ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.08689
  4. Cited By
Towards Compact Neural Networks via End-to-End Training: A Bayesian
  Tensor Approach with Automatic Rank Determination
v1v2v3 (latest)

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
    BDLMQ
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
1