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This paper focuses on Winograd transformation in 3D convolutional neural networks (CNNs) that are more over-parameterized compared with the 2D version.
Arithmetic complexity of computations
Shmuel Winograd · 1980
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Optimal brain damage
Yann LeCun, John Denker, and Sara Solla · 1989
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Babak Hassibi, David G Stork, and Gregory J Wolff · 1993
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Ucf101: A dataset of 101 human actions classes from videos in the wild
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Large-scale video classification with convolutional neural networks
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Learning both weights and connections for efficient neural network
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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Fast algorithms for convolutional neural networks
Andrew Lavin and Scott Gray · 2016
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Fast convnets using group-wise brain damage
Vadim Lebedev and Victor Lempitsky · 2016
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Pruning of winograd and fft based convolution algorithm
Xingyu Liu and Yatish Turakhia · 2016
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Quo vadis, action recognition? a new model and the kinetics dataset
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Xin Dong, Shangyu Chen, and Sinno Pan · 2017
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Yihui He, Xiangyu Zhang, and Jian Sun · 2017
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Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf · 2017
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Sheng Li, Jongsoo Park, and Ping Tak Peter Tang · 2017
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Efficient dilated-winograd convolutional neural networks
Minsik Kim, Cheonjun Park, Sungjun Kim, Taeyoung Hong, and Won Woo Ro · 2019
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Efficient winograd convolution via integer arithmetic
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Importance estimation for neural network pruning
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Spatial-winograd pruning enabling sparse winograd convolution
Jiecao Yu, Jongsoo Park, and Maxim Naumov · 2019
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Three-dimensional convolutional neural network pruning with regularization-based method
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Intrinsic dimensionality explains the effectiveness of language model fine-tuning
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Frequency domain compact 3d convolutional neural networks
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Hrank: Filter pruning using high-rank feature map
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Parameter-efficient sparsity for large language models fine-tuning
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1xn pattern for pruning convolutional neural networks
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3d winograd layer with regular mask pruning
Ziran Qin, Huanyu He, and Weiyao Lin · 2022
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