modestyachts / imagenet-testbed
ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
☆117Updated last year
Alternatives and similar repositories for imagenet-testbed:
Users that are interested in imagenet-testbed are comparing it to the libraries listed below
- Train ImageNet *fast* in 500 lines of code with FFCV☆139Updated 9 months ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆261Updated 3 years ago
- ☆140Updated 4 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆103Updated 2 years ago
- ☆54Updated 4 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated 9 months ago
- A new test set for ImageNet☆246Updated last year
- ☆107Updated last year
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆134Updated last year
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆77Updated 2 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆38Updated 2 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆57Updated 2 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆339Updated 6 months ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- ☆95Updated 2 years ago
- ☆39Updated 2 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- ☆34Updated 3 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆46Updated last year
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆74Updated 2 years ago