GeorgeCazenavette / mtt-distillationLinks
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
☆427Updated last year
Alternatives and similar repositories for mtt-distillation
Users that are interested in mtt-distillation are comparing it to the libraries listed below
Sorting:
- Dataset Condensation (ICLR21 and ICML21)☆521Updated last year
- Efficient Dataset Distillation by Representative Matching☆111Updated last year
- ☆115Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- Code for coreset selection methods☆238Updated 2 years ago
- Compare neural networks by their feature similarity☆369Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆72Updated 2 years ago
- ☆86Updated 2 years ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆508Updated 2 years ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆283Updated 3 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- [ICCV2023] Dataset Quantization☆259Updated last year
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- Open-source code for paper "Dataset Distillation"☆811Updated last month
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆233Updated last year
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆309Updated 5 years ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆91Updated 4 years ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆198Updated last year
- ☆40Updated 2 years ago
- Is synthetic data from generative models ready for image recognition?☆182Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 8 months ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆208Updated last year
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆509Updated last year
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆269Updated 4 years ago
- EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.☆333Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago