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A Structural Approach to the Design of Domain Specific Neural Network
  Architectures

A Structural Approach to the Design of Domain Specific Neural Network Architectures

23 January 2023
Gerrit Nolte
ArXivPDFHTML

Papers citing "A Structural Approach to the Design of Domain Specific Neural Network Architectures"

11 / 11 papers shown
Title
CoAtNet: Marrying Convolution and Attention for All Data Sizes
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
ViT
109
1,204
0
09 Jun 2021
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
1.1K
5,515
0
20 Dec 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
192
1,634
0
04 Oct 2018
Lipschitz regularity of deep neural networks: analysis and efficient
  estimation
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman
Aladin Virmaux
80
529
0
28 May 2018
Pooling is neither necessary nor sufficient for appropriate deformation
  stability in CNNs
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs
Avraham Ruderman
Neil C. Rabinowitz
Ari S. Morcos
Daniel Zoran
83
41
0
12 Apr 2018
On Characterizing the Capacity of Neural Networks using Algebraic
  Topology
On Characterizing the Capacity of Neural Networks using Algebraic Topology
William H. Guss
Ruslan Salakhutdinov
70
89
0
13 Feb 2018
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
73
2,835
0
09 Aug 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
588
7,443
0
04 Apr 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
793
3,281
0
24 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
336
4,626
0
10 Nov 2016
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
392
33,521
0
16 Oct 2013
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