A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks

28 May 2022

Papers citing "A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks"

7 / 7 papers shown

Title
Compute Better Spent: Replacing Dense Layers with Structured Matrices Shikai Qiu Andres Potapczynski Marc Finzi Micah Goldblum Andrew Gordon Wilson 32 11 0 10 Jun 2024
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification W. Boulila Eman Alshanqiti Ayyub Alzahem Anis Koubaa Nabil Mlaiki 21 2 0 01 Jun 2024
Reusing Pretrained Models by Multi-linear Operators for Efficient Training Yu Pan Ye Yuan Yichun Yin Zenglin Xu Lifeng Shang Xin Jiang Qun Liu 40 16 0 16 Oct 2023
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 25 1 0 11 Oct 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training Xinwei Ou Zhangxin Chen Ce Zhu Yipeng Liu 15 2 0 22 Mar 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 43 19 0 22 Jan 2023
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 259 2,603 0 04 May 2021