Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training-Reference-Cited by-同舟云学术

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Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training

Published:2023-10-01 Issue: Volume: Page:17009-17018
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Wu Xiao-Ming¹,Zheng Dian¹,Liu Zuhao¹,Zheng Wei-Shi¹

Affiliation:

1. Sun Yat-sen University,School of Computer Science and Engineering,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376671.pdf?arnumber=10376671

Reference59 articles.

1. Mirror descent view for neural network quantization;Ajanthan;AISTATS,2021

2. Ternary neural networks for resource-efficient AI applications

3. Proxquant: Quantized neural networks via proximal operators;Bai;ICLR,2019

4. Estimating or propagating gradients through stochastic neurons for conditional computation;Bengio,2013

5. Xnor-net++: Improved binary neural networks;Bulat,2019

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