ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1302.4389
  4. Cited By
Maxout Networks

Maxout Networks

18 February 2013
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
    OOD
ArXivPDFHTML

Papers citing "Maxout Networks"

50 / 810 papers shown
Title
Syntactically Guided Neural Machine Translation
Syntactically Guided Neural Machine Translation
Felix Stahlberg
Eva Hasler
Aurelien Waite
Bill Byrne
27
65
0
15 May 2016
DisturbLabel: Regularizing CNN on the Loss Layer
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie
Jingdong Wang
Zhen Wei
Meng Wang
Qi Tian
41
250
0
30 Apr 2016
The IBM 2016 English Conversational Telephone Speech Recognition System
The IBM 2016 English Conversational Telephone Speech Recognition System
G. Saon
Tom Sercu
Steven J. Rennie
H. Kuo
27
107
0
27 Apr 2016
Empirical study of PROXTONE and PROXTONE$^+$ for Fast Learning of Large
  Scale Sparse Models
Empirical study of PROXTONE and PROXTONE+^++ for Fast Learning of Large Scale Sparse Models
Ziqiang Shi
Rujie Liu
31
0
0
18 Apr 2016
Structured Sparse Convolutional Autoencoder
Structured Sparse Convolutional Autoencoder
Ehsan Hosseini-Asl
20
0
0
17 Apr 2016
Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks
Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks
Youngbin Park
Sungphill Moon
I. Suh
3DH
14
11
0
15 Apr 2016
Latent Model Ensemble with Auto-localization
Latent Model Ensemble with Auto-localization
Miao Sun
T. Han
Xun Xu
Ming-Chang Liu
Ahmad Khodayari-Rostamabad
SSL
20
6
0
15 Apr 2016
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
50
120
0
14 Apr 2016
Norm-preserving Orthogonal Permutation Linear Unit Activation Functions
  (OPLU)
Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU)
Artem Chernodub
D. Nowicki
9
27
0
08 Apr 2016
Deep Online Convex Optimization with Gated Games
Deep Online Convex Optimization with Gated Games
David Balduzzi
20
8
0
07 Apr 2016
Multi-Bias Non-linear Activation in Deep Neural Networks
Multi-Bias Non-linear Activation in Deep Neural Networks
Hongyang Li
Wanli Ouyang
Xiaogang Wang
15
64
0
03 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
74
2,336
0
30 Mar 2016
Convolution in Convolution for Network in Network
Convolution in Convolution for Network in Network
Yanwei Pang
Manli Sun
Xiaoheng Jiang
Xuelong Li
34
167
0
22 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,351
0
21 Mar 2016
Data Augmentation via Levy Processes
Data Augmentation via Levy Processes
Stefan Wager
William Fithian
Percy Liang
14
5
0
21 Mar 2016
Comparing Time and Frequency Domain for Audio Event Recognition Using
  Deep Learning
Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning
L. Hertel
Huy P Phan
Alfred Mertins
10
62
0
18 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
24
499
0
16 Mar 2016
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation
  Functions
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions
Qiyang Zhao
Lewis D. Griffin
AAML
6
28
0
16 Mar 2016
Normalization Propagation: A Parametric Technique for Removing Internal
  Covariate Shift in Deep Networks
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit
Yingbo Zhou
Bhargava U. Kota
V. Govindaraju
27
126
0
04 Mar 2016
Shallow and Deep Convolutional Networks for Saliency Prediction
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan
Kevin McGuinness
E. Sayrol
Noel E. O'Connor
Xavier Giró-i-Nieto
FAtt
19
467
0
02 Mar 2016
Noisy Activation Functions
Noisy Activation Functions
Çağlar Gülçehre
Marcin Moczulski
Misha Denil
Yoshua Bengio
9
283
0
01 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
28
39
0
01 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
102
1,925
0
25 Feb 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
43
1,897
0
24 Feb 2016
Convolutional RNN: an Enhanced Model for Extracting Features from
  Sequential Data
Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data
Gil Keren
Björn Schuller
19
139
0
18 Feb 2016
Surprising properties of dropout in deep networks
Surprising properties of dropout in deep networks
D. Helmbold
Philip M. Long
18
3
0
14 Feb 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label
  Classification
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
André F. T. Martins
Ramón Fernández Astudillo
13
703
0
05 Feb 2016
Learning Discriminative Features via Label Consistent Neural Network
Learning Discriminative Features via Label Consistent Neural Network
Zhuolin Jiang
Yaming Wang
L. Davis
Walter Andrews
Viktor Rozgic
SSL
19
26
0
03 Feb 2016
DehazeNet: An End-to-End System for Single Image Haze Removal
DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai
Xiangmin Xu
Kui Jia
Chunmei Qing
Dacheng Tao
119
2,402
0
28 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Bitwise Neural Networks
Bitwise Neural Networks
Minje Kim
Paris Smaragdis
MQ
17
217
0
22 Jan 2016
Implicit Distortion and Fertility Models for Attention-based
  Encoder-Decoder NMT Model
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model
Shi Feng
Shujie Liu
Mu Li
M. Zhou
32
44
0
13 Jan 2016
Learning Hidden Unit Contributions for Unsupervised Acoustic Model
  Adaptation
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation
P. Swietojanski
Jinyu Li
Steve Renals
19
142
0
12 Jan 2016
Stochastic Neural Networks with Monotonic Activation Functions
Stochastic Neural Networks with Monotonic Activation Functions
Siamak Ravanbakhsh
Barnabás Póczós
J. Schneider
Dale Schuurmans
Russell Greiner
6
20
0
01 Jan 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
27
40
0
31 Dec 2015
Bridging the Gap between Stochastic Gradient MCMC and Stochastic
  Optimization
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization
Changyou Chen
David Carlson
Zhe Gan
Chunyuan Li
Lawrence Carin
14
89
0
25 Dec 2015
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural
  Networks
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Chunyuan Li
Changyou Chen
David Carlson
Lawrence Carin
ODL
BDL
27
320
0
23 Dec 2015
A Deep Generative Deconvolutional Image Model
A Deep Generative Deconvolutional Image Model
Yunchen Pu
Xin Yuan
Andrew Stevens
Chunyuan Li
Lawrence Carin
BDL
VLM
18
44
0
23 Dec 2015
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
37
5,146
0
22 Dec 2015
Deep Learning with S-shaped Rectified Linear Activation Units
Deep Learning with S-shaped Rectified Linear Activation Units
Xiaojie Jin
Chunyan Xu
Jiashi Feng
Yunchao Wei
Junjun Xiong
Shuicheng Yan
14
216
0
22 Dec 2015
Relay Backpropagation for Effective Learning of Deep Convolutional
  Neural Networks
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Li Shen
Zhouchen Lin
Qingming Huang
20
289
0
18 Dec 2015
Large Scale Business Discovery from Street Level Imagery
Large Scale Business Discovery from Street Level Imagery
Qian Yu
Christian Szegedy
Martin C. Stumpe
L. Yatziv
Vinay D. Shet
Julian Ibarz
Sacha Arnoud
ObjD
11
14
0
17 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
44
1,225
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
255
191,549
0
10 Dec 2015
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu
Xiaodong Gu
16
144
0
04 Dec 2015
Towards Dropout Training for Convolutional Neural Networks
Towards Dropout Training for Convolutional Neural Networks
Haibing Wu
Xiaodong Gu
35
299
0
01 Dec 2015
On Learning to Think: Algorithmic Information Theory for Novel
  Combinations of Reinforcement Learning Controllers and Recurrent Neural World
  Models
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
Jürgen Schmidhuber
32
101
0
30 Nov 2015
Natural Language Understanding with Distributed Representation
Natural Language Understanding with Distributed Representation
Kyunghyun Cho
GNN
BDL
21
55
0
24 Nov 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
126
5,489
0
23 Nov 2015
Training CNNs with Low-Rank Filters for Efficient Image Classification
Training CNNs with Low-Rank Filters for Efficient Image Classification
Yani Andrew Ioannou
D. Robertson
Jamie Shotton
R. Cipolla
A. Criminisi
13
152
0
20 Nov 2015
Previous
123...121314151617
Next