pkmr06 / pytorch-smoothgradLinks
SmoothGrad implementation in PyTorch
☆172Updated 4 years ago
Alternatives and similar repositories for pytorch-smoothgrad
Users that are interested in pytorch-smoothgrad are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Updated 2 years ago
- Visualizing how deep networks make decisions☆66Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 5 years ago
- ☆112Updated 2 years ago
- A drop-in replacement for CIFAR-10.☆243Updated 4 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆126Updated 7 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 8 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆170Updated 7 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- ☆66Updated 6 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated last year
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆161Updated 5 years ago
- Robust loss functions for deep neural networks (CVPR 2017)☆91Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆347Updated 5 years ago
- ☆351Updated 5 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Updated 5 years ago
- Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"☆119Updated 6 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- Pretrained bag-of-local-features neural networks☆313Updated 6 years ago
- Related materials for robust and explainable machine learning☆48Updated 7 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆31Updated 7 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago