greydanus / excitationbpLinks
Visualizing how deep networks make decisions
☆66Updated 6 years ago
Alternatives and similar repositories for excitationbp
Users that are interested in excitationbp are comparing it to the libraries listed below
Sorting:
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 6 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆52Updated 5 years ago
- ☆72Updated 5 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆49Updated 6 years ago
- Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)☆124Updated 6 years ago
- ☆351Updated 5 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated 2 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Updated 6 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆126Updated 7 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆72Updated 7 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Updated 2 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆74Updated 3 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- Minimal API for receptive field calculation in PyTorch☆68Updated 2 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆149Updated 2 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)☆196Updated 3 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆116Updated 5 years ago
- Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.☆48Updated 8 years ago
- Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)☆38Updated 4 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago