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1405.3866
Cited By
Speeding up Convolutional Neural Networks with Low Rank Expansions
British Machine Vision Conference (BMVC), 2014
15 May 2014
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
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ArXiv (abs)
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Papers citing
"Speeding up Convolutional Neural Networks with Low Rank Expansions"
50 / 667 papers shown
Basis Scaling and Double Pruning for Efficient Inference in Network-Based Transfer Learning
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Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints
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Model Preserving Compression for Neural Networks
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Megan Flynn
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Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
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Jungong Han
Yuchen Guo
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Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
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Yang Sui
Siyu Liao
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26 Jul 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Neural Information Processing Systems (NeurIPS), 2021
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Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mingbao Lin
Bohong Chen
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210
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14 Jul 2021
Trustworthy AI: A Computational Perspective
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Yiqi Wang
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Yaxin Li
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Anil K. Jain
Shucheng Zhou
FaML
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12 Jul 2021
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
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Jihao Zhou
Weize Sun
Lei Huang
234
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Tensor Methods in Computer Vision and Deep Learning
Proceedings of the IEEE (Proc. IEEE), 2021
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Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
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Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity
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05 Jul 2021
Dep-
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L_0
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: Improving
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Shihao Ji
105
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30 Jun 2021
Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Ziwei Wang
Martin A. Trefzer
S. Bale
Andy M. Tyrrell
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28 Jun 2021
Learning Gradual Argumentation Frameworks using Genetic Algorithms
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Knowledge Distillation via Instance-level Sequence Learning
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Junyu Dong
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128
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21 Jun 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Neural Information Processing Systems (NeurIPS), 2021
Shiwei Liu
Tianlong Chen
Xiaohan Chen
Zahra Atashgahi
Lu Yin
Huanyu Kou
Li Shen
Mykola Pechenizkiy
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Decebal Constantin Mocanu
331
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19 Jun 2021
Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration
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Xiufang Li
Fanhua Shang
Hongying Liu
Kan Yang
L. Jiao
Zhouchen Lin
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174
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18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
International Conference on Learning Representations (ICLR), 2021
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
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Adaptive Low-Rank Regularization with Damping Sequences to Restrict Lazy Weights in Deep Networks
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M. Ghatee
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Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
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Longqing Ye
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114
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12 Jun 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
International Conference on Machine Learning (ICML), 2021
Zehao Wang
149
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07 Jun 2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
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Yue Wu
Yuan Lan
Luchan Zhang
Yang Xiang
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05 Jun 2021
Efficient Classification of Very Large Images with Tiny Objects
Computer Vision and Pattern Recognition (CVPR), 2021
Fanjie Kong
Ricardo Henao
270
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04 Jun 2021
Accelerating Neural ODEs Using Model Order Reduction
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
M. Lehtimäki
L. Paunonen
M. Linne
192
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28 May 2021
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
International Conference on Information Photonics (ICIP), 2021
M. Tayyab
Fahad A Khan
Abhijit Mahalanobis
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21 May 2021
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
International Conference on Pattern Recognition (ICPR), 2021
Jie Ran
R. Lin
Hayden Kwok-Hay So
G. Chesi
Ngai Wong
106
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10 May 2021
ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
IEEE Access (IEEE Access), 2021
M. Wess
Matvey Ivanov
A. Nookala
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A. Jantsch
119
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Skip-Convolutions for Efficient Video Processing
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Davide Abati
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Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder
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Subham Nagar
Ahlad Kumar
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Content-Aware GAN Compression
Computer Vision and Pattern Recognition (CVPR), 2021
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Zhixin Shu
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Knowledge Distillation By Sparse Representation Matching
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Moncef Gabbouj
Alexandros Iosifidis
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Compacting Deep Neural Networks for Internet of Things: Methods and Applications
IEEE Internet of Things Journal (IEEE IoT Journal), 2021
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
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281
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20 Mar 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Seul-Ki Yeom
Kyung-Hwan Shim
Jee-Hyun Hwang
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225
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19 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual Recognition
Computer Vision and Pattern Recognition (CVPR), 2021
Duo Li
Jie Hu
Changhu Wang
Xiangtai Li
Qi She
Lei Zhu
Tong Zhang
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10 Mar 2021
Pufferfish: Communication-efficient Models At No Extra Cost
Conference on Machine Learning and Systems (MLSys), 2021
Hongyi Wang
Saurabh Agarwal
Dimitris Papailiopoulos
142
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05 Mar 2021
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
International Conference on Learning Representations (ICLR), 2021
Huanrui Yang
Lin Duan
Yiran Chen
Hai Helen Li
MQ
204
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20 Feb 2021
Concealed Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Deng-Ping Fan
Ge-Peng Ji
Ming-Ming Cheng
Ling Shao
208
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20 Feb 2021
Hard-Attention for Scalable Image Classification
Neural Information Processing Systems (NeurIPS), 2021
Athanasios Papadopoulos
Pawel Korus
N. Memon
278
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20 Feb 2021
Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed AutoEncoder
Signal Processing (Signal Process.), 2021
Subham Nagar
Ahlad Kumar
M. Swamy
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16 Feb 2021
SiMaN: Sign-to-Magnitude Network Binarization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
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Rongrong Ji
Zi-Han Xu
Baochang Zhang
Jiayi Ji
Chia-Wen Lin
Ling Shao
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282
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16 Feb 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
Neural Information Processing Systems (NeurIPS), 2021
Thiago Serra
Xin Yu
Abhinav Kumar
Srikumar Ramalingam
317
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Dynamic Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
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425
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Deep Model Compression based on the Training History
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M. Farazuddin
Viswanath Pulabaigari
S. Dubey
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Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
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Le Thanh Nguyen-Meidine
Atif Belal
M. Kiran
Jose Dolz
Louis-Antoine Blais-Morin
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190
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18 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Alexander Ke
William Ellsworth
Oishi Banerjee
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Network Automatic Pruning: Start NAP and Take a Nap
Wenyuan Zeng
Yuwen Xiong
R. Urtasun
86
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Convolutional Neural Network Simplification with Progressive Retraining
Pattern Recognition Letters (PR), 2021
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J. Gomes
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106
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Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2021
A. Sankaran
Olivier Mastropietro
Ehsan Saboori
Yasser Idris
Davis Sawyer
Mohammadhossein Askarihemmat
G. B. Hacene
234
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Neural Pruning via Growing Regularization
International Conference on Learning Representations (ICLR), 2020
Huan Wang
Can Qin
Yulun Zhang
Y. Fu
271
182
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16 Dec 2020
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
Cody Blakeney
Xiaomin Li
Yan Yan
Ziliang Zong
254
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05 Dec 2020
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