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. 1412.6553
  4. Cited By
Speeding-up Convolutional Neural Networks Using Fine-tuned
  CP-Decomposition
v1v2v3 (latest)

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

International Conference on Learning Representations (ICLR), 2014
19 December 2014
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
ArXiv (abs)PDFHTML

Papers citing "Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition"

50 / 412 papers shown
CompressNAS : A Fast and Efficient Technique for Model Compression using Decomposition
CompressNAS : A Fast and Efficient Technique for Model Compression using Decomposition
Sudhakar Sah
Nikhil Chabbra
Matthieu Durnerin
114
0
0
12 Nov 2025
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
Alper Kalle
Theo Rudkiewicz
M. Ouerfelli
Mohamed Tamaazousti
332
0
0
06 Nov 2025
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram
Alaa Maalouf
Pratyusha Sharma
Daniela Rus
118
0
0
23 Oct 2025
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Lorenzo Nikiforos
Charalampos Antoniadis
Luciano Prono
F. Pareschi
R. Rovatti
Gianluca Setti
119
0
0
09 Oct 2025
Adaptive Stain Normalization for Cross-Domain Medical Histology
Adaptive Stain Normalization for Cross-Domain Medical HistologyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Tianyue Xu
Yanlin Wu
Abhai K. Tripathi
Matthew M. Ippolito
Benjamin D. Haeffele
OODMedIm
131
0
0
08 Oct 2025
Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
Conditional Pseudo-Supervised Contrast for Data-Free Knowledge DistillationPattern Recognition (Pattern Recogn.), 2023
Renrong Shao
Wei Zhang
Ning Yang
144
10
0
03 Oct 2025
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
Annan Yu
Danielle C. Maddix
Boran Han
Xiyuan Zhang
Abdul Fatir Ansari
Oleksandr Shchur
Christos Faloutsos
Andrew Gordon Wilson
Michael W. Mahoney
Yuyang Wang
AI4TS
160
2
0
02 Oct 2025
BALF: Budgeted Activation-Aware Low-Rank Factorization for Fine-Tuning-Free Model Compression
BALF: Budgeted Activation-Aware Low-Rank Factorization for Fine-Tuning-Free Model Compression
David González Martínez
174
0
0
29 Sep 2025
Efficient CNN Compression via Multi-method Low Rank Factorization and Feature Map Similarity
Efficient CNN Compression via Multi-method Low Rank Factorization and Feature Map Similarity
M. Kokhazadeh
G. Keramidas
V. Kelefouras
3DV
117
0
0
29 Sep 2025
QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
Jessica Liang
Anirudh Bharadwaj
76
1
0
29 Aug 2025
Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training
Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training
Hyuntak Shin
Aecheon Jung
Sungeun Hong
Sunwoo Lee
113
0
0
12 Aug 2025
Identifiability of Deep Polynomial Neural Networks
Identifiability of Deep Polynomial Neural Networks
K. Usevich
Clara Dérand
Ricardo Augusto Borsoi
Marianne Clausel
206
3
0
20 Jun 2025
It Takes a Good Model to Train a Good Model: Generalized Gaussian Priors for Optimized LLMs
It Takes a Good Model to Train a Good Model: Generalized Gaussian Priors for Optimized LLMs
Jun Wu
Yirong Xiong
Jiangtao Wen
Yuxing Han
381
0
0
31 May 2025
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
Safa Hamreras
Sukhbinder Singh
Roman Orus
342
1
0
26 May 2025
Image Recognition with Online Lightweight Vision Transformer: A Survey
Image Recognition with Online Lightweight Vision Transformer: A Survey
Zherui Zhang
Rongtao Xu
Jie Zhou
Changwei Wang
Xingtian Pei
...
Jiguang Zhang
Li Guo
Longxiang Gao
Wenyuan Xu
Shibiao Xu
ViT
1.2K
2
0
06 May 2025
NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks
NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks
Alex Reneau
Jerry Yao-Chieh Hu
Zhongfang Zhuang
Ting-Chun Liu
Xiang He
Judah Goldfeder
Nadav Timor
Allen Roush
Ravid Shwartz-Ziv
HAI
442
0
0
21 Mar 2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Low Tensor-Rank Adaptation of Kolmogorov--Arnold NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2025
Yihang Gao
Michael K. Ng
Vincent Y. F. Tan
471
2
0
17 Feb 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to CompressInternational Conference on Learning Representations (ICLR), 2025
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
342
1
0
14 Feb 2025
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
Yikun Hou
Suvrit Sra
A. Yurtsever
355
0
0
27 Jan 2025
TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training
TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training
Robert Joseph George
David Pitt
Jiawei Zhao
Jean Kossaifi
Cheng Luo
Yuandong Tian
Julius Berner
Anima Anandkumar
321
2
0
04 Jan 2025
Lightweight Design and Optimization methods for DCNNs: Progress and
  Futures
Lightweight Design and Optimization methods for DCNNs: Progress and Futures
Hanhua Long
Wenbin Bi
Jian Sun
242
3
0
22 Dec 2024
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Aosong Feng
Rex Ying
Leandros Tassiulas
247
3
0
28 Oct 2024
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
Maximilian Augustin
Syed Shakib Sarwar
Mostafa Elhoushi
Sai Qian Zhang
Yuecheng Li
B. D. Salvo
253
1
0
23 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace DisentanglementInternational Conference on Learning Representations (ICLR), 2024
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTAAI4TS
390
6
0
03 Oct 2024
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
Aggelina Chatziagapi
Grigorios G. Chrysos
Dimitris Samaras
3DGS
265
3
0
10 Jul 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence
  Guarantees
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
Steffen Schotthöfer
M. P. Laiu
FedML
246
12
0
25 Jun 2024
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
Yiran Luo
Het Patel
Yu Fu
Dawon Ahn
Jia Chen
Yue Dong
Evangelos E. Papalexakis
172
1
0
25 Jun 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
Group and Shuffle: Efficient Structured Orthogonal ParametrizationNeural Information Processing Systems (NeurIPS), 2024
Mikhail Gorbunov
Nikolay Yudin
Vera Soboleva
Aibek Alanov
Alexey Naumov
Maxim Rakhuba
180
8
0
14 Jun 2024
Vertical LoRA: Dense Expectation-Maximization Interpretation of
  Transformers
Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers
Zhuolin Fu
198
0
0
13 Jun 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive
  Tensor Optimization
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor OptimizationNeural Information Processing Systems (NeurIPS), 2024
Zi Yang
Samridhi Choudhary
Xinfeng Xie
Cao Gao
Siegfried Kunzmann
Zheng Zhang
VLM
359
16
0
23 May 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
370
0
0
17 May 2024
Characterizing the Accuracy - Efficiency Trade-off of Low-rank
  Decomposition in Language Models
Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models
Chakshu Moar
Michael Pellauer
Hyoukjun Kwon
140
5
0
10 May 2024
Post-Training Network Compression for 3D Medical Image Segmentation:
  Reducing Computational Efforts via Tucker Decomposition
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
Tobias Weber
Jakob Dexl
David Rügamer
Michael Ingrisch
MedIm
325
2
0
15 Apr 2024
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Frederiek Wesel
Kim Batselier
299
0
0
28 Mar 2024
Tiny Machine Learning: Progress and Futures
Tiny Machine Learning: Progress and Futures
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Song Han
266
119
0
28 Mar 2024
Generative Quanta Color Imaging
Generative Quanta Color Imaging
Vishal Purohit
Junjie Luo
Yiheng Chi
Qi Guo
Stanley H. Chan
Qiang Qiu
MQ
217
2
0
28 Mar 2024
Tensor network compressibility of convolutional models
Tensor network compressibility of convolutional models
Sukhbinder Singh
S. Jahromi
Roman Orus
126
4
0
21 Mar 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
201
16
0
18 Feb 2024
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Arnav Chavan
Raghav Magazine
Shubham Kushwaha
M. Debbah
Deepak Gupta
301
37
0
02 Feb 2024
Convolutional Neural Network Compression via Dynamic Parameter Rank
  Pruning
Convolutional Neural Network Compression via Dynamic Parameter Rank PruningIEEE Access (IEEE Access), 2024
Manish Sharma
Jamison Heard
Eli Saber
Panos P. Markopoulos
240
3
0
15 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
Boosting Defect Detection in Manufacturing using Tensor Convolutional
  Neural Networks
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
Pablo Martin-Ramiro
Unai Sainz de la Maza
Sukhbinder Singh
Roman Orus
Samuel Mugel
UQCV
227
4
0
29 Dec 2023
A Unifying Tensor View for Lightweight CNNs
A Unifying Tensor View for Lightweight CNNsInternational Conference on ASIC (ICA), 2023
Jason Chun Lok Li
Rui Lin
Jiajun Zhou
Edmund Y. Lam
Ngai Wong
112
0
0
15 Dec 2023
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models
Zhihang Yuan
Yuzhang Shang
Yue Song
Dawei Yang
Qiang Wu
Yan Yan
Guangyu Sun
MQ
748
105
0
10 Dec 2023
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
Zhiteng Li
Yulun Zhang
Jing Lin
Haotong Qin
Jinjin Gu
Xin Yuan
Linghe Kong
Yunbo Wang
3DH
410
1
0
24 Nov 2023
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores
Zeliang Zhang
Zhuo Liu
Susan Liang
Zhiyuan Wang
Yifan Zhu
Chen Ding
Chenliang Xu
191
1
0
22 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive
  Review
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
268
17
0
20 Nov 2023
FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer
FLORA: Fine-grained Low-Rank Architecture Search for Vision TransformerIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Chi-Chih Chang
Yuan-Yao Sung
Shixing Yu
N. Huang
Diana Marculescu
Kai-Chiang Wu
ViT
167
4
0
07 Nov 2023
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Jean Kossaifi
Nikola B. Kovachki
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
266
60
0
29 Sep 2023
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from
  Scratch
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
P. Zhai
K. Guo
Fan Liu
Xiaofen Xing
Xiangmin Xu
291
3
0
25 Sep 2023
123456789
Next
Page 1 of 9