Efficient Dataset Distillation by Representative Matching
☆114Feb 28, 2024Updated 2 years ago
Alternatives and similar repositories for DREAM
Users that are interested in DREAM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 3 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Oct 18, 2023Updated 2 years ago
- [ICCV2023] Dataset Quantization☆261Jan 6, 2024Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated 2 years ago
- ☆24Oct 14, 2022Updated 3 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.
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 3 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆85Feb 24, 2025Updated last year
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆347Sep 24, 2024Updated last year
- ☆28Jun 12, 2023Updated 3 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆73Dec 12, 2023Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Mar 22, 2024Updated 2 years ago
- Data distillation benchmark☆73Jun 13, 2025Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- (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
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆17Jul 30, 2026Updated 2 weeks ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆440Jul 16, 2024Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Oct 9, 2024Updated last year
- ☆15May 28, 2024Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated 2 years ago
- Dataset Condensation (ICLR21 and ICML21)☆542Nov 27, 2023Updated 2 years ago
- ☆15Apr 25, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆18Mar 21, 2023Updated 3 years ago
- Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …☆39Dec 18, 2024Updated last year
- ☆13Nov 25, 2021Updated 4 years ago
- [ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors☆39Jul 7, 2023Updated 3 years ago
- The official implementation of 《MLLMs-Augmented Visual-Language Representation Learning》☆31Mar 12, 2024Updated 2 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Jun 8, 2022Updated 4 years ago
- A curated list of awesome papers on dataset distillation and related applications.☆1,968Jul 21, 2026Updated 3 weeks 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
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆25Aug 13, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆31May 7, 2024Updated 2 years ago
- ☆65Dec 30, 2024Updated last year
- ☆24Oct 31, 2023Updated 2 years ago
- ☆18Jun 14, 2024Updated 2 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- FedD3: Federated Learning via Decentralized Dataset Distillation☆31Apr 8, 2023Updated 3 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Oct 21, 2020Updated 5 years ago