Improving GNN-based accelerator design automation with meta learning-Reference-Cited by-同舟云学术

Improving GNN-based accelerator design automation with meta learning

Published:2022-07-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th ACM/IEEE Design Automation Conference
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Author:

Bai Yunsheng¹,Sohrabizadeh Atefeh¹,Sun Yizhou¹,Cong Jason¹

Affiliation:

1. University of California

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3489517.3530629

Reference21 articles.

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3. C. Finn etal 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In ICML. PMLR 1126--1135. C. Finn et al. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In ICML. PMLR 1126--1135.

4. T. Hospedales etal 2020. Meta-learning in neural networks: A survey. arXiv preprint arXiv:2004.05439 (2020). T. Hospedales et al. 2020. Meta-learning in neural networks: A survey. arXiv preprint arXiv:2004.05439 (2020).

5. In-Datacenter Performance Analysis of a Tensor Processing Unit

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