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2010.08689
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Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination
17 October 2020
Cole Hawkins
Xing-er Liu
Zheng Zhang
BDL
MQ
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Papers citing
"Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination"
15 / 15 papers shown
Title
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Yequan Zhao
Xinling Yu
Xian Xiao
Zhe Chen
Ziyue Liu
G. Kurczveil
R. Beausoleil
Shixuan Liu
Zheng Zhang
126
0
0
17 Feb 2025
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors
Joseph K. Chege
Arie Yeredor
Martin Haardt
47
0
0
08 Oct 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
Zi Yang
Samridhi Choudhary
Xinfeng Xie
Cao Gao
Siegfried Kunzmann
Zheng Zhang
VLM
131
10
0
23 May 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
Xitong Zhang
Ismail Alkhouri
Rongrong Wang
96
0
0
06 May 2024
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
Yifan Yang
Jiajun Zhou
Ngai Wong
Zheng Zhang
73
8
0
18 Feb 2024
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks
Yang Sui
Miao Yin
Yu Gong
Jinqi Xiao
Huy Phan
Bo Yuan
97
6
0
18 Jan 2024
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
Yequan Zhao
Xinling Yu
Zhixiong Chen
Ziyue Liu
Sijia Liu
Zheng Zhang
PINN
78
11
0
18 Aug 2023
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Ziao Yang
Samridhi Choudhary
Siegfried Kunzmann
Zheng Zhang
MQ
79
3
0
01 Jun 2023
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
Jetze T. Schuurmans
Kim Batselier
Julian F. P. Kooij
30
1
0
09 May 2023
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
Jiaqi Gu
Ben Keller
Jean Kossaifi
Anima Anandkumar
Brucek Khailany
David Z. Pan
ViT
66
9
0
30 Nov 2022
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
118
3
0
22 Aug 2022
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
Ziyue Liu
Xinling Yu
Zheng Zhang
PINN
69
7
0
04 Jul 2022
Tensor Shape Search for Optimum Data Compression
Ryan Solgi
Zichang He
William Liang
Zheng Zhang
46
2
0
21 May 2022
Low-Rank+Sparse Tensor Compression for Neural Networks
Cole Hawkins
Haichuan Yang
Meng Li
Liangzhen Lai
Vikas Chandra
60
3
0
02 Nov 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration
Yao Chen
Cole Hawkins
Kaiqi Zhang
Zheng Zhang
Cong Hao
67
8
0
11 May 2021
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