"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
☆53Nov 27, 2020Updated 5 years ago
Alternatives and similar repositories for ME-ADA
Users that are interested in ME-ADA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆92Jun 12, 2022Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Aug 1, 2021Updated 5 years ago
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Nov 27, 2023Updated 2 years ago
- The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)☆149Jun 15, 2020Updated 6 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Jul 6, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆166Mar 18, 2021Updated 5 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆79Mar 6, 2022Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88May 17, 2021Updated 5 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Jan 26, 2021Updated 5 years ago
- ☆35Dec 9, 2020Updated 5 years ago
- Papers on Topology + Learning.☆14Feb 12, 2020Updated 6 years ago
- Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).☆82Apr 20, 2022Updated 4 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Oct 3, 2023Updated 2 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆108Dec 2, 2021Updated 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.
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆151Mar 24, 2023Updated 3 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆53Jul 10, 2020Updated 6 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆126Dec 8, 2022Updated 3 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Apr 13, 2021Updated 5 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆127Dec 14, 2021Updated 4 years ago
- Code Example for Learning Multimodal Data Augmentation in Feature Space☆44Mar 11, 2023Updated 3 years ago
- ☆16Dec 4, 2019Updated 6 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆991Jul 17, 2026Updated last month
- 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.
- GPI-Space: Memory Driven Computing and Big Data☆10Mar 17, 2026Updated 5 months ago
- All about domain generalization☆847Feb 25, 2025Updated last year
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆13Jan 30, 2021Updated 5 years ago
- A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems☆20Nov 28, 2020Updated 5 years ago
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Feb 10, 2022Updated 4 years ago
- Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)☆82Oct 3, 2023Updated 2 years ago
- Code for paper "Source Data and Target Annotations Agnostic Transferability Representation for Source-Free Unsupervised Domain Adaptatio…☆15Jun 7, 2024Updated 2 years ago
- ☆11Oct 9, 2019Updated 6 years ago
- Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)☆19Jul 20, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- The implementation of the NeurIPS2020 paper: The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identificatio…☆10Oct 22, 2020Updated 5 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Apr 24, 2019Updated 7 years ago
- PyTorch Implementation of Adversarial Training for Free!☆249Aug 22, 2021Updated 5 years ago
- ☆13Mar 30, 2022Updated 4 years ago
- Self-Distribution BNN☆10Mar 8, 2022Updated 4 years ago
- Code for paper "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"☆17Jan 27, 2023Updated 3 years ago
- Automatic Jailbreaking of the Text-to-Image Generative AI Systems☆15Jun 23, 2024Updated 2 years ago