QLP: Deep Q-Learning for Pruning Deep Neural Networks-Reference-Cited by-同舟云学术

QLP: Deep Q-Learning for Pruning Deep Neural Networks

Published:2022-10 Issue:10 Volume:32 Page:6488-6501
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Camci Efe¹^ORCID,Gupta Manas¹^ORCID,Wu Min¹^ORCID,Lin Jie¹^ORCID

Affiliation:

1. Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore

Funder

Agency for Science, Technology and Research (A*STAR) under its AME Programmatic Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9910246/09758792.pdf?arnumber=9758792

Reference50 articles.

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4. ImageNet Large Scale Visual Recognition Challenge

5. A Real-Time Action Representation With Temporal Encoding and Deep Compression

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