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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
Efficient Convolutional Network Learning using Parametric Log based
  Dual-Tree Wavelet ScatterNet
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet
Amarjot Singh
N. Kingsbury
27
26
0
30 Aug 2017
Recent Advances in the Applications of Convolutional Neural Networks to
  Medical Image Contour Detection
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Zizhao Zhang
Fuyong Xing
H. Su
Xiaoshuang Shi
L. Yang
AAML
38
13
0
24 Aug 2017
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
44
2,389
0
22 Aug 2017
DesnowNet: Context-Aware Deep Network for Snow Removal
DesnowNet: Context-Aware Deep Network for Snow Removal
Yun-Fu Liu
Da-Wei Jaw
Shih-Chia Huang
Lei Li
17
317
0
15 Aug 2017
Learning with Rethinking: Recurrently Improving Convolutional Neural
  Networks through Feedback
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback
Xuzhao Li
Zequn Jie
Jiashi Feng
Changsong Liu
Shuicheng Yan
SSL
27
36
0
15 Aug 2017
A learning framework for winner-take-all networks with stochastic
  synapses
A learning framework for winner-take-all networks with stochastic synapses
Hesham Mostafa
Gert Cauwenberghs
BDL
8
14
0
14 Aug 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via
  Postponing the Early Softmax Saturation
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen
Weihong Deng
Junping Du
25
125
0
12 Aug 2017
Multi-Generator Generative Adversarial Nets
Multi-Generator Generative Adversarial Nets
Q. Hoang
T. Nguyen
Trung Le
Dinh Q. Phung
GAN
25
65
0
08 Aug 2017
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face
  Recognition
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
Ran He
Xiang Wu
Zhenan Sun
Tieniu Tan
CVBM
30
277
0
08 Aug 2017
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
Kihyuk Sohn
Sifei Liu
Guangyu Zhong
Xiang Yu
Ming-Hsuan Yang
Manmohan Chandraker
CVBM
17
116
0
07 Aug 2017
Variational Generative Stochastic Networks with Collaborative Shaping
Variational Generative Stochastic Networks with Collaborative Shaping
Philip Bachman
Doina Precup
BDL
GAN
13
13
0
02 Aug 2017
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural
  Network
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural Network
S. Hussain
Syed Muhammad Anwar
Muhammad Majid
18
207
0
01 Aug 2017
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
62
907
0
01 Aug 2017
An Effective Training Method For Deep Convolutional Neural Network
An Effective Training Method For Deep Convolutional Neural Network
Yangzhou Jiang
Zeyang Dou
Qun Hao
Jie Cao
Kun Gao
Xi Chen
32
0
0
31 Jul 2017
Analysis and Optimization of Convolutional Neural Network Architectures
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
27
72
0
31 Jul 2017
Improving Robustness of Feature Representations to Image Deformations
  using Powered Convolution in CNNs
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs
Zhun Sun
Mete Ozay
Takayuki Okatani
21
3
0
25 Jul 2017
Representation Learning on Large and Small Data
Representation Learning on Large and Small Data
Chun-Nan Chou
Chuen-Kai Shie
Fu-Chieh Chang
Jocelyn Chang
Edward Y. Chang
SSL
30
8
0
25 Jul 2017
Contrastive-center loss for deep neural networks
Contrastive-center loss for deep neural networks
Ce Qi
Zhicheng Zhao
SSL
18
71
0
24 Jul 2017
Neuron Pruning for Compressing Deep Networks using Maxout Architectures
Neuron Pruning for Compressing Deep Networks using Maxout Architectures
Fernando Moya Rueda
René Grzeszick
G. Fink
CVBM
22
17
0
21 Jul 2017
Efficient Architecture Search by Network Transformation
Efficient Architecture Search by Network Transformation
Han Cai
Tianyao Chen
Weinan Zhang
Yong Yu
Jun Wang
OOD
3DV
32
67
0
16 Jul 2017
Binarized Convolutional Neural Networks with Separable Filters for
  Efficient Hardware Acceleration
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration
Jeng-Hau Lin
Tianwei Xing
Ritchie Zhao
Zhiru Zhang
Mani B. Srivastava
Zhuowen Tu
Rajesh K. Gupta
MQ
15
24
0
15 Jul 2017
Kafnets: kernel-based non-parametric activation functions for neural
  networks
Kafnets: kernel-based non-parametric activation functions for neural networks
Simone Scardapane
S. Van Vaerenbergh
Simone Totaro
A. Uncini
22
12
0
13 Jul 2017
Appearance invariance in convolutional networks with neighborhood
  similarity
Appearance invariance in convolutional networks with neighborhood similarity
Tolga Tasdizen
Mehdi S. M. Sajjadi
Mehran Javanmardi
Nisha Ramesh
14
0
0
03 Jul 2017
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted
  Cloud
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
Zahra Ghodsi
Tianyu Gu
S. Garg
17
157
0
30 Jun 2017
Automated Audio Captioning with Recurrent Neural Networks
Automated Audio Captioning with Recurrent Neural Networks
K. Drossos
Sharath Adavanne
Tuomas Virtanen
22
128
0
30 Jun 2017
Learning Spatial-Aware Regressions for Visual Tracking
Learning Spatial-Aware Regressions for Visual Tracking
Chong Sun
Dong Wang
Huchuan Lu
Ming-Hsuan Yang
21
196
0
22 Jun 2017
A Fully Trainable Network with RNN-based Pooling
A Fully Trainable Network with RNN-based Pooling
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
18
19
0
16 Jun 2017
S-Net: From Answer Extraction to Answer Generation for Machine Reading
  Comprehension
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension
Chuanqi Tan
Furu Wei
Nan Yang
Bowen Du
Weifeng Lv
M. Zhou
RALM
28
92
0
15 Jun 2017
Stochastic Training of Neural Networks via Successive Convex
  Approximations
Stochastic Training of Neural Networks via Successive Convex Approximations
Simone Scardapane
P. Di Lorenzo
22
9
0
15 Jun 2017
SEP-Nets: Small and Effective Pattern Networks
SEP-Nets: Small and Effective Pattern Networks
Zhe Li
Xiaoyu Wang
Xutao Lv
Tianbao Yang
30
12
0
13 Jun 2017
Confident Multiple Choice Learning
Confident Multiple Choice Learning
Kimin Lee
Changho Hwang
KyoungSoo Park
Jinwoo Shin
23
47
0
12 Jun 2017
Stacked Convolutional and Recurrent Neural Networks for Music Emotion
  Recognition
Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition
Miroslav Malik
Sharath Adavanne
K. Drossos
Tuomas Virtanen
D. Ticha
R. Jarina
20
62
0
07 Jun 2017
Stacked Convolutional and Recurrent Neural Networks for Bird Audio
  Detection
Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection
Sharath Adavanne
K. Drossos
Emre Çakir
Tuomas Virtanen
15
60
0
07 Jun 2017
Deep Convolutional Decision Jungle for Image Classification
Deep Convolutional Decision Jungle for Image Classification
Seungryul Baek
K. Kim
Tae-Kyun Kim
23
17
0
06 Jun 2017
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation
  Systems
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
Ozan Caglayan
Mercedes García-Martínez
Adrien Bardet
Walid Aransa
Fethi Bougares
Loïc Barrault
29
65
0
01 Jun 2017
Learning Time/Memory-Efficient Deep Architectures with Budgeted Super
  Networks
Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks
Tom Véniat
Ludovic Denoyer
27
21
0
31 May 2017
Spectral Norm Regularization for Improving the Generalizability of Deep
  Learning
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Yuichi Yoshida
Takeru Miyato
35
325
0
31 May 2017
On Multilingual Training of Neural Dependency Parsers
On Multilingual Training of Neural Dependency Parsers
Michal Zapotoczny
Paweł Rychlikowski
J. Chorowski
16
3
0
29 May 2017
Deep Rotation Equivariant Network
Deep Rotation Equivariant Network
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
18
59
0
24 May 2017
Building effective deep neural network architectures one feature at a
  time
Building effective deep neural network architectures one feature at a time
Martin Mundt
Tobias Weis
K. Konda
Visvanathan Ramesh
24
1
0
18 May 2017
Geometry of Optimization and Implicit Regularization in Deep Learning
Geometry of Optimization and Implicit Regularization in Deep Learning
Behnam Neyshabur
Ryota Tomioka
Ruslan Salakhutdinov
Nathan Srebro
AI4CE
19
132
0
08 May 2017
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based
  Classification Using Recurrent Neural Networks
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks
Xiang Jiang
E. N. Souza
Ahmad Pesaranghader
Baifan Hu
D. Silver
Stan Matwin
14
48
0
07 May 2017
A Strategy for an Uncompromising Incremental Learner
A Strategy for an Uncompromising Incremental Learner
Ragav Venkatesan
Hemanth Venkateswara
S. Panchanathan
Baoxin Li
CLL
37
41
0
02 May 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
39
86
0
25 Apr 2017
Skeleton-based Action Recognition with Convolutional Neural Networks
Skeleton-based Action Recognition with Convolutional Neural Networks
Chong Li
Qiaoyong Zhong
Di Xie
Shiliang Pu
MedIm
ViT
21
365
0
25 Apr 2017
Selective Encoding for Abstractive Sentence Summarization
Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou
Nan Yang
Furu Wei
M. Zhou
CVBM
18
259
0
24 Apr 2017
NormFace: L2 Hypersphere Embedding for Face Verification
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang
Xiang Xiang
Jian Cheng
Alan Yuille
3DH
CVBM
24
739
0
21 Apr 2017
Unfolding and Shrinking Neural Machine Translation Ensembles
Unfolding and Shrinking Neural Machine Translation Ensembles
Felix Stahlberg
Bill Byrne
MoE
17
12
0
11 Apr 2017
Simplified Stochastic Feedforward Neural Networks
Simplified Stochastic Feedforward Neural Networks
Kimin Lee
Jaehyung Kim
S. Chong
Jinwoo Shin
21
3
0
11 Apr 2017
Neural Question Generation from Text: A Preliminary Study
Neural Question Generation from Text: A Preliminary Study
Qingyu Zhou
Nan Yang
Furu Wei
Chuanqi Tan
Hangbo Bao
M. Zhou
22
334
0
06 Apr 2017
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