ncsu-dk-lab / Acc-DDLinks
☆14Updated 2 years ago
Alternatives and similar repositories for Acc-DD
Users that are interested in Acc-DD are comparing it to the libraries listed below
Sorting:
- ☆26Updated 2 years ago
- ☆29Updated last year
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆21Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆74Updated 6 months ago
- ☆23Updated last year
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated 11 months ago
- ☆58Updated 8 months ago
- ☆15Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- ☆87Updated 2 years ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆14Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆29Updated 11 months ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- ☆14Updated 2 years ago
- ☆39Updated 2 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 10 months ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆35Updated last year
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆21Updated 2 years ago
- Code for our ICML'24 on multimodal dataset distillation☆38Updated 11 months ago
- Prioritize Alignment in Dataset Distillation☆19Updated 9 months ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆17Updated last month
- Distilling Dataset into Generative Models☆54Updated 2 years ago