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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
Neural Network Encapsulation
Neural Network Encapsulation
Hongyang Li
Xiaoyang Guo
Bo Dai
Wanli Ouyang
Xiaogang Wang
21
51
0
11 Aug 2018
EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical
  Report)
EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report)
Yujie Ji
Xinyang Zhang
Ting Wang
AAML
17
2
0
01 Aug 2018
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks
Shuhang Gu
Radu Timofte
Luc Van Gool
AI4CE
SupR
23
6
0
30 Jul 2018
Robust Student Network Learning
Robust Student Network Learning
Tianyu Guo
Chang Xu
Shiyi He
Boxin Shi
Chao Xu
Dacheng Tao
OOD
34
30
0
30 Jul 2018
Unbounded Output Networks for Classification
Unbounded Output Networks for Classification
Stefan Elfwing
E. Uchibe
Kenji Doya
14
0
0
25 Jul 2018
Recent Advances in Deep Learning: An Overview
Recent Advances in Deep Learning: An Overview
Matiur Rahman Minar
Jibon Naher
VLM
24
116
0
21 Jul 2018
Competition vs. Concatenation in Skip Connections of Fully Convolutional
  Networks
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks
Santiago Estrada
Sailesh Conjeti
M. A. Dedmari
Nassir Navab
M. Reuter
8
14
0
20 Jul 2018
Neural Networks Regularization Through Representation Learning
Neural Networks Regularization Through Representation Learning
Soufiane Belharbi
OOD
SSL
30
2
0
13 Jul 2018
Recurrent Neural Networks with Flexible Gates using Kernel Activation
  Functions
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Danilo Comminiello
Simone Totaro
A. Uncini
11
4
0
11 Jul 2018
Sequential Copying Networks
Sequential Copying Networks
Qingyu Zhou
Nan Yang
Furu Wei
M. Zhou
25
48
0
06 Jul 2018
Parallel Convolutional Networks for Image Recognition via a
  Discriminator
Parallel Convolutional Networks for Image Recognition via a Discriminator
Shiqi Yang
G. Peng
18
3
0
06 Jul 2018
Neural Language Codes for Multilingual Acoustic Models
Neural Language Codes for Multilingual Acoustic Models
Markus Müller
Sebastian Stüker
A. Waibel
6
9
0
05 Jul 2018
Autonomous Deep Learning: A Genetic DCNN Designer for Image
  Classification
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
Benteng Ma
Yong-quan Xia
17
99
0
01 Jul 2018
Adaptive Blending Units: Trainable Activation Functions for Deep Neural
  Networks
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
L. R. Sütfeld
Flemming Brieger
Holger Finger
S. Füllhase
G. Pipa
28
28
0
26 Jun 2018
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU
  Activation in Deep Learning
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning
Zhi Chen
P. Ho
14
3
0
19 Jun 2018
How Could Polyhedral Theory Harness Deep Learning?
How Could Polyhedral Theory Harness Deep Learning?
Thiago Serra
Christian Tjandraatmadja
Srikumar Ramalingam
AI4CE
11
0
0
17 Jun 2018
Data augmentation instead of explicit regularization
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
30
141
0
11 Jun 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
32
154
0
06 Jun 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network
  Structure Searching from Scratch
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch
Jian Ren
Zhe Li
Jianchao Yang
N. Xu
Tianbao Yang
D. Foran
35
17
0
05 Jun 2018
Perturbative Neural Networks
Perturbative Neural Networks
Felix Juefei Xu
Vishnu Naresh Boddeti
Marios Savvides
18
37
0
05 Jun 2018
An Aggressive Genetic Programming Approach for Searching Neural Network
  Structure Under Computational Constraints
An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints
Zhe Li
Xuehan Xiong
Zhou Ren
Ning Zhang
Xiaoyu Wang
Tianbao Yang
18
3
0
03 Jun 2018
Accurate and Efficient Similarity Search for Large Scale Face
  Recognition
Accurate and Efficient Similarity Search for Large Scale Face Recognition
Ce Qi
Zhizhong Liu
Zhicheng Zhao
CVBM
22
0
0
01 Jun 2018
Deformable Part Networks
Deformable Part Networks
Ziming Zhang
Rongmei Lin
Alan Sullivan
3DPC
6
1
0
22 May 2018
A Tropical Approach to Neural Networks with Piecewise Linear Activations
A Tropical Approach to Neural Networks with Piecewise Linear Activations
Vasileios Charisopoulos
Petros Maragos
12
40
0
22 May 2018
Adding One Neuron Can Eliminate All Bad Local Minima
Adding One Neuron Can Eliminate All Bad Local Minima
Shiyu Liang
Ruoyu Sun
J. Lee
R. Srikant
37
89
0
22 May 2018
Nonparametric Bayesian Deep Networks with Local Competition
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDL
27
32
0
19 May 2018
Recurrent knowledge distillation
Recurrent knowledge distillation
S. Pintea
Yue Liu
Jan van Gemert
ODL
11
2
0
18 May 2018
Mad Max: Affine Spline Insights into Deep Learning
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero
Richard Baraniuk
AI4CE
31
78
0
17 May 2018
Ensemble Soft-Margin Softmax Loss for Image Classification
Ensemble Soft-Margin Softmax Loss for Image Classification
Xiaobo Wang
Shifeng Zhang
Zhen Lei
Si Liu
Xiaojie Guo
Stan Z. Li
25
38
0
10 May 2018
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft
  Mask
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Xi Zhang
Di Ma
Xu Ouyang
Shanshan Jiang
Lin Gan
G. Agam
3DPC
16
4
0
09 May 2018
Robust Classification with Convolutional Prototype Learning
Robust Classification with Convolutional Prototype Learning
Hong-Ming Yang
Xu-Yao Zhang
Fei Yin
Cheng-Lin Liu
14
333
0
09 May 2018
RMDL: Random Multimodel Deep Learning for Classification
RMDL: Random Multimodel Deep Learning for Classification
Kamran Kowsari
Mojtaba Heidarysafa
Donald E. Brown
K. Meimandi
Laura E. Barnes
VLM
OOD
27
157
0
03 May 2018
Internal node bagging
Internal node bagging
Shun Yi
BDL
11
0
0
01 May 2018
Stochastic Answer Networks for Natural Language Inference
Stochastic Answer Networks for Natural Language Inference
Xiaodong Liu
Kevin Duh
Jianfeng Gao
BDL
18
45
0
21 Apr 2018
Automatic Stance Detection Using End-to-End Memory Networks
Automatic Stance Detection Using End-to-End Memory Networks
Mitra Mohtarami
R. Baly
James R. Glass
Preslav Nakov
Lluís Màrquez i Villodre
Alessandro Moschitti
19
122
0
20 Apr 2018
Reconstruction of Simulation-Based Physical Field by Reconstruction
  Neural Network Method
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method
Yu Li
Hu Wang
Kangjia Mo
Tao Zeng
3DV
AI4CE
30
7
0
19 Apr 2018
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style
  Transfer
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
Juncen Li
Robin Jia
He He
Percy Liang
39
548
0
17 Apr 2018
PCN: Part and Context Information for Pedestrian Detection with CNNs
PCN: Part and Context Information for Pedestrian Detection with CNNs
Shiguang Wang
Jian Cheng
Haijun Liu
Ming Tang
19
66
0
12 Apr 2018
Detail-Preserving Pooling in Deep Networks
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
58
90
0
11 Apr 2018
Adversarial Training Versus Weight Decay
Adversarial Training Versus Weight Decay
A. Galloway
T. Tanay
Graham W. Taylor
AAML
27
23
0
10 Apr 2018
What Do We Understand About Convolutional Networks?
What Do We Understand About Convolutional Networks?
Isma Hadji
Richard P. Wildes
FAtt
16
98
0
23 Mar 2018
Lifting Layers: Analysis and Applications
Lifting Layers: Analysis and Applications
Peter Ochs
Tim Meinhardt
Laura Leal-Taixe
Michael Möller
22
7
0
23 Mar 2018
Reservoir computing approaches for representation and classification of
  multivariate time series
Reservoir computing approaches for representation and classification of multivariate time series
F. Bianchi
Simone Scardapane
Sigurd Løkse
Robert Jenssen
AI4TS
22
140
0
21 Mar 2018
PyramidBox: A Context-assisted Single Shot Face Detector
PyramidBox: A Context-assisted Single Shot Face Detector
Xu Tang
Daniel K. Du
Zeqiang He
Jingtuo Liu
CVBM
27
368
0
21 Mar 2018
Exponential Discriminative Metric Embedding in Deep Learning
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu
Zhangling Chen
Jun Wang
Hua-Ming Wu
35
10
0
07 Mar 2018
Memory-based Parameter Adaptation
Memory-based Parameter Adaptation
Pablo Sprechmann
Siddhant M. Jayakumar
Jack W. Rae
Alexander Pritzel
Adria Puigdomenech Badia
Benigno Uria
Oriol Vinyals
Demis Hassabis
Razvan Pascanu
Charles Blundell
ODL
OOD
VLM
8
101
0
28 Feb 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
24
12
0
28 Feb 2018
Improving Graph Convolutional Networks with Non-Parametric Activation
  Functions
Improving Graph Convolutional Networks with Non-Parametric Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Danilo Comminiello
A. Uncini
GNN
20
7
0
26 Feb 2018
A representer theorem for deep neural networks
A representer theorem for deep neural networks
M. Unser
32
98
0
26 Feb 2018
Complex-valued Neural Networks with Non-parametric Activation Functions
Complex-valued Neural Networks with Non-parametric Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Amir Hussain
A. Uncini
23
81
0
22 Feb 2018
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