GeorgeCazenavette / mtt-distillation
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
☆409Updated 6 months ago
Alternatives and similar repositories for mtt-distillation:
Users that are interested in mtt-distillation are comparing it to the libraries listed below
- Dataset Condensation (ICLR21 and ICML21)☆497Updated last year
- Open-source code for paper "Dataset Distillation"☆782Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆108Updated last year
- ☆109Updated last year
- Efficient Dataset Distillation by Representative Matching☆111Updated 11 months ago
- Code for coreset selection methods☆218Updated last year
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆68Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆271Updated 2 years ago
- ☆84Updated 2 years ago
- A curated list of awesome papers on dataset distillation and related applications.☆1,504Updated this week
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆126Updated 2 months ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆490Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆95Updated 8 months ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆225Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆46Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆60Updated 9 months ago
- [ICCV2023] Dataset Quantization☆256Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆63Updated 2 years ago
- Is synthetic data from generative models ready for image recognition?☆179Updated last year
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆197Updated 9 months ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆173Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆176Updated last year
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆121Updated 5 months ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆67Updated 2 years ago
- A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆476Updated 7 months ago
- Compare neural networks by their feature similarity☆349Updated last year
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆297Updated 4 years ago
- Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.☆72Updated 4 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆90Updated 10 months ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆259Updated 3 years ago