Huage001 / DatasetFactorization
PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
☆63Updated 2 years ago
Alternatives and similar repositories for DatasetFactorization:
Users that are interested in DatasetFactorization are comparing it to the libraries listed below
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- Efficient Dataset Distillation by Representative Matching☆110Updated 10 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆46Updated 2 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆36Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆68Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆125Updated 2 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆107Updated last year
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆39Updated 7 months ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆68Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆95Updated 7 months ago
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆46Updated last year
- ☆42Updated last year
- ☆83Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆31Updated 6 months ago
- ☆22Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆52Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆79Updated 11 months ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆89Updated 9 months ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆37Updated 8 months ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆67Updated 2 years ago
- ☆26Updated 9 months ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆19Updated 3 months ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆57Updated last year
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆77Updated last year
- ☆14Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆59Updated 8 months ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆45Updated last year
- ☆60Updated last year
- ☆109Updated last year
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 2 years ago