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Fractional Max-Pooling

Fractional Max-Pooling

18 December 2014
Benjamin Graham
    TPM
ArXivPDFHTML

Papers citing "Fractional Max-Pooling"

32 / 82 papers shown
Title
AirScript - Creating Documents in Air
AirScript - Creating Documents in Air
Ayushman Dash
Amit Sahu
Rajveer Shringi
J. Gamboa
Muhammad Zeshan Afzal
M. I. Malik
Sheraz Ahmed
Andreas Dengel
VGen
23
19
0
30 May 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
21
1,222
0
10 Apr 2017
Active Convolution: Learning the Shape of Convolution for Image
  Classification
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
29
171
0
27 Mar 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
37
129
0
01 Dec 2016
On the Exploration of Convolutional Fusion Networks for Visual
  Recognition
On the Exploration of Convolutional Fusion Networks for Visual Recognition
Y. Liu
Yanming Guo
M. Lew
33
23
0
16 Nov 2016
CIFAR-10: KNN-based Ensemble of Classifiers
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga
Ola S. Ali
Hager Rady
Mohamed Moustafa
FedML
26
65
0
15 Nov 2016
Regularizing CNNs with Locally Constrained Decorrelations
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez López
Jordi Gonzalez
Guillem Cucurull
J. M. Gonfaus
F. X. Roca
37
133
0
07 Nov 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
26
689
0
10 Oct 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
90
2,527
0
07 Oct 2016
Fitted Learning: Models with Awareness of their Limits
Fitted Learning: Models with Awareness of their Limits
Navid Kardan
Kenneth O. Stanley
CLL
32
16
0
07 Sep 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
23
119
0
22 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
86
8,465
0
16 Aug 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
39
6,006
0
01 Jul 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN
  Acceleration
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
23
196
0
17 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
31
23
0
16 Jun 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
45
933
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
98
7,920
0
23 May 2016
DisturbLabel: Regularizing CNN on the Loss Layer
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie
Jingdong Wang
Zhen Wei
Meng Wang
Qi Tian
41
250
0
30 Apr 2016
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
50
120
0
14 Apr 2016
A MultiPath Network for Object Detection
A MultiPath Network for Object Detection
Sergey Zagoruyko
Adam Lerer
Nayeon Lee
Pedro H. O. Pinheiro
Sam Gross
Soumith Chintala
Piotr Dollár
ObjD
30
214
0
07 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
74
2,338
0
30 Mar 2016
Convolution in Convolution for Network in Network
Convolution in Convolution for Network in Network
Yanwei Pang
Manli Sun
Xiaoheng Jiang
Xuelong Li
34
167
0
22 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
117
10,127
0
16 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
62
17,088
0
17 Feb 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
126
5,494
0
23 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
32
605
0
19 Nov 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
35
46
0
09 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jun Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffM
BDL
24
258
0
08 Jun 2015
Sparse 3D convolutional neural networks
Sparse 3D convolutional neural networks
Ben Graham
3DPC
3DV
23
199
0
12 May 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
32
137
0
30 Apr 2015
Rectified Factor Networks
Rectified Factor Networks
Djork-Arné Clevert
Andreas Mayr
Thomas Unterthiner
Sepp Hochreiter
28
16
0
23 Feb 2015
Efficient batchwise dropout training using submatrices
Efficient batchwise dropout training using submatrices
Ben Graham
Jeremy Reizenstein
Leigh Robinson
37
14
0
09 Feb 2015
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