PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
☆42Dec 22, 2022Updated 3 years ago
Alternatives and similar repositories for PRIME-augmentations
Users that are interested in PRIME-augmentations are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Dec 10, 2021Updated 4 years ago
- Source code for "Neural Anisotropy Directions"☆16Nov 17, 2020Updated 5 years ago
- Simple repository contribution statistics☆15Updated this week
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆47Nov 6, 2022Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆15Dec 7, 2021Updated 4 years ago
- hatching Kaggle attempts :]☆18Updated this week
- Source code of "What can linearized neural networks actually say about generalization?☆20Oct 21, 2021Updated 4 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated last year
- ☆20Feb 24, 2022Updated 4 years ago
- ☆13Feb 2, 2022Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆16Jun 16, 2022Updated 4 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- ☆14Jan 11, 2024Updated 2 years ago
- codebase for the 2021 IROS paper "EventVLAD: Visual Place Recognition with Reconstructed Edges from Event Cameras"☆13Aug 3, 2023Updated 2 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 4 years ago
- Smoothly deprecate and redirect Python functions/classes with smart warnings and auto-routing—keep your codebase clean while maintaining …☆59Updated this week
- Adversarially Robust Transfer Learning with LWF loss applied to the deep feature representation (penultimate) layer☆19Feb 9, 2020Updated 6 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆21Oct 12, 2021Updated 4 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- A School for All Seasons on Trustworthy Machine Learning☆12Jun 30, 2021Updated 5 years ago
- ☆14Oct 18, 2021Updated 4 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆17Mar 29, 2023Updated 3 years ago
- ☆37Jun 10, 2021Updated 5 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code of "Deep invariant networks with differentiable augmentation layers"☆18Oct 26, 2022Updated 3 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆42Oct 21, 2021Updated 4 years ago
- ☆13Jul 25, 2024Updated last year
- 3D Common Corruptions and Data Augmentation, CVPR 2022 [Oral]☆88Apr 11, 2023Updated 3 years ago
- [CVPR 2022] FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering☆26Jun 29, 2022Updated 4 years ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Dec 17, 2021Updated 4 years ago
- Blazing fast data loading with HuggingFace Dataset and Ray Data☆15Jan 12, 2024Updated 2 years ago