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. 1706.05157
  4. Cited By
A Fully Trainable Network with RNN-based Pooling

A Fully Trainable Network with RNN-based Pooling

16 June 2017
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
ArXiv (abs)PDFHTML

Papers citing "A Fully Trainable Network with RNN-based Pooling"

28 / 28 papers shown
Title
Independently Recurrent Neural Network (IndRNN): Building A Longer and
  Deeper RNN
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
89
731
0
13 Mar 2018
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
174
3,290
0
08 May 2017
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
206
2,340
0
09 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,427
0
02 Dec 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
307
5,536
0
23 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
98
612
0
19 Nov 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
75
484
0
30 Sep 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
163
1,687
0
22 Jul 2015
An End-to-End Trainable Neural Network for Image-based Sequence
  Recognition and Its Application to Scene Text Recognition
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
Baoguang Shi
X. Bai
Cong Yao
VLM
215
2,490
0
21 Jul 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
60
328
0
11 Jun 2015
Generative Image Modeling Using Spatial LSTMs
Generative Image Modeling Using Spatial LSTMs
Lucas Theis
Matthias Bethge
GANVLM
73
200
0
10 Jun 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le
Navdeep Jaitly
Geoffrey E. Hinton
ODL
103
722
0
03 Apr 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
152
2,593
0
16 Feb 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GANDRL
182
1,962
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
254
4,681
0
21 Dec 2014
Fractional Max-Pooling
Fractional Max-Pooling
Benjamin Graham
TPM
109
517
0
18 Dec 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
173
6,057
0
17 Nov 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
352
2,243
0
18 Sep 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
448
20,606
0
10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
261
7,545
0
09 Jun 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
297
6,285
0
16 Dec 2013
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Çağlar Gülçehre
Kyunghyun Cho
Razvan Pascanu
Yoshua Bengio
106
170
0
07 Nov 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
262
2,179
0
18 Feb 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural
  Networks
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
198
989
0
16 Jan 2013
1