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Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary
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Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary

Sairaam Venkatraman
Ankit Anand
S. Balasubramanian
R. R. Sarma
ArXiv (abs)PDFHTML

Papers citing "Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary"

2 / 2 papers shown
Title
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
Alberto Marchisio
Vojtěch Mrázek
Andrea Massa
Beatrice Bussolino
Maurizio Martina
Mohamed Bennai
AAML
140
6
0
11 Oct 2022
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Ngan T. H. Le
3DPCMedIm
87
13
0
19 May 2022