PatrykChrabaszcz / Imagenet32_Scripts
Scripts for Imagenet 32 dataset
☆151Updated 3 years ago
Alternatives and similar repositories for Imagenet32_Scripts:
Users that are interested in Imagenet32_Scripts are comparing it to the libraries listed below
- A drop-in replacement for CIFAR-10.☆239Updated 4 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 4 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆141Updated 4 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆92Updated 2 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆160Updated 5 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆231Updated 6 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 4 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 7 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆85Updated 7 years ago
- pytorch-tiny-imagenet☆172Updated last year
- ☆65Updated 5 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 3 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆102Updated 5 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆95Updated last year
- Cheap distillation for convolutional neural networks.☆33Updated 6 years ago
- ☆21Updated 5 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- PyTorch dataset for CUB-200-2011☆55Updated 2 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆337Updated 3 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆83Updated 4 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- PyTorch code for training neural networks without global back-propagation☆164Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- [CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks☆124Updated 4 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆65Updated 2 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆34Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 4 years ago