Measuring Model Complexity of Neural Networks with Curve Activation Functions-Reference-Cited by-同舟云学术

Measuring Model Complexity of Neural Networks with Curve Activation Functions

Published:2020-07-06 Issue: Volume: Page:
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Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Hu Xia¹,Liu Weiqing²,Bian Jiang²,Pei Jian¹

Affiliation:

1. Simon Fraser University, Burnaby, BC, Canada

2. Microsoft Research, Beijing, China

Funder

NSERC Discovery Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3403203

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5. Chung-Cheng Chiu Tara N Sainath Yonghui Wu Rohit Prabhavalkar etal 2018. State-of-the-art speech recognition with sequence-to-sequence models. In 2018 IEEE ICASSP. IEEE 4774--4778. Chung-Cheng Chiu Tara N Sainath Yonghui Wu Rohit Prabhavalkar et al. 2018. State-of-the-art speech recognition with sequence-to-sequence models. In 2018 IEEE ICASSP. IEEE 4774--4778.

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