Deep Incubation: Training Large Models by Divide-and-Conquering-Reference-Cited by-同舟云学术

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Deep Incubation: Training Large Models by Divide-and-Conquering

Published:2023-10-01 Issue: Volume: Page:17289-17299
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Ni Zanlin¹,Wang Yulin¹,Yu Jiangwei¹,Jiang Haojun¹,Cao Yue²,Huang Gao¹

Affiliation:

1. Tsinghua University,BNRist,Department of Automation,Beijing,China

2. Beijing Academy of Artificial Intelligence,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377998.pdf?arnumber=10377998

Reference60 articles.

1. Lifted neural networks;Askari,2018

2. Greedy layerwise learning can scale to imagenet;Belilovsky

3. Decoupled greedy learning of cnns;Belilovsky

4. How auto-encoders could provide credit assignment in deep networks via target propagation;Bengio,2014

Cited by 2 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. FLatten Transformer: Vision Transformer using Focused Linear Attention;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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