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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
A Genetic Programming Approach to Designing Convolutional Neural Network
  Architectures
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma
Shinichi Shirakawa
T. Nagao
30
587
0
03 Apr 2017
Truncating Wide Networks using Binary Tree Architectures
Truncating Wide Networks using Binary Tree Architectures
Yan Zhang
Mete Ozay
Shuohao Li
Takayuki Okatani
MQ
21
4
0
03 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
SORT: Second-Order Response Transform for Visual Recognition
SORT: Second-Order Response Transform for Visual Recognition
Yan Wang
Lingxi Xie
Chenxi Liu
Ya Zhang
Wenjun Zhang
Alan Yuille
25
53
0
20 Mar 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
46
758
0
15 Mar 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
53
836
0
04 Mar 2017
Deep Collaborative Learning for Visual Recognition
Deep Collaborative Learning for Visual Recognition
Yan Wang
Lingxi Xie
Ya Zhang
Wenjun Zhang
Alan Yuille
28
4
0
03 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
42
1,628
0
03 Mar 2017
A Robust Adaptive Stochastic Gradient Method for Deep Learning
A Robust Adaptive Stochastic Gradient Method for Deep Learning
Çağlar Gülçehre
Jose M. R. Sotelo
Marcin Moczulski
Yoshua Bengio
ODL
24
25
0
02 Mar 2017
On architectural choices in deep learning: From network structure to
  gradient convergence and parameter estimation
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
V. Ithapu
Sathya Ravi
Vikas Singh
AI4CE
32
9
0
28 Feb 2017
Activation Ensembles for Deep Neural Networks
Activation Ensembles for Deep Neural Networks
Mark Harmon
Diego Klabjan
31
35
0
24 Feb 2017
Convolutional Recurrent Neural Networks for Polyphonic Sound Event
  Detection
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Emre Çakir
Giambattista Parascandolo
Toni Heittola
H. Huttunen
Tuomas Virtanen
ObjD
9
542
0
21 Feb 2017
Gated Multimodal Units for Information Fusion
Gated Multimodal Units for Information Fusion
John Arevalo
Thamar Solorio
Manuel Montes-y-Gómez
Fabio Gonzalez
33
371
0
07 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
50
503
0
03 Feb 2017
Training Group Orthogonal Neural Networks with Privileged Information
Training Group Orthogonal Neural Networks with Privileged Information
Yunpeng Chen
Xiaojie Jin
Jiashi Feng
Shuicheng Yan
13
52
0
24 Jan 2017
The Incredible Shrinking Neural Network: New Perspectives on Learning
  Representations Through The Lens of Pruning
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning
Aditya Sharma
Nikolas Wolfe
Bhiksha Raj
18
18
0
16 Jan 2017
Towards End-to-End Speech Recognition with Deep Convolutional Neural
  Networks
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Wenjie Qu
Mohammad Pezeshki
Philemon Brakel
Saizheng Zhang
Yoshua Bengio
Aaron Courville
27
366
0
10 Jan 2017
QuickNet: Maximizing Efficiency and Efficacy in Deep Architectures
QuickNet: Maximizing Efficiency and Efficacy in Deep Architectures
Tapabrata Ghosh
19
6
0
09 Jan 2017
Neural Personalized Response Generation as Domain Adaptation
Neural Personalized Response Generation as Domain Adaptation
Weinan Zhang
Ting Liu
Yifa Wang
Qingfu Zhu
14
105
0
09 Jan 2017
Cutting-off Redundant Repeating Generations for Neural Abstractive
  Summarization
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
Jun Suzuki
Masaaki Nagata
35
76
0
31 Dec 2016
Automatic Discoveries of Physical and Semantic Concepts via Association
  Priors of Neuron Groups
Automatic Discoveries of Physical and Semantic Concepts via Association Priors of Neuron Groups
Shuai Li
Kui Jia
Xiaogang Wang
11
0
0
30 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
36
1,451
0
07 Dec 2016
A Multi-Pass Approach to Large-Scale Connectomics
A Multi-Pass Approach to Large-Scale Connectomics
Yaron Meirovitch
A. Matveev
Hayk Saribekyan
David Budden
David Rolnick
...
Seymour Knowles-Barley
T. Jones
Hanspeter Pfister
J. Lichtman
Nir Shavit
3DV
25
46
0
07 Dec 2016
A Probabilistic Framework for Deep Learning
A Probabilistic Framework for Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDL
34
67
0
06 Dec 2016
Whiteout: Gaussian Adaptive Noise Regularization in Deep Neural Networks
Whiteout: Gaussian Adaptive Noise Regularization in Deep Neural Networks
Yinan Li
Fang Liu
28
19
0
05 Dec 2016
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
Heriberto Cuayáhuitl
Seunghak Yu
Ashley Williamson
Jacob Carse
26
47
0
26 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
Infinite Variational Autoencoder for Semi-Supervised Learning
Infinite Variational Autoencoder for Semi-Supervised Learning
Ehsan Abbasnejad
A. Dick
Anton Van Den Hengel
BDL
DRL
27
79
0
23 Nov 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Chongxuan Li
Jun Zhu
Bo Zhang
AI4CE
32
42
0
22 Nov 2016
Temporal Generative Adversarial Nets with Singular Value Clipping
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito
Eiichi Matsumoto
Shunta Saito
GAN
40
445
0
21 Nov 2016
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
58
413
0
19 Nov 2016
End-to-End Subtitle Detection and Recognition for Videos in East Asian
  Languages via CNN Ensemble with Near-Human-Level Performance
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
Yan Xu
Siyuan Shan
Ziming Qiu
Zhipeng Jia
Zhengyang Shen
Yipei Wang
Mengfei Shi
E. Chang
13
24
0
18 Nov 2016
Improving training of deep neural networks via Singular Value Bounding
Improving training of deep neural networks via Singular Value Bounding
Kui Jia
AAML
33
90
0
18 Nov 2016
Building Deep Networks on Grassmann Manifolds
Building Deep Networks on Grassmann Manifolds
Zhiwu Huang
Jiqing Wu
Luc Van Gool
24
160
0
17 Nov 2016
DelugeNets: Deep Networks with Efficient and Flexible Cross-layer
  Information Inflows
DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
Jason Kuen
Xiangfei Kong
G. Wang
Yap-Peng Tan
14
14
0
17 Nov 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
S3Pool: Pooling with Stochastic Spatial Sampling
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai
Hui Wu
Abhishek Kumar
Yu Cheng
Y. Lu
Zhongfei Zhang
Rogerio Feris
18
77
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
Neural Taylor Approximations: Convergence and Exploration in Rectifier
  Networks
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
David Balduzzi
Brian McWilliams
T. Butler-Yeoman
27
28
0
07 Nov 2016
Hierarchical compositional feature learning
Hierarchical compositional feature learning
Miguel Lazaro-Gredilla
Yi Liu
D. Phoenix
Dileep George
BDL
OCL
29
12
0
07 Nov 2016
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
38
1,464
0
07 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
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari
A. Choromańska
Stefano Soatto
Yann LeCun
Carlo Baldassi
C. Borgs
J. Chayes
Levent Sagun
R. Zecchina
ODL
37
765
0
06 Nov 2016
Dynamic Coattention Networks For Question Answering
Dynamic Coattention Networks For Question Answering
Caiming Xiong
Victor Zhong
R. Socher
AIMat
40
684
0
05 Nov 2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
Caiming Xiong
Yoshimasa Tsuruoka
R. Socher
KELM
41
574
0
05 Nov 2016
Understanding Deep Neural Networks with Rectified Linear Units
Understanding Deep Neural Networks with Rectified Linear Units
R. Arora
A. Basu
Poorya Mianjy
Anirbit Mukherjee
PINN
41
637
0
04 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI
  Implementation of Deep Neural Networks
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
A. Ardakani
C. Condo
W. Gross
33
40
0
04 Nov 2016
Tensor Switching Networks
Tensor Switching Networks
Chuan-Yung Tsai
Andrew M. Saxe
David D. Cox
13
10
0
31 Oct 2016
Doubly Convolutional Neural Networks
Doubly Convolutional Neural Networks
Shuangfei Zhai
Yu Cheng
Weining Lu
Zhongfei Zhang
OOD
3DV
22
63
0
30 Oct 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau
V. Balasubramanian
23
181
0
30 Oct 2016
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