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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
Image Classification base on PCA of Multi-view Deep Representation
Image Classification base on PCA of Multi-view Deep Representation
Yaoqi Sun
Liang Li
Liang Zheng
Ji Hu
Yatong Jiang
C. Yan
20
35
0
12 Mar 2019
Machine Learning Solutions for High Energy Physics: Applications to
  Electromagnetic Shower Generation, Flavor Tagging, and the Search for
  di-Higgs Production
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production
Michela Paganini
19
1
0
12 Mar 2019
Learning to Generate Questions by Learning What not to Generate
Learning to Generate Questions by Learning What not to Generate
Bang Liu
Mingjun Zhao
Di Niu
Kunfeng Lai
Yancheng He
Haojie Wei
Yu-Syuan Xu
OOD
14
102
0
27 Feb 2019
A Distributionally Robust Optimization Method for Adversarial Multiple
  Kernel Learning
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning
M. B. Khuzani
Hongyi Ren
V. Vasudevan
Lei Xing
OOD
19
2
0
27 Feb 2019
A detailed comparative study of open source deep learning frameworks
A detailed comparative study of open source deep learning frameworks
Ghadeer Al-Bdour
Raffi Al-Qurran
M. Al-Ayyoub
A. Shatnawi
ELM
11
13
0
25 Feb 2019
A simple and efficient architecture for trainable activation functions
A simple and efficient architecture for trainable activation functions
Andrea Apicella
Francesco Isgrò
R. Prevete
6
36
0
08 Feb 2019
An Ensemble Dialogue System for Facts-Based Sentence Generation
An Ensemble Dialogue System for Facts-Based Sentence Generation
Ryota Tanaka
Akihide Ozeki
Shugo Kato
Akinobu Lee
11
4
0
05 Feb 2019
Understanding Impacts of High-Order Loss Approximations and Features in
  Deep Learning Interpretation
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
Sahil Singla
Eric Wallace
Shi Feng
S. Feizi
FAtt
18
59
0
01 Feb 2019
Multikernel activation functions: formulation and a case study
Multikernel activation functions: formulation and a case study
Simone Scardapane
Elena Nieddu
D. Firmani
P. Merialdo
30
6
0
29 Jan 2019
Activation Adaptation in Neural Networks
Activation Adaptation in Neural Networks
Farnoush Farhadi
V. Nia
Andrea Lodi
AI4CE
13
14
0
28 Jan 2019
Object Detection based on Region Decomposition and Assembly
Object Detection based on Region Decomposition and Assembly
Seung-Hwan Bae
ObjD
16
31
0
24 Jan 2019
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Joohyun Lee
J. Oh
Min Ju Kim
B. Hur
D. Sohn
22
15
0
22 Jan 2019
Optimization Problems for Machine Learning: A Survey
Optimization Problems for Machine Learning: A Survey
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
AI4CE
30
178
0
16 Jan 2019
Is it Time to Swish? Comparing Deep Learning Activation Functions Across
  NLP tasks
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Steffen Eger
Paul Youssef
Iryna Gurevych
LLMSV
17
76
0
09 Jan 2019
Adversarial CAPTCHAs
Adversarial CAPTCHAs
Chenghui Shi
Xiaogang Xu
S. Ji
Kai Bu
Jianhai Chen
R. Beyah
Ting Wang
AAML
14
52
0
04 Jan 2019
Morphological Network: How Far Can We Go with Morphological Neurons?
Morphological Network: How Far Can We Go with Morphological Neurons?
Ranjan Mondal
Sanchayan Santra
Soumendu Sundar Mukherjee
Bhabatosh Chanda
AI4CE
8
12
0
01 Jan 2019
Exploring spectro-temporal features in end-to-end convolutional neural
  networks
Exploring spectro-temporal features in end-to-end convolutional neural networks
Sean Robertson
Gerald Penn
Yingxue Wang
8
4
0
01 Jan 2019
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
Charbel Sakr
Naresh R Shanbhag
MQ
9
43
0
31 Dec 2018
Learning Student Networks via Feature Embedding
Learning Student Networks via Feature Embedding
Hanting Chen
Yunhe Wang
Chang Xu
Chao Xu
Dacheng Tao
19
94
0
17 Dec 2018
MEAL: Multi-Model Ensemble via Adversarial Learning
MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen
Zhankui He
Xiangyang Xue
AAML
FedML
22
146
0
06 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
8
24
0
03 Dec 2018
Virtual Class Enhanced Discriminative Embedding Learning
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen
Weihong Deng
Haifeng Shen
17
45
0
30 Nov 2018
On the Transferability of Representations in Neural Networks Between
  Datasets and Tasks
On the Transferability of Representations in Neural Networks Between Datasets and Tasks
Haytham M. Fayek
L. Cavedon
H. Wu
11
5
0
29 Nov 2018
Strong mixed-integer programming formulations for trained neural
  networks
Strong mixed-integer programming formulations for trained neural networks
Ross Anderson
Joey Huchette
Christian Tjandraatmadja
J. Vielma
8
251
0
20 Nov 2018
RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth
  Images
RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images
Shanxin Yuan
B. Stenger
Tae-Kyun Kim
3DH
MDE
20
22
0
18 Nov 2018
Assessing four Neural Networks on Handwritten Digit Recognition Dataset
  (MNIST)
Assessing four Neural Networks on Handwritten Digit Recognition Dataset (MNIST)
Feiyang Chen
Nan Chen
Hanyang Mao
Hanlin Hu
14
36
0
16 Nov 2018
Sorting out Lipschitz function approximation
Sorting out Lipschitz function approximation
Cem Anil
James Lucas
Roger C. Grosse
19
317
0
13 Nov 2018
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
11
1,268
0
08 Nov 2018
Nearly-tight bounds on linear regions of piecewise linear neural
  networks
Nearly-tight bounds on linear regions of piecewise linear neural networks
Qiang Hu
Huan Zhang
8
5
0
31 Oct 2018
Structure Learning of Deep Neural Networks with Q-Learning
Structure Learning of Deep Neural Networks with Q-Learning
G. Zhong
Wencong Jiao
Wei Gao
44
0
0
31 Oct 2018
DropBlock: A regularization method for convolutional networks
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
8
906
0
30 Oct 2018
Automatically Evolving CNN Architectures Based on Blocks
Automatically Evolving CNN Architectures Based on Blocks
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
11
27
0
28 Oct 2018
Structure Learning of Deep Networks via DNA Computing Algorithm
Structure Learning of Deep Networks via DNA Computing Algorithm
G. Zhong
Tao Li
Wenxue Liu
Yang Chen
18
4
0
25 Oct 2018
Hierarchical ResNeXt Models for Breast Cancer Histology Image
  Classification
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification
Ismaël Koné
L. Boulmane
11
35
0
21 Oct 2018
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in
  Higher Dimensions
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
Muhammad Kamran Janjua
Shah Nawaz
Alessandro Calefati
I. Gallo
16
0
0
16 Oct 2018
Convolutional Neural Networks In Convolution
Convolutional Neural Networks In Convolution
X. Huang
6
3
0
09 Oct 2018
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for
  DenseNets
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Mingjie Wang
Jun Zhou
Wendong Mao
Minglun Gong
14
9
0
02 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
30
49
0
02 Oct 2018
No Multiplication? No Floating Point? No Problem! Training Networks for
  Efficient Inference
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference
S. Baluja
David Marwood
Michele Covell
Nick Johnston
MQ
16
8
0
24 Sep 2018
CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis
CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis
Ankit Parag Shah
Jean-Baptiste Lamare
Tuan Nguyen-Anh
Alexander G. Hauptmann
15
101
0
16 Sep 2018
Chinese Poetry Generation with a Salient-Clue Mechanism
Chinese Poetry Generation with a Salient-Clue Mechanism
Xiaoyuan Yi
Ruoyu Li
Maosong Sun
18
12
0
12 Sep 2018
Transforming acoustic characteristics to deceive playback spoofing
  countermeasures of speaker verification systems
Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems
Fuming Fang
Junichi Yamagishi
Isao Echizen
Md. Sahidullah
Tomi Kinnunen
8
8
0
12 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
Iterative Recursive Attention Model for Interpretable Sequence
  Classification
Iterative Recursive Attention Model for Interpretable Sequence Classification
Martin Tutek
Jan Snajder
20
7
0
30 Aug 2018
IEA: Inner Ensemble Average within a convolutional neural network
IEA: Inner Ensemble Average within a convolutional neural network
Abduallah A. Mohamed
Xinrui Hua
Xianda Zhou
Christian G. Claudel
10
1
0
30 Aug 2018
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma
A. Sattar
Jun Zhou
Qingliang Chen
Kaile Su
16
6
0
29 Aug 2018
Replay spoofing detection system for automatic speaker verification
  using multi-task learning of noise classes
Replay spoofing detection system for automatic speaker verification using multi-task learning of noise classes
Hye-Jin Shim
Jee-weon Jung
Hee-Soo Heo
Sung-Hyun Yoon
Ha-Jin Yu
AAML
9
20
0
29 Aug 2018
An Improvement of Data Classification Using Random Multimodel Deep
  Learning (RMDL)
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
Mojtaba Heidarysafa
Kamran Kowsari
Donald E. Brown
K. Meimandi
Laura E. Barnes
21
36
0
23 Aug 2018
Class2Str: End to End Latent Hierarchy Learning
Class2Str: End to End Latent Hierarchy Learning
Soham Saha
G. Varma
C. V. Jawahar
14
5
0
20 Aug 2018
Automatically designing CNN architectures using genetic algorithm for
  image classification
Automatically designing CNN architectures using genetic algorithm for image classification
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
27
603
0
11 Aug 2018
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