davidbau / dissect
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
☆303Updated 4 years ago
Alternatives and similar repositories for dissect:
Users that are interested in dissect are comparing it to the libraries listed below
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆286Updated 2 months ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆498Updated 2 years ago
- [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.☆608Updated 2 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆343Updated 7 months ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆586Updated 3 years ago
- Full-gradient saliency maps☆209Updated 2 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆514Updated 8 months ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆160Updated 5 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆985Updated 3 weeks ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆335Updated 3 years ago
- ☆352Updated 5 years ago
- ☆324Updated 3 weeks ago
- Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)☆207Updated 3 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- ☆51Updated 4 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆263Updated 3 years ago
- Labels and other data for the paper "Are we done with ImageNet?"☆190Updated 3 years ago
- A new test set for ImageNet☆248Updated last year
- ☆403Updated 2 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated last year
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆125Updated last year
- A Disentangling Invertible Interpretation Network☆122Updated 3 years ago
- ☆182Updated 2 years ago
- ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale☆214Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Towards Automatic Concept-based Explanations☆159Updated 11 months ago
- Lucid library adapted for PyTorch☆622Updated 3 weeks ago