[ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
☆34Jun 20, 2024Updated 2 years ago
Alternatives and similar repositories for DataDAM
Users that are interested in DataDAM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Apr 21, 2023Updated 3 years ago
- ☆28Jun 12, 2023Updated 3 years ago
- ☆15May 28, 2024Updated 2 years ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Oct 9, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [ICLR 2024] The Need for Speed: Pruning Transformers with One Recipe☆28Sep 2, 2024Updated 2 years ago
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆10Jun 16, 2024Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- ☆23Nov 16, 2024Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆20Oct 5, 2024Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated 2 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆17Jul 30, 2026Updated last month
- ☆114May 22, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Dec 15, 2024Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆105Mar 22, 2024Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Oct 18, 2023Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆141Nov 15, 2024Updated last year
- Data distillation benchmark☆72Jun 13, 2025Updated last year
- ☆18Jun 14, 2024Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- Dataset Condensation (ICLR21 and ICML21)☆544Nov 27, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆440Jul 16, 2024Updated 2 years ago
- ☆91Jan 22, 2023Updated 3 years ago
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 3 years ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆26Mar 2, 2024Updated 2 years ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆42Sep 6, 2024Updated 2 years ago
- Preview code of ECCV'24 paper "Distill Gold from Massive Ores" (BiLP)☆25Jul 6, 2024Updated 2 years ago
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆15May 18, 2024Updated 2 years ago
- Repository for Mode-Guided Latent Diffusion for Dataset Distillation☆24Dec 6, 2025Updated 9 months ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆17Apr 18, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS-2023] The PyTorch Implementation of MoSo. The algorithms are based on our paper: "Data Pruning via Moving-one-Sample-out". MoSo …☆10May 21, 2026Updated 3 months ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …☆21Aug 20, 2024Updated 2 years ago
- ☆44Sep 21, 2023Updated 2 years ago
- Official PyTorch implementation for Distilling Dataset into Neural Field [ICLR 2025]☆16Mar 20, 2025Updated last year
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆348Sep 24, 2024Updated last year
- [ICCV 2025] EA-ViT: Efficient Adaptation for Elastic Vision Transformer☆27Jul 28, 2025Updated last year
- [ICCV2023] Dataset Quantization☆260Jan 6, 2024Updated 2 years ago