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Speeding up Convolutional Neural Networks with Low Rank Expansions

Speeding up Convolutional Neural Networks with Low Rank Expansions

British Machine Vision Conference (BMVC), 2014
15 May 2014
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
ArXiv (abs)PDFHTML

Papers citing "Speeding up Convolutional Neural Networks with Low Rank Expansions"

50 / 667 papers shown
Information-Theoretic GAN Compression with Variational Energy-based
  Model
Information-Theoretic GAN Compression with Variational Energy-based ModelNeural Information Processing Systems (NeurIPS), 2023
Minsoo Kang
Hyewon Yoo
Eunhee Kang
Sehwan Ki
Hyong-Euk Lee
Bohyung Han
GAN
210
4
0
28 Mar 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
206
9
0
22 Mar 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning:
  Requirements, Paradigms, and Techniques
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and TechniquesApplied Informatics (AI), 2023
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
315
20
0
16 Feb 2023
Singular Value Representation: A New Graph Perspective On Neural
  Networks
Singular Value Representation: A New Graph Perspective On Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
D. Meller
Nicolas Berkouk
GNN
161
2
0
16 Feb 2023
Towards Optimal Compression: Joint Pruning and Quantization
Towards Optimal Compression: Joint Pruning and Quantization
Ben Zandonati
Glenn Bucagu
Adrian Alan Pol
M. Pierini
Olya Sirkin
Tal Kopetz
MQ
322
5
0
15 Feb 2023
LUT-NN: Empower Efficient Neural Network Inference with Centroid
  Learning and Table Lookup
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table LookupACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2023
Xiaohu Tang
Yang Wang
Ting Cao
Li Zhang
Qi Chen
Deng Cai
Yunxin Liu
Mao Yang
174
32
0
07 Feb 2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture
  with Global Atrous Sliding Window
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window
Yuanpeng He
AI4TS
147
0
0
31 Jan 2023
The Power of Linear Combinations: Learning with Random Convolutions
The Power of Linear Combinations: Learning with Random Convolutions
Paul Gavrikov
J. Keuper
262
2
0
26 Jan 2023
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network BinarizationInternational Conference on Machine Learning (ICML), 2023
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
Feng Yu
Xianglong Liu
MQAAML
283
50
0
26 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of
  Quantized CNNs
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
253
3
0
15 Jan 2023
FSCNN: A Fast Sparse Convolution Neural Network Inference System
FSCNN: A Fast Sparse Convolution Neural Network Inference System
Bo Ji
Tianyi Chen
140
3
0
17 Dec 2022
AI-driven Mobile Apps: an Explorative Study
AI-driven Mobile Apps: an Explorative StudyJournal of Systems and Software (JSS), 2022
Yinghua Li
Xueqi Dang
Haoye Tian
Tiezhu Sun
Zhijie Wang
Lei Ma
Jacques Klein
Tegawende F. Bissyande
137
6
0
03 Dec 2022
Compressing Volumetric Radiance Fields to 1 MB
Compressing Volumetric Radiance Fields to 1 MBComputer Vision and Pattern Recognition (CVPR), 2022
Lingzhi Li
Zhen Shen
Zhongshu Wang
Li Shen
Liefeng Bo
170
84
0
29 Nov 2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention
GhostNetV2: Enhance Cheap Operation with Long-Range AttentionNeural Information Processing Systems (NeurIPS), 2022
Yehui Tang
Kai Han
Jianyuan Guo
Chang Xu
Chaoting Xu
Yunhe Wang
252
458
0
23 Nov 2022
Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers
Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers
Tzu-Quan Lin
Tsung-Huan Yang
Chun-Yao Chang
Kuang-Ming Chen
Tzu-hsun Feng
Hung-yi Lee
Hao Tang
295
6
0
17 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
235
2
0
14 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhekai Zhang
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
497
61
0
03 Nov 2022
Exploring the Effects of Channel Sparsity on Neural Network Pruning for
  Acoustic Scene Classification
Exploring the Effects of Channel Sparsity on Neural Network Pruning for Acoustic Scene Classification
Yiqian Cai
Shengchen Li
151
0
0
28 Oct 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix
  Factorization
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
Alireza Bordbar
M. Kahaei
MQ
287
0
0
24 Oct 2022
Pushing the Efficiency Limit Using Structured Sparse Convolutions
Pushing the Efficiency Limit Using Structured Sparse ConvolutionsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Vinay Kumar Verma
Nikhil Mehta
Shijing Si
Ricardo Henao
Lawrence Carin
182
3
0
23 Oct 2022
Combining Neuro-Evolution of Augmenting Topologies with Convolutional
  Neural Networks
Combining Neuro-Evolution of Augmenting Topologies with Convolutional Neural Networks
Jan Hohenheim
Mathias Fischler
Sara Zarubica
Jeremy Stucki
52
1
0
20 Oct 2022
Approximating Continuous Convolutions for Deep Network Compression
Approximating Continuous Convolutions for Deep Network CompressionBritish Machine Vision Conference (BMVC), 2022
Theo W. Costain
V. Prisacariu
175
0
0
17 Oct 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
164
1
0
12 Oct 2022
Towards a Unified View of Affinity-Based Knowledge Distillation
Towards a Unified View of Affinity-Based Knowledge Distillation
Vladimir Li
A. Maki
195
0
0
30 Sep 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
178
7
0
30 Sep 2022
Exploring Low Rank Training of Deep Neural Networks
Exploring Low Rank Training of Deep Neural Networks
Siddhartha Rao Kamalakara
Acyr Locatelli
Bharat Venkitesh
Jimmy Ba
Y. Gal
Aidan Gomez
164
31
0
27 Sep 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No
  Assumptions
Pruning Neural Networks via Coresets and Convex Geometry: Towards No AssumptionsNeural Information Processing Systems (NeurIPS), 2022
M. Tukan
Loay Mualem
Alaa Maalouf
3DPC
187
26
0
18 Sep 2022
Seeking Interpretability and Explainability in Binary Activated Neural
  Networks
Seeking Interpretability and Explainability in Binary Activated Neural Networks
Benjamin Leblanc
Pascal Germain
FAtt
445
1
0
07 Sep 2022
Federated Learning of Large Models at the Edge via Principal Sub-Model
  Training
Federated Learning of Large Models at the Edge via Principal Sub-Model Training
Yue Niu
Saurav Prakash
Souvik Kundu
Sunwoo Lee
Salman Avestimehr
FedML
251
18
0
28 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani
Oliver Hahn
Eduard Zamfir
Nikita Araslanov
Zorah Lähner
Stefan Roth
OODTTAVLM
363
10
0
10 Aug 2022
Low-complexity Approximate Convolutional Neural Networks
Low-complexity Approximate Convolutional Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018
R. de Sobral Cintra
S. Duffner
Christophe Garcia
André Leite
MQ
234
48
0
29 Jul 2022
Augmented Bilinear Network for Incremental Multi-Stock Time-Series
  Classification
Augmented Bilinear Network for Incremental Multi-Stock Time-Series ClassificationPattern Recognition (Pattern Recogn.), 2022
M. Shabani
D. Tran
Juho Kanniainen
Alexandros Iosifidis
OODAIFin
242
9
0
23 Jul 2022
Quantized Sparse Weight Decomposition for Neural Network Compression
Quantized Sparse Weight Decomposition for Neural Network Compression
Andrey Kuzmin
M. V. Baalen
Markus Nagel
Arash Behboodi
MQ
142
3
0
22 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks
DASS: Differentiable Architecture Search for Sparse neural networksACM Transactions on Embedded Computing Systems (TECS), 2022
H. Mousavi
Mohammad Loni
Mina Alibeigi
Masoud Daneshtalab
374
16
0
14 Jul 2022
Language model compression with weighted low-rank factorization
Language model compression with weighted low-rank factorizationInternational Conference on Learning Representations (ICLR), 2022
Yen-Chang Hsu
Ting Hua
Sung-En Chang
Qiang Lou
Yilin Shen
Hongxia Jin
296
171
0
30 Jun 2022
On Efficient Real-Time Semantic Segmentation: A Survey
On Efficient Real-Time Semantic Segmentation: A Survey
Christopher J. Holder
Mohamed Bennai
SSeg
297
26
0
17 Jun 2022
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework
Jani Boutellier
Bo Tan
J. Nurmi
128
3
0
16 Jun 2022
Canonical convolutional neural networks
Canonical convolutional neural networksIEEE International Joint Conference on Neural Network (IJCNN), 2022
Lokesh Veeramacheneni
Moritz Wolter
Reinhard Klein
Jochen Garcke
145
4
0
03 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating
Gator: Customizable Channel Pruning of Neural Networks with GatingInternational Conference on Artificial Neural Networks (ICANN), 2022
E. Passov
E. David
N. Netanyahu
AAML
164
0
0
30 May 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
185
0
0
30 May 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via
  matrix differential equations
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equationsNeural Information Processing Systems (NeurIPS), 2022
Steffen Schotthöfer
Emanuele Zangrando
J. Kusch
Gianluca Ceruti
Francesco Tudisco
259
52
0
26 May 2022
Position: Tensor Networks are a Valuable Asset for Green AI
Position: Tensor Networks are a Valuable Asset for Green AIInternational Conference on Machine Learning (ICML), 2022
Eva Memmel
Clara Menzen
Jetze T. Schuurmans
Frederiek Wesel
Kim Batselier
309
9
0
25 May 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
223
107
0
11 May 2022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li
Lucas Beerens
Radu Timofte
Luc Van Gool
Fang Kong
...
Deng-Guang Zhou
Kun Zeng
Han-Yuan Lin
Xinyu Chen
Jin-Tao Fang
SupR
200
85
0
11 May 2022
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
199
1
0
09 May 2022
Arrhythmia Classifier using Binarized Convolutional Neural Network for
  Resource-Constrained Devices
Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices
Ao Wang
Wenxing Xu
Hanshi Sun
Ninghao Pu
Zijing Liu
Hao Liu
180
12
0
07 May 2022
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep
  Convolutional Neural Networks
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep Convolutional Neural Networks
Zhaofeng Si
H. Qi
Xiaoyu Song
CVBM
187
0
0
07 May 2022
Towards Feature Distribution Alignment and Diversity Enhancement for
  Data-Free Quantization
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free QuantizationIndustrial Conference on Data Mining (IDM), 2022
Yangcheng Gao
Zhao Zhang
Richang Hong
Haijun Zhang
Jicong Fan
Shuicheng Yan
MQ
172
11
0
30 Apr 2022
Edge-PRUNE: Flexible Distributed Deep Learning Inference
Edge-PRUNE: Flexible Distributed Deep Learning Inference
Jani Boutellier
Bo Tan
J. Nurmi
200
5
0
27 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and
  Applications
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai
Ji Lin
Chengyue Wu
Zhijian Liu
Haotian Tang
Hanrui Wang
Ligeng Zhu
Song Han
254
133
0
25 Apr 2022
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