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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
Adaptive Normalized Risk-Averting Training For Deep Neural Networks
Adaptive Normalized Risk-Averting Training For Deep Neural Networks
Zhiguang Wang
Tim Oates
J. Lo
28
6
0
08 Jun 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur
Ruslan Salakhutdinov
Nathan Srebro
ODL
21
305
0
08 Jun 2015
Classify Images with Conceptor Network
Yuhuang Hu
S. Advanced
C. K. Loo
19
5
0
02 Jun 2015
Blocks and Fuel: Frameworks for deep learning
Blocks and Fuel: Frameworks for deep learning
B. V. Merrienboer
Dzmitry Bahdanau
Vincent Dumoulin
Dmitriy Serdyuk
David Warde-Farley
J. Chorowski
Yoshua Bengio
MoE
20
188
0
01 Jun 2015
The IBM 2015 English Conversational Telephone Speech Recognition System
The IBM 2015 English Conversational Telephone Speech Recognition System
G. Saon
H. Kuo
Steven J. Rennie
M. Picheny
18
129
0
21 May 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
16
4,097
0
21 May 2015
Why Regularized Auto-Encoders learn Sparse Representation?
Why Regularized Auto-Encoders learn Sparse Representation?
Devansh Arpit
Yingbo Zhou
H. Ngo
V. Govindaraju
35
68
0
21 May 2015
Improved Microaneurysm Detection using Deep Neural Networks
Improved Microaneurysm Detection using Deep Neural Networks
Mrinal Haloi
MedIm
18
133
0
17 May 2015
Neural Network with Unbounded Activation Functions is Universal
  Approximator
Neural Network with Unbounded Activation Functions is Universal Approximator
Sho Sonoda
Noboru Murata
19
334
0
14 May 2015
Brain Tumor Segmentation with Deep Neural Networks
Brain Tumor Segmentation with Deep Neural Networks
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
3DV
22
2,862
0
13 May 2015
APAC: Augmented PAttern Classification with Neural Networks
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
32
137
0
13 May 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
39
3,192
0
05 May 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional
  Networks
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin
Kyle Kastner
Kyunghyun Cho
Matteo Matteucci
Aaron Courville
Yoshua Bengio
SSeg
16
271
0
03 May 2015
Max-margin Deep Generative Models
Max-margin Deep Generative Models
Chongxuan Li
Jun Zhu
Tianlin Shi
Bo Zhang
AI4CE
23
32
0
26 Apr 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
27
407
0
23 Apr 2015
Unsupervised Feature Learning from Temporal Data
Unsupervised Feature Learning from Temporal Data
Ross Goroshin
Joan Bruna
Jonathan Tompson
David Eigen
Yann LeCun
30
35
0
09 Apr 2015
A Probabilistic Theory of Deep Learning
A Probabilistic Theory of Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDL
OOD
UQCV
30
88
0
02 Apr 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
99
13,012
0
12 Mar 2015
On Using Monolingual Corpora in Neural Machine Translation
On Using Monolingual Corpora in Neural Machine Translation
Çağlar Gülçehre
Orhan Firat
Kelvin Xu
Kyunghyun Cho
Loïc Barrault
Huei-Chi Lin
Fethi Bougares
Holger Schwenk
Yoshua Bengio
33
560
0
11 Mar 2015
Deep Clustered Convolutional Kernels
Deep Clustered Convolutional Kernels
Minyoung Kim
Luca Rigazio
28
18
0
06 Mar 2015
Color Image Classification via Quaternion Principal Component Analysis
  Network
Color Image Classification via Quaternion Principal Component Analysis Network
Rui Zeng
Jiasong Wu
Zhuhong Shao
Yang Chen
L. Senhadji
H. Shu
16
71
0
05 Mar 2015
Rectified Factor Networks
Rectified Factor Networks
Djork-Arné Clevert
Andreas Mayr
Thomas Unterthiner
Sepp Hochreiter
20
16
0
23 Feb 2015
Spike Event Based Learning in Neural Networks
Spike Event Based Learning in Neural Networks
James A. Henderson
Tingting Gibson
Janet Wiles
19
13
0
20 Feb 2015
Scalable Bayesian Optimization Using Deep Neural Networks
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek
Oren Rippel
Kevin Swersky
Ryan Kiros
N. Satish
N. Sundaram
Md. Mostofa Ali Patwary
P. Prabhat
Ryan P. Adams
BDL
UQCV
38
1,032
0
19 Feb 2015
Invariant backpropagation: how to train a transformation-invariant
  neural network
Invariant backpropagation: how to train a transformation-invariant neural network
S. Demyanov
James Bailey
K. Ramamohanarao
C. Leckie
OOD
AAML
32
8
0
16 Feb 2015
An exploration of parameter redundancy in deep networks with circulant
  projections
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng
Felix X. Yu
Rogerio Feris
Sanjiv Kumar
A. Choudhary
Shih-Fu Chang
33
49
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,444
0
06 Feb 2015
Hyper-parameter optimization of Deep Convolutional Networks for object
  recognition
Hyper-parameter optimization of Deep Convolutional Networks for object recognition
S. Talathi
21
25
0
30 Jan 2015
Deep Autoencoders for Dimensionality Reduction of High-Content Screening
  Data
Deep Autoencoders for Dimensionality Reduction of High-Content Screening Data
L. Zamparo
Zhaolei Zhang
27
19
0
07 Jan 2015
ModDrop: adaptive multi-modal gesture recognition
ModDrop: adaptive multi-modal gesture recognition
Natalia Neverova
Christian Wolf
Graham W. Taylor
Florian Nebout
34
292
0
31 Dec 2014
Disjunctive Normal Networks
Disjunctive Normal Networks
Mehdi S. M. Sajjadi
Mojtaba Seyedhosseini
Tolga Tasdizen
27
5
0
30 Dec 2014
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient
Çağlar Gülçehre
Marcin Moczulski
Yoshua Bengio
ODL
23
20
0
23 Dec 2014
Unsupervised Feature Learning with C-SVDDNet
Unsupervised Feature Learning with C-SVDDNet
D. Wang
Xiaoyang Tan
3DPC
31
29
0
23 Dec 2014
Training deep neural networks with low precision multiplications
Training deep neural networks with low precision multiplications
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
22
50
0
22 Dec 2014
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
39
472
0
21 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
27
4,640
0
21 Dec 2014
Neural Network Regularization via Robust Weight Factorization
Neural Network Regularization via Robust Weight Factorization
Jan Rudy
Weiguang Ding
Daniel Jiwoong Im
Graham W. Taylor
OOD
38
6
0
20 Dec 2014
Deep metric learning using Triplet network
Deep metric learning using Triplet network
Elad Hoffer
Nir Ailon
SSL
DML
32
1,982
0
20 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks
Discovering Hidden Factors of Variation in Deep Networks
Brian Cheung
J. Livezey
Arjun K. Bansal
Bruno A. Olshausen
DRL
30
193
0
20 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
27
18,764
0
20 Dec 2014
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
58
3,841
0
19 Dec 2014
Qualitatively characterizing neural network optimization problems
Qualitatively characterizing neural network optimization problems
Ian Goodfellow
Oriol Vinyals
Andrew M. Saxe
ODL
29
517
0
19 Dec 2014
Unsupervised Learning of Spatiotemporally Coherent Metrics
Unsupervised Learning of Spatiotemporally Coherent Metrics
Ross Goroshin
Joan Bruna
Jonathan Tompson
David Eigen
Yann LeCun
DRL
27
156
0
18 Dec 2014
Flattened Convolutional Neural Networks for Feedforward Acceleration
Flattened Convolutional Neural Networks for Feedforward Acceleration
Jonghoon Jin
Aysegül Dündar
Eugenio Culurciello
17
245
0
17 Dec 2014
Object Recognition Using Deep Neural Networks: A Survey
Object Recognition Using Deep Neural Networks: A Survey
S. Goyal
Paul Benjamin
ObjD
28
32
0
10 Dec 2014
End-to-end Continuous Speech Recognition using Attention-based Recurrent
  NN: First Results
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
J. Chorowski
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
44
468
0
04 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context Database
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
29
518
0
01 Dec 2014
Untangling Local and Global Deformations in Deep Convolutional Networks
  for Image Classification and Sliding Window Detection
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
George Papandreou
Iasonas Kokkinos
Pierre-André Savalle
27
47
0
30 Nov 2014
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
Scale-Invariant Convolutional Neural Networks
Scale-Invariant Convolutional Neural Networks
Yichong Xu
Tianjun Xiao
Jiaxing Zhang
Kuiyuan Yang
Zheng-Wei Zhang
59
138
0
24 Nov 2014
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