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Densely Connected Convolutional Networks
v1v2v3v4v5 (latest)

Densely Connected Convolutional Networks

25 August 2016
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
    PINN3DV
ArXiv (abs)PDFHTMLGithub (4813★)

Papers citing "Densely Connected Convolutional Networks"

15 / 7,865 papers shown
Title
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya (Adi) Prakash
Sadid A. Hasan
Kathy Lee
Vivek Datla
Ashequl Qadir
Joey Liu
Oladimeji Farri
123
267
0
10 Oct 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
136
694
0
10 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
180
1,637
0
27 Sep 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
297
627
0
22 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
80
459
0
22 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
362
8,206
0
13 Aug 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes
X. Gonzalvo
Vitaly Kuznetsov
M. Mohri
Scott Yang
97
285
0
05 Jul 2016
Supervised learning based on temporal coding in spiking neural networks
Supervised learning based on temporal coding in spiking neural networks
Hesham Mostafa
115
358
0
27 Jun 2016
Improving Deep Neural Network with Multiple Parametric Exponential
  Linear Units
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units
Yang Li
Chunxiao Fan
Yong Li
Qiong Wu
Yue Ming
75
83
0
01 Jun 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
170
941
0
24 May 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
207
1,947
0
25 Feb 2016
Improved graph-based SFA: Information preservation complements the
  slowness principle
Improved graph-based SFA: Information preservation complements the slowness principle
Alberto N. Escalante
Laurenz Wiskott
81
16
0
15 Jan 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
263
5,263
0
22 Dec 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
240
2,543
0
03 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
524
43,392
0
11 Feb 2015
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