☆34Jan 25, 2024Updated 2 years ago
Alternatives and similar repositories for SAM-ON
Users that are interested in SAM-ON are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆29Sep 22, 2023Updated 2 years ago
- ☆21Jan 23, 2024Updated 2 years ago
- ☆11Dec 8, 2022Updated 3 years ago
- ☆57Feb 13, 2023Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆44Sep 11, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆23Jun 15, 2022Updated 3 years ago
- ☆35Dec 5, 2022Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 3 years ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆47Jun 29, 2023Updated 2 years ago
- Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)☆20Aug 24, 2023Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated last year
- Optimization algorithm which fits a ResNet to CIFAR-10 5x faster than SGD / Adam (with terrible generalization)☆14Oct 20, 2023Updated 2 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Jan 13, 2023Updated 3 years ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆71Sep 25, 2024Updated last year
- 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.
- Code for the API, workload execution, and agents underlying the LLMail-Inject Adpative Prompt Injection Challenge☆23Updated this week
- The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".☆85Jun 20, 2023Updated 2 years ago
- ☆20Feb 3, 2025Updated last year
- Training vision models with full-batch gradient descent and regularization☆40Feb 14, 2023Updated 3 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆41Feb 10, 2023Updated 3 years ago
- Analyze the dynamic stability of SGD☆13Nov 25, 2018Updated 7 years ago
- ☆12Feb 19, 2025Updated last year
- Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization☆12Nov 29, 2024Updated last year
- Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.☆13Jul 1, 2022Updated 3 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.
- ☆14Jun 6, 2023Updated 2 years ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆13May 31, 2023Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆12Jan 10, 2023Updated 3 years ago
- ☆13Mar 22, 2023Updated 3 years ago
- ☆30Jun 19, 2023Updated 2 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆49Nov 21, 2021Updated 4 years ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆32Jan 23, 2025Updated last year
- ☆15Jul 24, 2022Updated 3 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Jul 3, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.☆19Feb 13, 2023Updated 3 years ago
- SEAT☆21Oct 10, 2023Updated 2 years ago
- Repository for reproducing `Model-Based Robust Deep Learning`☆17Jan 22, 2021Updated 5 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38May 25, 2021Updated 4 years ago
- PyTorch implementation of LARS (Layer-wise Adaptive Rate Scaling)☆19May 11, 2019Updated 6 years ago
- ☆20Mar 14, 2022Updated 4 years ago
- FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens☆17Sep 8, 2025Updated 7 months ago