Rose-STL-Lab / Teleportation-OptimizationLinks
[ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries
☆30Updated last year
Alternatives and similar repositories for Teleportation-Optimization
Users that are interested in Teleportation-Optimization are comparing it to the libraries listed below
Sorting:
- This repository includes the official implementation our paper "Scaling White-Box Transformers for Vision"☆48Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆105Updated last year
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆91Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆134Updated last year
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆46Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Updated last year
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆61Updated last year
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆106Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- ☆38Updated last year
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- Data distillation benchmark☆71Updated 6 months ago
- Continual Forgetting for Pre-trained Vision Models (CVPR 2024)☆68Updated this week
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated 2 years ago
- This repo contains the source code for VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks (NeurIPS 2024).☆42Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆74Updated 9 months ago
- [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections☆21Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆20Updated last year
- ☆113Updated last year
- [NIPS2023]Implementation of Foundation Model is Efficient Multimodal Multitask Model Selector☆37Updated last year
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆138Updated 8 months ago
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆32Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Updated 3 years ago
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆22Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆93Updated last year
- Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".☆17Updated last year
- A curated list of Model Merging methods.☆94Updated 2 weeks ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago