[ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
☆34Jun 20, 2024Updated last year
Alternatives and similar repositories for DataDAM
Users that are interested in DataDAM are comparing it to the libraries listed below
Sorting:
- ☆14Apr 21, 2023Updated 2 years ago
- ☆15May 28, 2024Updated last year
- ☆28Jun 12, 2023Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 2 years ago
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆11Jun 16, 2024Updated last year
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆15Nov 18, 2023Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆106May 23, 2024Updated last year
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Dec 15, 2024Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆20Oct 5, 2024Updated last year
- [ICLR 2024] The Need for Speed: Pruning Transformers with One Recipe☆31Sep 2, 2024Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Mar 22, 2024Updated last year
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Mar 2, 2024Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆136Nov 15, 2024Updated last year
- ☆30Apr 12, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Feb 24, 2025Updated last year
- ☆114May 22, 2023Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- Preview code of ECCV'24 paper "Distill Gold from Massive Ores" (BiLP)☆25Jul 6, 2024Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- ☆91Jan 22, 2023Updated 3 years ago
- ☆20Feb 24, 2025Updated last year
- ☆23Nov 16, 2024Updated last year
- Data distillation benchmark☆72Jun 13, 2025Updated 8 months ago
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 2 years ago
- [AAAI2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning☆21Apr 30, 2024Updated last year
- Efficient and Online Dataset Growth Algorithm (with cleanness and diversity awareness) to deal with growing web data☆21Aug 6, 2024Updated last year
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆15Apr 18, 2024Updated last year
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆437Jul 16, 2024Updated last year
- Dataset Condensation (ICLR21 and ICML21)☆543Nov 27, 2023Updated 2 years ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …☆22Aug 20, 2024Updated last year
- ☆41Sep 21, 2023Updated 2 years ago
- Code for our ICML'24 on multimodal dataset distillation☆43Oct 11, 2024Updated last year
- The Third Place Winner in Generative Track of the ECCV 2024 DD Challenge☆10Oct 11, 2024Updated last year
- ☆10Oct 20, 2023Updated 2 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆72Dec 12, 2023Updated 2 years ago
- [CVPR 2025] An Implementation of the paper "Pre-Instruction Data Selection for Visual Instruction Tuning"☆17Jun 9, 2025Updated 8 months ago