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Maxout Networks

Maxout Networks

18 February 2013
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
    OOD
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Papers citing "Maxout Networks"

50 / 810 papers shown
Title
Do deep nets really need weight decay and dropout?
Do deep nets really need weight decay and dropout?
Alex Hernández-García
Peter König
14
27
0
20 Feb 2018
Understanding the Loss Surface of Neural Networks for Binary
  Classification
Understanding the Loss Surface of Neural Networks for Binary Classification
Shiyu Liang
Ruoyu Sun
Yixuan Li
R. Srikant
21
87
0
19 Feb 2018
Exact and Consistent Interpretation for Piecewise Linear Neural
  Networks: A Closed Form Solution
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
Lingyang Chu
X. Hu
Juhua Hu
Lanjun Wang
J. Pei
12
99
0
17 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for
  Incremental Learning
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
BDL
OOD
CLL
29
211
0
15 Feb 2018
Deep Predictive Coding Network for Object Recognition
Deep Predictive Coding Network for Object Recognition
Haiguang Wen
Kuan Han
Junxing Shi
Yizhen Zhang
Eugenio Culurciello
Zhongming Liu
10
83
0
13 Feb 2018
$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively
  Scale-Invariant Space
G\mathcal{G}G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
35
38
0
11 Feb 2018
Mixed Link Networks
Mixed Link Networks
Wenhai Wang
Xiang Li
Jian Yang
Tong Lu
17
53
0
06 Feb 2018
Handwritten Isolated Bangla Compound Character Recognition: a new
  benchmark using a novel deep learning approach
Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach
Saikat Roy
N. Das
M. Kundu
M. Nasipuri
28
128
0
02 Feb 2018
Training Neural Networks by Using Power Linear Units (PoLUs)
Training Neural Networks by Using Power Linear Units (PoLUs)
Yikang Li
Pak Lun Kevin Ding
Baoxin Li
22
7
0
01 Feb 2018
Learning Combinations of Activation Functions
Learning Combinations of Activation Functions
Franco Manessi
A. Rozza
AI4CE
26
54
0
29 Jan 2018
Non-Parametric Transformation Networks
Non-Parametric Transformation Networks
Dipan K. Pal
Marios Savvides
8
7
0
14 Jan 2018
Improved English to Russian Translation by Neural Suffix Prediction
Improved English to Russian Translation by Neural Suffix Prediction
Kai Song
Yue Zhang
Min Zhang
Weihua Luo
16
10
0
11 Jan 2018
Efficient Image Evidence Analysis of CNN Classification Results
Efficient Image Evidence Analysis of CNN Classification Results
Keyang Zhou
Bernhard Kainz
AAML
FAtt
18
4
0
05 Jan 2018
Improved Inception-Residual Convolutional Neural Network for Object
  Recognition
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
46
116
0
28 Dec 2017
Finding Competitive Network Architectures Within a Day Using UCT
Finding Competitive Network Architectures Within a Day Using UCT
Martin Wistuba
19
22
0
20 Dec 2017
Deep Learning for Distant Speech Recognition
Deep Learning for Distant Speech Recognition
Mirco Ravanelli
27
16
0
17 Dec 2017
Enhancing approximation abilities of neural networks by training
  derivatives
Enhancing approximation abilities of neural networks by training derivatives
V. Avrutskiy
16
16
0
12 Dec 2017
Deep convolutional neural networks for brain image analysis on magnetic
  resonance imaging: a review
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J. Bernal
Kaisar Kushibar
Daniel S. Asfaw
Sergi Valverde
A. Oliver
Robert Martí
Xavier Llado
22
349
0
11 Dec 2017
Stochastic Answer Networks for Machine Reading Comprehension
Stochastic Answer Networks for Machine Reading Comprehension
Xiaodong Liu
Yelong Shen
Kevin Duh
Jianfeng Gao
RALM
13
197
0
10 Dec 2017
CNNs are Globally Optimal Given Multi-Layer Support
CNNs are Globally Optimal Given Multi-Layer Support
Chen Huang
Chen Kong
Simon Lucey
ODL
36
0
0
07 Dec 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
36
625
0
26 Nov 2017
Efficient and Invariant Convolutional Neural Networks for Dense
  Prediction
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
Hongyang Gao
Shuiwang Ji
MDE
10
11
0
24 Nov 2017
Machine Learning Algorithms for $b$-Jet Tagging at the ATLAS Experiment
Machine Learning Algorithms for bbb-Jet Tagging at the ATLAS Experiment
Michela Paganini
24
7
0
23 Nov 2017
Regularization of Deep Neural Networks with Spectral Dropout
Regularization of Deep Neural Networks with Spectral Dropout
Salman Khan
Munawar Hayat
Fatih Porikli
23
102
0
23 Nov 2017
An Analysis of Scale Invariance in Object Detection - SNIP
An Analysis of Scale Invariance in Object Detection - SNIP
Bharat Singh
L. Davis
ObjD
44
736
0
22 Nov 2017
Dropping Activation Outputs with Localized First-layer Deep Network for
  Enhancing User Privacy and Data Security
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security
Hao Dong
Chao Wu
Zhen Wei
Yike Guo
38
30
0
20 Nov 2017
MegDet: A Large Mini-Batch Object Detector
MegDet: A Large Mini-Batch Object Detector
Chao Peng
Tete Xiao
Zeming Li
Yuning Jiang
Xiangyu Zhang
Kai Jia
Gang Yu
Jian Sun
ObjD
17
318
0
20 Nov 2017
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Kensuke Nakamura
Stefano Soatto
Byung-Woo Hong
BDL
ODL
43
6
0
20 Nov 2017
Deep supervised learning using local errors
Deep supervised learning using local errors
Hesham Mostafa
V. Ramesh
Gert Cauwenberghs
25
113
0
17 Nov 2017
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
CLL
OOD
38
69
0
16 Nov 2017
D-PCN: Parallel Convolutional Networks for Image Recognition via a
  Discriminator
D-PCN: Parallel Convolutional Networks for Image Recognition via a Discriminator
Shiqi Yang
G. Peng
16
2
0
12 Nov 2017
Compression-aware Training of Deep Networks
Compression-aware Training of Deep Networks
J. Álvarez
Mathieu Salzmann
21
172
0
07 Nov 2017
Single Image Super-Resolution Using Lightweight CNN with Maxout Units
Single Image Super-Resolution Using Lightweight CNN with Maxout Units
Jae-Seok Choi
Munchurl Kim
SupR
30
2
0
07 Nov 2017
Bounding and Counting Linear Regions of Deep Neural Networks
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra
Christian Tjandraatmadja
Srikumar Ramalingam
MLT
17
246
0
06 Nov 2017
Regularization for Deep Learning: A Taxonomy
Regularization for Deep Learning: A Taxonomy
J. Kukačka
Vladimir Golkov
Daniel Cremers
33
335
0
29 Oct 2017
Label Embedding Network: Learning Label Representation for Soft Training
  of Deep Networks
Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks
Xu Sun
Bingzhen Wei
Xuancheng Ren
Shuming Ma
19
40
0
28 Oct 2017
Knowledge Projection for Deep Neural Networks
Knowledge Projection for Deep Neural Networks
Zhi Zhang
G. Ning
Zhihai He
38
15
0
26 Oct 2017
Searching for Activation Functions
Searching for Activation Functions
Prajit Ramachandran
Barret Zoph
Quoc V. Le
27
599
0
16 Oct 2017
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej Mazurowski
44
2,317
0
15 Oct 2017
Projection Based Weight Normalization for Deep Neural Networks
Projection Based Weight Normalization for Deep Neural Networks
Lei Huang
Xianglong Liu
B. Lang
Bo-wen Li
28
18
0
06 Oct 2017
Energy-Based Spherical Sparse Coding
Energy-Based Spherical Sparse Coding
Bailey Kong
Charless C. Fowlkes
29
1
0
04 Oct 2017
Rethinking Feature Discrimination and Polymerization for Large-scale
  Recognition
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Yu Liu
Hongyang Li
Xiaogang Wang
CVBM
30
117
0
02 Oct 2017
Deep Competitive Pathway Networks
Deep Competitive Pathway Networks
Jia-Ren Chang
Yonghao Chen
9
0
0
29 Sep 2017
B-CNN: Branch Convolutional Neural Network for Hierarchical
  Classification
B-CNN: Branch Convolutional Neural Network for Hierarchical Classification
Xinqi Zhu
Michael Bain
19
151
0
28 Sep 2017
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural
  Network Architecture
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture
Soufian Jebbara
Philipp Cimiano
10
25
0
19 Sep 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural
  Networks
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
Qinliang Su
X. Liao
Lawrence Carin
11
16
0
18 Sep 2017
Classifying Unordered Feature Sets with Convolutional Deep Averaging
  Networks
Classifying Unordered Feature Sets with Convolutional Deep Averaging Networks
Andrew Gardner
Jinko Kanno
C. A. Duncan
R. Selmic
15
13
0
10 Sep 2017
FingerNet: An Unified Deep Network for Fingerprint Minutiae Extraction
FingerNet: An Unified Deep Network for Fingerprint Minutiae Extraction
Yao Tang
Fei Gao
Jufu Feng
Yuhang Liu
16
165
0
07 Sep 2017
Implicit Regularization in Deep Learning
Implicit Regularization in Deep Learning
Behnam Neyshabur
17
145
0
06 Sep 2017
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