ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.09052
  4. Cited By
Wide Compression: Tensor Ring Nets

Wide Compression: Tensor Ring Nets

25 February 2018
Wenqi Wang
Yifan Sun
Brian Eriksson
Wenlin Wang
Vaneet Aggarwal
ArXiv (abs)PDFHTML

Papers citing "Wide Compression: Tensor Ring Nets"

50 / 74 papers shown
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
Tianxiao Cao
Kyohei Atarashi
H. Kashima
230
0
0
14 Aug 2025
A Survey of Link Prediction in N-ary Knowledge Graphs
A Survey of Link Prediction in N-ary Knowledge Graphs
Jiyao Wei
Saiping Guan
Da Li
Xiaolong Jin
Jiafeng Guo
Xueqi Cheng
LRM
162
3
0
10 Jun 2025
Remote Sensing Image Classification with Decoupled Knowledge Distillation
Remote Sensing Image Classification with Decoupled Knowledge Distillation
Yaping He
Jianfeng Cai
Qicong Hu
Peiqing Wang
158
0
0
25 May 2025
DNAD: Differentiable Neural Architecture Distillation
DNAD: Differentiable Neural Architecture Distillation
Xuan Rao
Bo Zhao
Derong Liu
394
1
0
25 Apr 2025
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
Scalable Bayesian Tensor Ring Factorization for Multiway Data AnalysisInternational Conference on Neural Information Processing (ICONIP), 2024
Zerui Tao
Toshihisa Tanaka
Qibin Zhao
226
4
0
04 Dec 2024
Convolutional Neural Network Compression Based on Low-Rank Decomposition
Convolutional Neural Network Compression Based on Low-Rank Decomposition
Yaping He
Linhao Jiang
Di Wu
225
2
0
29 Aug 2024
Reduced storage direct tensor ring decomposition for convolutional
  neural networks compression
Reduced storage direct tensor ring decomposition for convolutional neural networks compressionNeural Networks (NN), 2024
Mateusz Gabor
R. Zdunek
371
0
0
17 May 2024
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of
  Large Language Models
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Zihan Fang
Zheng Lin
Zhe Chen
Xianhao Chen
Yue Gao
Yuguang Fang
264
51
0
09 Apr 2024
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural
  Networks
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks
Yang Sui
Miao Yin
Yu Gong
Jinqi Xiao
Huy Phan
Bo Yuan
257
9
0
18 Jan 2024
conv_einsum: A Framework for Representation and Fast Evaluation of
  Multilinear Operations in Convolutional Tensorial Neural Networks
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks
Tahseen Rabbani
Jiahao Su
Xiaoyu Liu
David Chan
Geoffrey Sangston
Furong Huang
208
1
0
07 Jan 2024
Tensor networks for interpretable and efficient quantum-inspired machine
  learning
Tensor networks for interpretable and efficient quantum-inspired machine learning
Shirli Ran
Gang Su
250
17
0
19 Nov 2023
Hyperspectral Image Fusion via Logarithmic Low-rank Tensor Ring
  Decomposition
Hyperspectral Image Fusion via Logarithmic Low-rank Tensor Ring Decomposition
Jun Zhang
Lipeng Zhu
Chaoqun Wang
Shutao Li
224
0
0
16 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Debanjan Konar
Dheeraj Peddireddy
Vaneet Aggarwal
B. K. Panigrahi
227
1
0
02 Oct 2023
Noisy Tensor Ring approximation for computing gradients of Variational
  Quantum Eigensolver for Combinatorial Optimization
Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization
Dheeraj Peddireddy
Utkarsh Priyam
Vaneet Aggarwal
164
2
0
08 Jul 2023
Review of compressed embedding layers and their applications for
  recommender systems
Review of compressed embedding layers and their applications for recommender systems
Tamás Hajgató
166
0
0
23 Jun 2023
Tensorized Hypergraph Neural Networks
Tensorized Hypergraph Neural NetworksSDM (SDM), 2023
Xinjian Zhao
Yao Zhen
Yu Pan
Yao Zhao
Chenyi Zhuang
Zenglin Xu
Ruocheng Guo
Xiangyu Zhao
230
5
0
05 Jun 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance
  between Compact Architecture and Fast Training
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast TrainingJournal of Systems Engineering and Electronics (JSEE), 2023
Xinwei Ou
Zhangxin Chen
Ce Zhu
Yipeng Liu
213
9
0
22 Mar 2023
Compressive Sensing with Tensorized Autoencoder
Compressive Sensing with Tensorized AutoencoderIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Rakib Hyder
M. Salman Asif
121
1
0
10 Mar 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Xinjian Zhao
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
587
36
0
22 Jan 2023
Training Lightweight Graph Convolutional Networks with Phase-field
  Models
Training Lightweight Graph Convolutional Networks with Phase-field Models
H. Sahbi
153
0
0
19 Dec 2022
CSTAR: Towards Compact and STructured Deep Neural Networks with
  Adversarial Robustness
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2022
Huy Phan
Miao Yin
Yang Sui
Bo Yuan
S. Zonouz
AAMLGNN
247
8
0
04 Dec 2022
Towards Practical Control of Singular Values of Convolutional Layers
Towards Practical Control of Singular Values of Convolutional LayersNeural Information Processing Systems (NeurIPS), 2022
Alexandra Senderovich
Ekaterina Bulatova
Anton Obukhov
M. Rakhuba
AAML
203
12
0
24 Nov 2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker
  Decomposition
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker DecompositionACM SIGPLAN Symposium on Principles & Practice of Parallel Programming (PPoPP), 2022
Lizhi Xiang
Miao Yin
Chengming Zhang
Aravind Sukumaran-Rajam
P. Sadayappan
Bo Yuan
Dingwen Tao
3DV
203
9
0
07 Nov 2022
SeKron: A Decomposition Method Supporting Many Factorization Structures
SeKron: A Decomposition Method Supporting Many Factorization Structures
Marawan Gamal Abdel Hameed
A. Mosleh
Marzieh S. Tahaei
V. Nia
173
1
0
12 Oct 2022
TT-NF: Tensor Train Neural Fields
TT-NF: Tensor Train Neural FieldsIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Anton Obukhov
Mikhail (Misha) Usvyatsov
Daniel Gehrig
Konrad Schindler
Luc Van Gool
181
7
0
30 Sep 2022
Interaction Decompositions for Tensor Network Regression
Interaction Decompositions for Tensor Network Regression
Ian Convy
K. B. Whaley
200
7
0
11 Aug 2022
One-dimensional Tensor Network Recovery
One-dimensional Tensor Network RecoverySIAM Journal on Matrix Analysis and Applications (SIMAX), 2022
Ziang Chen
Jianfeng Lu
Anru R. Zhang
331
4
0
21 Jul 2022
Nimble GNN Embedding with Tensor-Train Decomposition
Nimble GNN Embedding with Tensor-Train DecompositionKnowledge Discovery and Data Mining (KDD), 2022
Chunxing Yin
Da Zheng
Israt Nisa
Christos Faloutsos
George Karypis
R. Vuduc
GNN
179
18
0
21 Jun 2022
STN: Scalable Tensorizing Networks via Structure-Aware Training and
  Adaptive Compression
STN: Scalable Tensorizing Networks via Structure-Aware Training and Adaptive Compression
Chang Nie
Haiquan Wang
Lu Zhao
190
0
0
30 May 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional
  Neural Networks
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Yu Pan
Zeyong Su
Ao Liu
Jingquan Wang
Nannan Li
Zenglin Xu
188
14
0
28 May 2022
Tensor Shape Search for Optimum Data Compression
Tensor Shape Search for Optimum Data Compression
Ryan Solgi
Zichang He
William Liang
Zheng Zhang
113
2
0
21 May 2022
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization
Kecheng Zheng
Yang Cao
Kai Zhu
Ruijing Zhao
Zhengjun Zha
185
10
0
24 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
387
58
0
09 Mar 2022
How to Train Unstable Looped Tensor Network
How to Train Unstable Looped Tensor Network
Anh-Huy Phan
Konstantin Sobolev
Dmitry Ermilov
Igor Vorona
Nikolay Kozyrskiy
P. Tichavský
A. Cichocki
129
3
0
05 Mar 2022
Parallel Successive Learning for Dynamic Distributed Model Training over
  Heterogeneous Wireless Networks
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless NetworksIEEE/ACM Transactions on Networking (TON), 2022
Seyyedali Hosseinalipour
Su Wang
Nicolò Michelusi
Vaneet Aggarwal
Christopher G. Brinton
David J. Love
M. Chiang
364
31
0
07 Feb 2022
Classical Simulation of Variational Quantum Classifiers using Tensor
  Rings
Classical Simulation of Variational Quantum Classifiers using Tensor RingsApplied Soft Computing (ASC), 2022
Dheeraj Peddireddy
V. Bansal
Vaneet Aggarwal
189
12
0
21 Jan 2022
Nonlinear Tensor Ring Network
Nonlinear Tensor Ring Network
Xiao Peng Li
Qi Liu
Hayden Kwok-Hay So
150
0
0
12 Nov 2021
Learning Circular Hidden Quantum Markov Models: A Tensor Network
  Approach
Learning Circular Hidden Quantum Markov Models: A Tensor Network ApproachIEEE Transactions on Quantum Engineering (IEEE TQE), 2021
Mohammad Ali Javidian
Vaneet Aggarwal
Z. Jacob
157
5
0
29 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations
Reconstructing Pruned Filters using Cheap Spatial Transformations
Roy Miles
K. Mikolajczyk
305
0
0
25 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
161
7
0
30 Sep 2021
Convolutional Neural Network Compression through Generalized Kronecker
  Product Decomposition
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
Marawan Gamal Abdel Hameed
Marzieh S. Tahaei
A. Mosleh
V. Nia
167
31
0
29 Sep 2021
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train
  Decomposition for Convolutional Neural Networks
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks
Anuar Taskynov
Vladimir Korviakov
I. Mazurenko
Yepan Xiong
160
2
0
09 Aug 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression with
  Optimization Framework
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization FrameworkComputer Vision and Pattern Recognition (CVPR), 2021
Miao Yin
Yang Sui
Siyu Liao
Bo Yuan
149
97
0
26 Jul 2021
Joint Matrix Decomposition for Deep Convolutional Neural Networks
  Compression
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Shaowu Chen
Jihao Zhou
Weize Sun
Lei Huang
248
28
0
09 Jul 2021
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models
Behnoush Khavari
Guillaume Rabusseau
202
3
0
22 Jun 2021
Spectral Tensor Train Parameterization of Deep Learning Layers
Spectral Tensor Train Parameterization of Deep Learning LayersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Anton Obukhov
M. Rakhuba
Alexander Liniger
Zhiwu Huang
Stamatios Georgoulis
Dengxin Dai
Luc Van Gool
214
10
0
07 Mar 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
Scaling Up Exact Neural Network Compression by ReLU StabilityNeural Information Processing Systems (NeurIPS), 2021
Thiago Serra
Xin Yu
Abhinav Kumar
Srikumar Ramalingam
324
27
0
15 Feb 2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
TT-Rec: Tensor Train Compression for Deep Learning Recommendation ModelsConference on Machine Learning and Systems (MLSys), 2021
Chunxing Yin
Bilge Acun
Xing Liu
Carole-Jean Wu
273
115
0
25 Jan 2021
Towards Compact Neural Networks via End-to-End Training: A Bayesian
  Tensor Approach with Automatic Rank Determination
Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank DeterminationSIAM Journal on Mathematics of Data Science (SIMODS), 2020
Cole Hawkins
Xing-er Liu
Zheng Zhang
BDLMQ
289
33
0
17 Oct 2020
Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway
  Representation Learning
Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning
Yuyuan Yu
Guoxu Zhou
Ning Zheng
Shengli Xie
Qianchuan Zhao
217
7
0
12 Oct 2020
12
Next
Page 1 of 2