Generalizing Dataset Distillation via Deep Generative Prior-Reference-Cited by-同舟云学术

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Generalizing Dataset Distillation via Deep Generative Prior

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Cazenavette George¹,Wang Tongzhou¹,Torralba Antonio¹,Efros Alexei A.²,Zhu Jun-Yan³

Affiliation:

1. Massachusetts Institute of Technology

2. UC Berkeley

3. Carnegie Mellon University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203311.pdf?arnumber=10203311

Reference72 articles.

1. Dataset distillation by matching training trajectories;cazenavette;CVPR,0

2. Core vector machines: Fast svm training on very large data sets;tsang;JMLR,2005

3. Language models are few-shot learners;brown;NeurIPS,2020

4. Designing an encoder for stylegan image manipulation;tov;SIGGRAPH,0

5. Using latent space regression to analyze and leverage compositionality in gans;chai;ICLRE,0

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. One-Shot Federated Learning with Label Differential Privacy;Electronics;2024-05-08

2. Dataset Distillation: A Comprehensive Review;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-01

3. A Comprehensive Survey of Dataset Distillation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-01

4. CaT: Balanced Continual Graph Learning with Graph Condensation;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

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