ncsu-dk-lab / Acc-DD
☆12Updated last year
Alternatives and similar repositories for Acc-DD:
Users that are interested in Acc-DD are comparing it to the libraries listed below
- ☆24Updated last year
- ☆26Updated 10 months ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆32Updated 8 months ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆19Updated 4 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- ☆22Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆61Updated 9 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆26Updated 4 months ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 7 months ago
- ☆51Updated last month
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆24Updated 11 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆110Updated last year
- ☆14Updated last year
- Efficient Dataset Distillation by Representative Matching☆111Updated 11 months ago
- ☆15Updated 8 months ago
- ☆84Updated 2 years ago
- ☆28Updated last year
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆26Updated last year
- Prioritize Alignment in Dataset Distillation☆20Updated 2 months ago
- ☆37Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆99Updated 8 months ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆20Updated 2 years ago
- Distilling Dataset into Generative Models☆54Updated last year
- Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint☆17Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆52Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆35Updated 4 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆15Updated 10 months ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆63Updated 2 years ago
- ☆15Updated 8 months ago