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T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order
  Tensor

T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor

4 April 2019
Jean Kossaifi
Adrian Bulat
Georgios Tzimiropoulos
M. Pantic
ArXivPDFHTML

Papers citing "T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor"

13 / 13 papers shown
Title
Explaining Anomalies with Tensor Networks
Explaining Anomalies with Tensor Networks
Hans Hohenfeld
Marius Beuerle
Elie Mounzer
34
0
0
06 May 2025
BackSlash: Rate Constrained Optimized Training of Large Language Models
BackSlash: Rate Constrained Optimized Training of Large Language Models
Jun Wu
Jiangtao Wen
Yuxing Han
39
0
0
23 Apr 2025
Quantization Aware Factorization for Deep Neural Network Compression
Quantization Aware Factorization for Deep Neural Network Compression
Daria Cherniuk
Stanislav Abukhovich
Anh-Huy Phan
Ivan Oseledets
A. Cichocki
Julia Gusak
MQ
23
2
0
08 Aug 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
55
19
0
22 Jan 2023
Multi-task Swin Transformer for Motion Artifacts Classification and
  Cardiac Magnetic Resonance Image Segmentation
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation
Michal K. Grzeszczyk
Szymon Płotka
Arkadiusz Sitek
MedIm
24
1
0
06 Sep 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
26
17
0
09 Mar 2022
Model based Multi-agent Reinforcement Learning with Tensor
  Decompositions
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
Pascal R. van der Vaart
Anuj Mahajan
Shimon Whiteson
AI4CE
31
8
0
27 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network
  Compression
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao
Yipeng Liu
Xiaolin Huang
Ce Zhu
47
6
0
30 Sep 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
27
119
0
07 Jul 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
26
32
0
31 May 2021
Stable Low-rank Tensor Decomposition for Compression of Convolutional
  Neural Network
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
P. Tichavský
Valeriy Glukhov
Ivan Oseledets
A. Cichocki
BDL
27
128
0
12 Aug 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
85
1,935
0
11 Apr 2020
XNOR-Net++: Improved Binary Neural Networks
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat
Georgios Tzimiropoulos
MQ
39
200
0
30 Sep 2019
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