Perturbed Gradients Updating within Unit Space for Deep Learning-Reference-Cited by-同舟云学术

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Perturbed Gradients Updating within Unit Space for Deep Learning

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Tseng Ching-Hsun¹,Liu Hsueh-Cheng²,Lee Shin-Jye³,Zeng Xiaojun¹

Affiliation:

1. The University of Manchester,Department of Computer Science,Manchester,UK

2. Taiwan Semi-condoctor Manufacturing Co., Ltd,Department of Computer-Intergrated Manufacturing,Hinschu,Taiwan

3. Institute of Management of Technology National Yang Ming Chiao Tung University,Hinschu,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892245.pdf?arnumber=9892245

Reference38 articles.

1. Training data-efficient image transformers & distillation through attention;touvron;ArXiv Preprint,2020

2. Visualizing the loss landscape of neural nets;li;ArXiv Preprint,2017

3. Sgdr: Stochastic gradient descent with warm restarts;loshchilov;ArXiv Preprint,2016

4. A simple baseline for bayesian uncertainty in deep learning;maddox;Advances in neural information processing systems,2019

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1. ElegansNet: a brief scientific report and initial experiments;2023-04-24

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