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1710.02224
Cited By
Dilated Recurrent Neural Networks
5 October 2017
Shiyu Chang
Yang Zhang
Wei Han
Mo Yu
Xiaoxiao Guo
Wei Tan
Xiaodong Cui
Michael Witbrock
M. Hasegawa-Johnson
Thomas S. Huang
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Papers citing
"Dilated Recurrent Neural Networks"
15 / 115 papers shown
Title
Long Short-Term Memory with Dynamic Skip Connections
Tao Gui
Qi Zhang
Lujun Zhao
Y. Lin
Minlong Peng
Jingjing Gong
Xuanjing Huang
35
27
0
09 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series
Qiang Zhang
Kyle Birkeland
Yaodong Yang
Y. Liu
24
9
0
08 Nov 2018
Trellis Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
25
145
0
15 Oct 2018
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets
Abhijit Mahalunkar
John D. Kelleher
24
8
0
06 Oct 2018
Linked Recurrent Neural Networks
Zhiwei Wang
Yao Ma
Dawei Yin
Jiliang Tang
22
1
0
19 Aug 2018
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures
Abhijit Mahalunkar
John D. Kelleher
22
15
0
15 Aug 2018
IGLOO: Slicing the Features Space to Represent Sequences
Vsevolod Sourkov
VLM
20
5
0
09 Jul 2018
Sliced Recurrent Neural Networks
Zeping Yu
Gongshen Liu
18
41
0
06 Jul 2018
The challenge of realistic music generation: modelling raw audio at scale
Sander Dieleman
Aaron van den Oord
Karen Simonyan
21
184
0
26 Jun 2018
Training LSTM Networks with Resistive Cross-Point Devices
Tayfun Gokmen
Malte J. Rasch
W. Haensch
6
45
0
01 Jun 2018
Improved Sentence Modeling using Suffix Bidirectional LSTM
Siddhartha Brahma
19
24
0
18 May 2018
The unreasonable effectiveness of the forget gate
J. Westhuizen
Joan Lasenby
22
86
0
13 Apr 2018
Multi-range Reasoning for Machine Comprehension
Yi Tay
Anh Tuan Luu
S. Hui
13
34
0
24 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
42
4,715
0
04 Mar 2018
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He
Shaobing Gao
Liang Xiao
Daxue Liu
Hangen He
David Barber
AIMat
37
64
0
05 Nov 2017
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