yulongwang12 / visual-attribution
Pytorch Implementation of recent visual attribution methods for model interpretability
☆145Updated 5 years ago
Alternatives and similar repositories for visual-attribution:
Users that are interested in visual-attribution are comparing it to the libraries listed below
- Visualizing how deep networks make decisions☆66Updated 5 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆239Updated 4 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆179Updated 4 years ago
- SmoothGrad implementation in PyTorch☆171Updated 3 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- visualization of CNN in PyTorch☆155Updated last year
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆182Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- ☆352Updated 5 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆334Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆270Updated 6 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆95Updated last year
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 4 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 6 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆145Updated 2 years ago
- Smooth Loss Functions for Deep Top-k Classification☆252Updated 3 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 6 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆238Updated 3 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated last year