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Papers
2006.05939
Cited By

Is the Skip Connection Provable to Reform the Neural Network Loss
Landscape?

Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?

International Joint Conference on Artificial Intelligence (IJCAI), 2020

10 June 2020

ArXiv (abs)PDF HTML

Papers citing "Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?"

6 / 6 papers shown

Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN)

Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN)

Ramanakumar Sankar

216

2

0

23 Nov 2023

CNN Filter DB: An Empirical Investigation of Trained Convolutional
Filters

CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersComputer Vision and Pattern Recognition (CVPR), 2022

322

37

0

29 Mar 2022

TUNet: A Block-online Bandwidth Extension Model based on Transformers
and Self-supervised Pretraining

TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining

Viet-Anh Nguyen

Anh H. T. Nguyen

Andy W. H. Khong

254

30

0

26 Oct 2021

On the Provable Generalization of Recurrent Neural Networks

On the Provable Generalization of Recurrent Neural Networks

445

9

0

29 Sep 2021

Overcomplete Deep Subspace Clustering Networks

Overcomplete Deep Subspace Clustering NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020

Jeya Maria Jose Valanarasu

Vishal M. Patel

364

23

0

16 Nov 2020

A Survey on Concept Factorization: From Shallow to Deep Representation
Learning

A Survey on Concept Factorization: From Shallow to Deep Representation LearningInformation Processing & Management (IPM), 2020

Li Zhang

Yi Yang

387

36

0

31 Jul 2020

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