Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 205,680,732 papers from all fields of science
Search
Sign In
Create Free Account
Convolutional neural network
Known as:
Max norm constraint
, Convolutional neural networks
, ConvNet
Expand
In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network in which the connectivity…
Expand
Wikipedia
Create Alert
Alert
Related topics
Related topics
50 relations
Activation function
AlphaGo
Apache Spark
Artificial neural network
Expand
Broader (1)
Computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
,
Menglong Zhu
,
+5 authors
Hartwig Adam
ArXiv
2017
Corpus ID: 12670695
We present a class of efficient models called MobileNets for mobile and embedded vision applications. MobileNets are based on a…
Expand
Highly Cited
2017
Highly Cited
2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
,
M. Welling
ICLR
2017
Corpus ID: 3144218
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of…
Expand
Highly Cited
2016
Highly Cited
2016
Image Style Transfer Using Convolutional Neural Networks
Leon A. Gatys
,
Alexander S. Ecker
,
M. Bethge
IEEE Conference on Computer Vision and Pattern…
2016
Corpus ID: 206593710
Rendering the semantic content of an image in different styles is a difficult image processing task. Arguably, a major limiting…
Expand
Highly Cited
2016
Highly Cited
2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
,
Jose Caballero
,
+5 authors
Zehan Wang
IEEE Conference on Computer Vision and Pattern…
2016
Corpus ID: 7037846
Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and…
Expand
Highly Cited
2016
Highly Cited
2016
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
,
Mohamed Ahmed
,
Konstantin Kutzkov
ICML
2016
Corpus ID: 1430801
Numerous important problems can be framed as learning from graph data. We propose a framework for learning convolutional neural…
Expand
Highly Cited
2015
Highly Cited
2015
MatConvNet: Convolutional Neural Networks for MATLAB
A. Vedaldi
,
Karel Lenc
ACM Multimedia
2015
Corpus ID: 207224096
MatConvNet is an open source implementation of Convolutional Neural Networks (CNNs) with a deep integration in the MATLAB…
Expand
Highly Cited
2014
Highly Cited
2014
Convolutional Neural Networks for Sentence Classification
Yoon Kim
EMNLP
2014
Corpus ID: 9672033
We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for…
Expand
Highly Cited
2014
Highly Cited
2014
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
,
Edward Grefenstette
,
P. Blunsom
ACL
2014
Corpus ID: 1306065
The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture…
Expand
Highly Cited
2014
Highly Cited
2014
Large-Scale Video Classification with Convolutional Neural Networks
A. Karpathy
,
G. Toderici
,
Sanketh Shetty
,
Thomas Leung
,
R. Sukthankar
,
Li Fei-Fei
IEEE Conference on Computer Vision and Pattern…
2014
Corpus ID: 206592218
Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems…
Expand
Highly Cited
2012
Highly Cited
2012
ImageNet classification with deep convolutional neural networks
A. Krizhevsky
,
Ilya Sutskever
,
Geoffrey E. Hinton
Commun. ACM
2012
Corpus ID: 195908774
We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
,
Terms of Service
, and
Dataset License
ACCEPT & CONTINUE