCAM++☆85Updated 4 years ago
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆166Updated 4 years ago
- ☆140Updated 4 years ago
- A new test set for ImageNet☆252Updated 2 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆344Updated 5 years ago