shaoshitong / EDC
Elucidated Dataset Condensation (NeurIPS 2024)
☆19Updated 4 months ago
Alternatives and similar repositories for EDC:
Users that are interested in EDC are comparing it to the libraries listed below
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆26Updated 4 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆61Updated 9 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆32Updated 8 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆126Updated 3 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆99Updated 8 months ago
- Prioritize Alignment in Dataset Distillation☆20Updated 2 months ago
- Data distillation benchmark☆51Updated this week
- ☆24Updated last year
- Efficient Dataset Distillation by Representative Matching☆111Updated 11 months ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆90Updated 10 months ago
- ☆26Updated 10 months ago
- ☆51Updated last month
- ☆42Updated last year
- ☆14Updated 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
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 7 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- ☆15Updated 8 months ago
- ☆15Updated 8 months ago
- ☆12Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆26Updated 5 months ago
- Code for our ICML'24 on multimodal dataset distillation☆35Updated 4 months ago
- ☆84Updated 2 years ago
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆45Updated last year
- ☆11Updated 3 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆110Updated last year
- Respect to the input tensor instead of paramters of NN☆18Updated 2 years ago
- Code for CVPR 2024 Oral "Neural Lineage"☆16Updated 8 months ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆40Updated last month