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Recurrent Additive Networks
v1v2 (latest)

Recurrent Additive Networks

21 May 2017
Kenton Lee
Omer Levy
Luke Zettlemoyer
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Recurrent Additive Networks"

15 / 15 papers shown
Title
Fusing Structure from Motion and Simulation-Augmented Pose Regression
  from Optical Flow for Challenging Indoor Environments
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments
Felix Ott
Lucas Heublein
David Rügamer
Bernd Bischl
Christopher Mutschler
76
6
0
14 Apr 2023
BAS: An Answer Selection Method Using BERT Language Model
BAS: An Answer Selection Method Using BERT Language Model
Jamshid Mozafari
A. Fatemi
M. Nematbakhsh
45
17
0
04 Nov 2019
An Augmented Transformer Architecture for Natural Language Generation
  Tasks
An Augmented Transformer Architecture for Natural Language Generation Tasks
Hailiang Li
Adele Y. C. Wang
Yang Liu
Du Tang
Zhibin Lei
Wenye Li
ViT
37
12
0
30 Oct 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural
  Methods
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
Kevin J. Liang
Guoyin Wang
Yitong Li
Ricardo Henao
Lawrence Carin
66
2
0
09 Oct 2019
A Lightweight Recurrent Network for Sequence Modeling
A Lightweight Recurrent Network for Sequence Modeling
Biao Zhang
Rico Sennrich
50
7
0
30 May 2019
End-to-End Optimized Transmission over Dispersive Intensity-Modulated
  Channels Using Bidirectional Recurrent Neural Networks
End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks
B. Karanov
D. Lavery
P. Bayvel
Laurent Schmalen
54
83
0
24 Jan 2019
Simplifying Neural Machine Translation with Addition-Subtraction
  Twin-Gated Recurrent Networks
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Biao Zhang
Deyi Xiong
Jinsong Su
Qian Lin
Huiji Zhang
43
12
0
30 Oct 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN
  Training
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training
Bojian Zheng
Abhishek Tiwari
Nandita Vijaykumar
Gennady Pekhimenko
77
44
0
22 May 2018
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines
Roy Schwartz
Sam Thomson
Noah A. Smith
74
24
0
15 May 2018
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted
  Sum
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum
Omer Levy
Kenton Lee
Nicholas FitzGerald
Luke Zettlemoyer
RALM
66
34
0
09 May 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
102
1,283
0
20 Mar 2018
Non-Projective Dependency Parsing via Latent Heads Representation (LHR)
Non-Projective Dependency Parsing via Latent Heads Representation (LHR)
Matteo Grella
Simone Cangialosi
33
1
0
06 Feb 2018
Self-Attentive Residual Decoder for Neural Machine Translation
Self-Attentive Residual Decoder for Neural Machine Translation
Lesly Miculicich
Nikolaos Pappas
Dhananjay Ram
Andrei Popescu-Belis
52
20
0
14 Sep 2017
Simple Recurrent Units for Highly Parallelizable Recurrence
Simple Recurrent Units for Highly Parallelizable Recurrence
Tao Lei
Yu Zhang
Sida I. Wang
Huijing Dai
Yoav Artzi
LRM
155
277
0
08 Sep 2017
Deriving Neural Architectures from Sequence and Graph Kernels
Deriving Neural Architectures from Sequence and Graph Kernels
Tao Lei
Wengong Jin
Regina Barzilay
Tommi Jaakkola
GNN
111
137
0
25 May 2017
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