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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
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
37
27
0
20 Nov 2015
Variance Reduction in SGD by Distributed Importance Sampling
Variance Reduction in SGD by Distributed Importance Sampling
Guillaume Alain
Alex Lamb
Chinnadhurai Sankar
Aaron Courville
Yoshua Bengio
FedML
13
196
0
20 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
74
13,932
0
19 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
27
604
0
19 Nov 2015
A Unified Gradient Regularization Family for Adversarial Examples
A Unified Gradient Regularization Family for Adversarial Examples
Chunchuan Lyu
Kaizhu Huang
Hai-Ning Liang
AAML
6
207
0
19 Nov 2015
Manifold Regularized Deep Neural Networks using Adversarial Examples
Manifold Regularized Deep Neural Networks using Adversarial Examples
Taehoon Lee
Minsuk Choi
Sungroh Yoon
AAML
GAN
OOD
17
14
0
19 Nov 2015
Manifold Regularized Discriminative Neural Networks
Manifold Regularized Discriminative Neural Networks
Shuangfei Zhai
Zhongfei Zhang
AI4CE
9
2
0
19 Nov 2015
Reducing Overfitting in Deep Networks by Decorrelating Representations
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
26
411
0
19 Nov 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
9
460
0
19 Nov 2015
Net2Net: Accelerating Learning via Knowledge Transfer
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
11
663
0
18 Nov 2015
Competitive Multi-scale Convolution
Competitive Multi-scale Convolution
Zhibin Liao
G. Carneiro
20
44
0
18 Nov 2015
Predicting distributions with Linearizing Belief Networks
Predicting distributions with Linearizing Belief Networks
Yann N. Dauphin
David Grangier
26
18
0
17 Nov 2015
On the interplay of network structure and gradient convergence in deep
  learning
On the interplay of network structure and gradient convergence in deep learning
V. Ithapu
Sathya Ravi
Vikas Singh
16
3
0
17 Nov 2015
Jet-Images -- Deep Learning Edition
Jet-Images -- Deep Learning Edition
Luke de Oliveira
Michael Kagan
Lester W. Mackey
Benjamin Nachman
A. Schwartzman
PINN
10
310
0
16 Nov 2015
Deep Linear Discriminant Analysis
Deep Linear Discriminant Analysis
Matthias Dorfer
Rainer Kelz
Gerhard Widmer
9
133
0
15 Nov 2015
8-Bit Approximations for Parallelism in Deep Learning
8-Bit Approximations for Parallelism in Deep Learning
Tim Dettmers
13
176
0
14 Nov 2015
Learning Fine-grained Features via a CNN Tree for Large-scale
  Classification
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang
Xingxing Wang
G. Wang
25
49
0
14 Nov 2015
Efficient Training of Very Deep Neural Networks for Supervised Hashing
Efficient Training of Very Deep Neural Networks for Supervised Hashing
Ziming Zhang
Yuting Chen
Venkatesh Saligrama
23
7
0
14 Nov 2015
Learning to Assign Orientations to Feature Points
Learning to Assign Orientations to Feature Points
K. M. Yi
Yannick Verdié
Pascal Fua
Vincent Lepetit
14
124
0
13 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
11
31
0
11 Nov 2015
Hierarchical Recurrent Neural Encoder for Video Representation with
  Application to Captioning
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan
Zhongwen Xu
Yi Yang
Fei Wu
Yueting Zhuang
16
385
0
11 Nov 2015
A Light CNN for Deep Face Representation with Noisy Labels
A Light CNN for Deep Face Representation with Noisy Labels
Xiang Wu
Ran He
Zhenan Sun
Tieniu Tan
CVBM
27
1,064
0
09 Nov 2015
Batch-normalized Maxout Network in Network
Batch-normalized Maxout Network in Network
Jia-Ren Chang
Yonghao Chen
OOD
24
108
0
09 Nov 2015
How far can we go without convolution: Improving fully-connected
  networks
How far can we go without convolution: Improving fully-connected networks
Zhouhan Lin
Roland Memisevic
K. Konda
19
50
0
09 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
6
2,969
0
02 Nov 2015
A Survey: Time Travel in Deep Learning Space: An Introduction to Deep
  Learning Models and How Deep Learning Models Evolved from the Initial Ideas
A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas
Haohan Wang
Bhiksha Raj
AI4TS
23
34
0
16 Oct 2015
Generative Adversarial Networks in Estimation of Distribution Algorithms
  for Combinatorial Optimization
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization
Malte Probst
GAN
16
7
0
30 Sep 2015
Deep Haar Scattering Networks
Deep Haar Scattering Networks
Xiuyuan Cheng
Xu Chen
S. Mallat
16
30
0
30 Sep 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Z. Tu
AI4CE
13
483
0
30 Sep 2015
Deep Trans-layer Unsupervised Networks for Representation Learning
Deep Trans-layer Unsupervised Networks for Representation Learning
Wentao Zhu
Jun Miao
Laiyun Qing
Xilin Chen
SSL
19
2
0
27 Sep 2015
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
16
874
0
22 Sep 2015
Towards universal neural nets: Gibbs machines and ACE
Towards universal neural nets: Gibbs machines and ACE
Galin Georgiev
AI4CE
BDL
15
2
0
26 Aug 2015
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
23
873
0
14 Aug 2015
Evaluating software-based fingerprint liveness detection using
  Convolutional Networks and Local Binary Patterns
Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns
Rodrigo Nogueira
R. Lotufo
R. C. Machado
9
92
0
03 Aug 2015
On the Importance of Normalisation Layers in Deep Learning with
  Piecewise Linear Activation Units
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units
Zhibin Liao
G. Carneiro
14
62
0
03 Aug 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
21
1,669
0
22 Jul 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker
  Product
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
33
26
0
21 Jul 2015
Learning Robust Deep Face Representation
Learning Robust Deep Face Representation
Xiang Wu
CVBM
OOD
20
8
0
17 Jul 2015
Building End-To-End Dialogue Systems Using Generative Hierarchical
  Neural Network Models
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Iulian Serban
Alessandro Sordoni
Yoshua Bengio
Aaron Courville
Joelle Pineau
AILaw
16
1,747
0
17 Jul 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
12
1,364
0
09 Jul 2015
Feature Representation in Convolutional Neural Networks
Feature Representation in Convolutional Neural Networks
Ben Athiwaratkun
Keegan Kang
FAtt
SSL
18
75
0
08 Jul 2015
Grid Long Short-Term Memory
Grid Long Short-Term Memory
Nal Kalchbrenner
Ivo Danihelka
Alex Graves
AI4TS
21
362
0
06 Jul 2015
End-to-end Convolutional Network for Saliency Prediction
End-to-end Convolutional Network for Saliency Prediction
Junting Pan
Xavier Giró-i-Nieto
27
23
0
06 Jul 2015
Distributional Smoothing with Virtual Adversarial Training
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato
S. Maeda
Masanori Koyama
Ken Nakae
S. Ishii
24
458
0
02 Jul 2015
Energy-efficient neuromorphic classifiers
Energy-efficient neuromorphic classifiers
Daniel Martí
Mattia Rigotti
Mingoo Seok
Stefano Fusi
36
33
0
01 Jul 2015
Reading Scene Text in Deep Convolutional Sequences
Reading Scene Text in Deep Convolutional Sequences
Pan He
Weilin Huang
Yu Qiao
Chen Change Loy
Xiaoou Tang
21
307
0
14 Jun 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
18
327
0
11 Jun 2015
Random Maxout Features
Random Maxout Features
Youssef Mroueh
Steven J. Rennie
Vaibhava Goel
18
7
0
11 Jun 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
32
46
0
09 Jun 2015
Flowing ConvNets for Human Pose Estimation in Videos
Flowing ConvNets for Human Pose Estimation in Videos
Tomas Pfister
James Charles
Andrew Zisserman
3DH
24
557
0
09 Jun 2015
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