[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
- [ICLR 2024] The Need for Speed: Pruning Transformers with One Recipe☆28Sep 2, 2024Updated 2 years ago
- ☆15May 28, 2024Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Oct 9, 2024Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆10Jun 16, 2024Updated 2 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Jul 30, 2026Updated 3 months ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated 2 years ago
- ☆18Jun 14, 2024Updated 2 years ago
- ☆23Nov 16, 2024Updated last year
- ☆114May 22, 2023Updated 3 years ago
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Dec 15, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆22Feb 24, 2025Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆105Mar 22, 2024Updated 2 years ago
- ☆15Apr 25, 2023Updated 3 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆142Nov 15, 2024Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆441Jul 16, 2024Updated 2 years ago
- Efficient and Online Dataset Growth Algorithm (with cleanness and diversity awareness) to deal with growing web data☆20Aug 6, 2024Updated 2 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆25Aug 13, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …☆21Aug 20, 2024Updated 2 years ago
- Dataset Condensation (ICLR21 and ICML21)☆544Nov 27, 2023Updated 2 years ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆26Mar 2, 2024Updated 2 years ago
- ☆91Jan 22, 2023Updated 3 years ago
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 3 years ago
- Preview code of ECCV'24 paper "Distill Gold from Massive Ores" (BiLP)☆25Jul 6, 2024Updated 2 years ago
- ☆65Dec 30, 2024Updated last year
- Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.☆39Jun 6, 2024Updated 2 years ago
- [NeurIPS'24] Official Implementation for "Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?"☆11Nov 13, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆73Dec 12, 2023Updated 2 years ago
- [NeurIPS-2023] The PyTorch Implementation of MoSo. The algorithms are based on our paper: "Data Pruning via Moving-one-Sample-out". MoSo …☆11May 21, 2026Updated 5 months ago
- ☆44Sep 21, 2023Updated 3 years ago
- A curated list of awesome papers on dataset distillation and related applications.☆1,980Oct 21, 2026Updated last week
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆350Sep 24, 2024Updated 2 years ago
- Official PyTorch implementation for Distilling Dataset into Neural Field [ICLR 2025]☆16Mar 20, 2025Updated last year
- Official implementation for "Knowledge Distillation with Refined Logits".☆24Aug 26, 2024Updated 2 years ago