rgeirhos / generalisation-humans-DNNsLinks
Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
☆96Updated 2 years ago
Alternatives and similar repositories for generalisation-humans-DNNs
Users that are interested in generalisation-humans-DNNs are comparing it to the libraries listed below
Sorting:
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆161Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆31Updated 7 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Real-time image saliency 🌠 (NIPS 2017)☆126Updated 7 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Scripts for Imagenet 32 dataset☆153Updated 4 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago
- A machine learning library for PyTorch☆93Updated 3 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated last year
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- ☆141Updated 4 years ago
- Related materials for robust and explainable machine learning