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1409.2329
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Recurrent Neural Network Regularization
8 September 2014
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
ODL
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Papers citing
"Recurrent Neural Network Regularization"
24 / 274 papers shown
Title
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
22
1,642
0
16 Dec 2015
Generating News Headlines with Recurrent Neural Networks
Konstantin Lopyrev
15
117
0
05 Dec 2015
Multilingual Language Processing From Bytes
D. Gillick
Clifford Brunk
Oriol Vinyals
A. Subramanya
30
223
0
01 Dec 2015
rnn : Recurrent Library for Torch
Nicholas Léonard
Sagar M. Waghmare
Yang Wang
Jin-Hwa Kim
17
42
0
24 Nov 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CE
ODL
27
541
0
21 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
24
667
0
19 Nov 2015
Recurrent Neural Networks Hardware Implementation on FPGA
Andre Xian Ming Chang
B. Martini
Eugenio Culurciello
21
126
0
17 Nov 2015
Action Recognition using Visual Attention
Shikhar Sharma
Ryan Kiros
Ruslan Salakhutdinov
24
666
0
12 Nov 2015
Batch Normalized Recurrent Neural Networks
César Laurent
Gabriel Pereyra
Philemon Brakel
Wenjie Qu
Yoshua Bengio
35
213
0
05 Oct 2015
A Primer on Neural Network Models for Natural Language Processing
Yoav Goldberg
AI4CE
50
1,128
0
02 Oct 2015
Reasoning about Entailment with Neural Attention
Tim Rocktaschel
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
Phil Blunsom
NAI
12
760
0
22 Sep 2015
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Tsung-Hsien Wen
Milica Gasic
N. Mrksic
Pei-hao Su
David Vandyke
S. Young
20
945
0
07 Aug 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga
Wonmin Byeon
Marcus Liwicki
Jürgen Schmidhuber
18
294
0
24 Jun 2015
Tree-structured composition in neural networks without tree-structured architectures
Samuel R. Bowman
Christopher D. Manning
Christopher Potts
31
75
0
16 Jun 2015
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
Hongyuan Mei
Joey Tianyi Zhou
Matthew R. Walter
LM&Ro
29
242
0
12 Jun 2015
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan
K. Tang
Greg Mori
Li Fei-Fei
34
71
0
02 May 2015
Describing Videos by Exploiting Temporal Structure
L. Yao
Atousa Torabi
Kyunghyun Cho
Nicolas Ballas
C. Pal
Hugo Larochelle
Aaron Courville
61
1,062
0
27 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
121
10,008
0
10 Feb 2015
Efficient batchwise dropout training using submatrices
Ben Graham
Jeremy Reizenstein
Leigh Robinson
21
14
0
09 Feb 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
21
5,556
0
07 Dec 2014
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
68
5,993
0
17 Nov 2014
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
94
6,032
0
17 Nov 2014
Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods
Saahil Ognawala
Justin Bayer
41
3
0
21 Oct 2014
Learning to Execute
Wojciech Zaremba
Ilya Sutskever
ODL
36
555
0
17 Oct 2014
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