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1705.08052
Cited By
Compressing Recurrent Neural Network with Tensor Train
23 May 2017
Andros Tjandra
S. Sakti
Satoshi Nakamura
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Papers citing
"Compressing Recurrent Neural Network with Tensor Train"
50 / 55 papers shown
Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model
Yunfeng Li
Junhong Liu
Zhaohui Yang
Guofu Liao
Chuyun Zhang
349
1
0
19 Jul 2025
A Scalable Factorization Approach for High-Order Structured Tensor Recovery
Zhen Qin
Michael B. Wakin
Zhihui Zhu
229
5
0
19 Jun 2025
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
Steffen Schotthöfer
M. P. Laiu
FedML
281
12
0
25 Jun 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
Neural Information Processing Systems (NeurIPS), 2024
Zi Yang
Samridhi Choudhary
Xinfeng Xie
Cao Gao
Siegfried Kunzmann
Zheng Zhang
VLM
395
16
0
23 May 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
Zhen Qin
M. Wakin
Zhihui Zhu
486
15
0
05 Jan 2024
Tensor networks for interpretable and efficient quantum-inspired machine learning
Shirli Ran
Gang Su
274
21
0
19 Nov 2023
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Interspeech (Interspeech), 2023
Ziao Yang
Samridhi Choudhary
Siegfried Kunzmann
Zheng Zhang
MQ
308
6
0
01 Jun 2023
Tetra-AML: Automatic Machine Learning via Tensor Networks
Applied Sciences (Appl. Sci.), 2023
A. Naumov
Ar. Melnikov
V. Abronin
F. Oxanichenko
K. Izmailov
M. Pflitsch
A. Melnikov
M. Perelshtein
193
13
0
28 Mar 2023
Embedding Compression for Text Classification Using Dictionary Screening
Jing Zhou
Xinru Jing
Mu Liu
Hansheng Wang
185
0
0
23 Nov 2022
Error Analysis of Tensor-Train Cross Approximation
Neural Information Processing Systems (NeurIPS), 2022
Zhen Qin
Alexander Lidiak
Zhexuan Gong
Gongguo Tang
M. Wakin
Zhihui Zhu
325
12
0
09 Jul 2022
Canonical convolutional neural networks
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Lokesh Veeramacheneni
Moritz Wolter
Reinhard Klein
Jochen Garcke
212
4
0
03 Jun 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Lei Cheng
Feng Yin
Sergios Theodoridis
S. Chatzis
Tsung-Hui Chang
369
93
0
28 May 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Neural Information Processing Systems (NeurIPS), 2022
Steffen Schotthöfer
Emanuele Zangrando
J. Kusch
Gianluca Ceruti
Francesco Tudisco
308
58
0
26 May 2022
Position: Tensor Networks are a Valuable Asset for Green AI
International Conference on Machine Learning (ICML), 2022
Eva Memmel
Clara Menzen
Jetze T. Schuurmans
Frederiek Wesel
Kim Batselier
394
9
0
25 May 2022
TTML: tensor trains for general supervised machine learning
Bart Vandereycken
Rik Voorhaar
234
3
0
08 Mar 2022
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
295
64
0
06 Oct 2021
Large-Scale Learning with Fourier Features and Tensor Decompositions
Frederiek Wesel
Kim Batselier
343
18
0
03 Sep 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
Machine Intelligence Research (MIR), 2021
Yang Wu
Dingheng Wang
Xiaotong Lu
Fan Yang
Guoqi Li
Weiming Dong
Jianbo Shi
414
18
0
30 Aug 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Peiyu Liu
Ze-Feng Gao
Wayne Xin Zhao
Z. Xie
Zhong-Yi Lu
Ji-Rong Wen
165
33
0
04 Jun 2021
Spectral Pruning for Recurrent Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Takashi Furuya
Kazuma Suetake
K. Taniguchi
Hiroyuki Kusumoto
Ryuji Saiin
Tomohiro Daimon
219
4
0
23 May 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Y. Xu
G. G. Calvi
Danilo P. Mandic
AI4TS
307
15
0
11 May 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration
ACM Great Lakes Symposium on VLSI (GLSVLSI), 2021
Yao Chen
Cole Hawkins
Kaiqi Zhang
Zheng Zhang
Cong Hao
166
9
0
11 May 2021
On the Memory Mechanism of Tensor-Power Recurrent Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Hejia Qiu
Chao Li
Ying Weng
Zhun Sun
Xingyu He
Qibin Zhao
194
6
0
02 Mar 2021
Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices
Conference on Machine Learning and Systems (MLSys), 2021
Urmish Thakker
P. Whatmough
Zhi-Gang Liu
Matthew Mattina
Jesse G. Beu
188
7
0
14 Feb 2021
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
Machine-mediated learning (ML), 2020
Tianyu Li
Doina Precup
Guillaume Rabusseau
341
10
0
19 Oct 2020
Block-term Tensor Neural Networks
Neural Networks (NN), 2020
Jinmian Ye
Guangxi Li
Di Chen
Haiqin Yang
Shandian Zhe
Zenglin Xu
366
34
0
10 Oct 2020
A Fully Tensorized Recurrent Neural Network
Charles C. Onu
Jacob Miller
Doina Precup
MQ
331
7
0
08 Oct 2020
Rank and run-time aware compression of NLP Applications
Urmish Thakker
Jesse G. Beu
Dibakar Gope
Ganesh S. Dasika
Matthew Mattina
173
12
0
06 Oct 2020
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs
Dingheng Wang
Bijiao Wu
Guangshe Zhao
Man Yao
Hengnu Chen
Lei Deng
Tianyi Yan
Guoqi Li
MQ
222
29
0
21 Aug 2020
Compression of Deep Learning Models for Text: A Survey
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Manish Gupta
Puneet Agrawal
VLM
MedIm
AI4CE
681
141
0
12 Aug 2020
Tensor train decompositions on recurrent networks
A. Murua
R. Ramakrishnan
Xinlin Li
Rui Heng Yang
V. Nia
190
0
0
09 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
Sicong Liu
Junzhao Du
Kaiming Nan
Zimu Zhou
Zinan Lin
Yingyan Lin
228
32
0
08 Jun 2020
Neural network compression via learnable wavelet transforms
Moritz Wolter
Shaohui Lin
Angela Yao
225
1
0
20 Apr 2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Neural Information Processing Systems (NeurIPS), 2020
Jiahao Su
Wonmin Byeon
Jean Kossaifi
Furong Huang
Jan Kautz
Anima Anandkumar
AI4TS
480
140
0
21 Feb 2020
Compressing Language Models using Doped Kronecker Products
Urmish Thakker
Paul Whatamough
Zhi-Gang Liu
Matthew Mattina
Jesse G. Beu
280
10
0
24 Jan 2020
Compressing 3DCNNs Based on Tensor Train Decomposition
Dingheng Wang
Guangshe Zhao
Guoqi Li
Lei Deng
Yang Wu
179
6
0
08 Dec 2019
Structured Sparsification of Gated Recurrent Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2019
E. Lobacheva
Nadezhda Chirkova
Alexander Markovich
Dmitry Vetrov
301
3
0
13 Nov 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Neural Information Processing Systems (NeurIPS), 2019
Maksim Kuznetsov
Daniil Polykovskiy
Dmitry Vetrov
Alexander Zhebrak
GAN
136
19
0
29 Oct 2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
Genta Indra Winata
Andrea Madotto
Jamin Shin
Elham J. Barezi
Pascale Fung
165
31
0
27 Aug 2019
Restricted Recurrent Neural Networks
Enmao Diao
Jie Ding
Vahid Tarokh
207
21
0
21 Aug 2019
Run-Time Efficient RNN Compression for Inference on Edge Devices
Urmish Thakker
Jesse G. Beu
Dibakar Gope
Ganesh S. Dasika
Matthew Mattina
330
21
0
12 Jun 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products
Urmish Thakker
Jesse G. Beu
Dibakar Gope
Chu Zhou
Igor Fedorov
Ganesh S. Dasika
Matthew Mattina
483
36
0
07 Jun 2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
North American Chapter of the Association for Computational Linguistics (NAACL), 2019
Wenhu Chen
Yu-Chuan Su
Yilin Shen
Zhiyu Zoey Chen
Xifeng Yan
Wenjie Wang
VLM
349
32
0
27 Feb 2019
Compression of Recurrent Neural Networks for Efficient Language Modeling
Artem M. Grachev
D. Ignatov
Andrey V. Savchenko
227
43
0
06 Feb 2019
Tensorized Embedding Layers for Efficient Model Compression
Oleksii Hrinchuk
Valentin Khrulkov
L. Mirvakhabova
Elena Orlova
Ivan Oseledets
325
75
0
30 Jan 2019
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden
Dianbo Liu
N. Sepulveda
Ming Zheng
255
7
0
23 Dec 2018
Bayesian Sparsification of Gated Recurrent Neural Networks
E. Lobacheva
Nadezhda Chirkova
Dmitry Vetrov
BDL
179
2
0
12 Dec 2018
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Jenn-Bing Ong
W. Ng
C.-C. Jay Kuo
AAML
197
1
0
20 Nov 2018
Bayesian Compression for Natural Language Processing
Nadezhda Chirkova
E. Lobacheva
Dmitry Vetrov
BDL
180
15
0
25 Oct 2018
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Guillaume Rabusseau
Tianyu Li
Doina Precup
417
44
0
04 Jul 2018
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