galidor / PyTorchPartialLayerFreezing
A simple code snippet for freezing only part of the layer
☆32Updated 3 years ago
Alternatives and similar repositories for PyTorchPartialLayerFreezing:
Users that are interested in PyTorchPartialLayerFreezing are comparing it to the libraries listed below
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆270Updated 2 years ago
- Build PyTorch CIFAR100 using coarse labels☆38Updated 4 years ago
- pytorch-tiny-imagenet☆174Updated last year
- ☆140Updated 4 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆118Updated last year
- ☆54Updated 4 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆345Updated last week
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆264Updated 3 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 4 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆142Updated 11 months ago
- A new test set for ImageNet☆250Updated last year
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 3 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆371Updated last year
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆90Updated 3 years ago
- ☆157Updated 4 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆225Updated 5 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆92Updated 2 years ago
- ☆107Updated last year
- ☆62Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆96Updated 3 years ago
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆31Updated 3 years ago
- ☆58Updated 2 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago