Tensor Contraction Layers for Parsimonious Deep Nets

Tensor Contraction Layers for Parsimonious Deep Nets

1 June 2017

Zachary Chase Lipton

Tommaso Furlanello

Anima Anandkumar

Papers citing "Tensor Contraction Layers for Parsimonious Deep Nets"

10 / 10 papers shown

Title
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 39 1 0 20 Oct 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 39 9 0 22 Jan 2024
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning Manish Sharma Jamison Heard Eli Saber Panos P. Markopoulos 31 1 0 15 Jan 2024
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 61 19 0 22 Jan 2023
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 50 3 0 22 Aug 2022
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks Feiqing Huang Yuefeng Si Yao Zheng Guodong Li 39 1 0 09 Dec 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 34 120 0 07 Jul 2021
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors M. Alex O. Vasilescu E. Kim CoGe CVBM 23 12 0 11 Nov 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos Maja Pantic 22 67 0 04 Apr 2019
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 43 145 0 26 Jul 2017