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Recurrent Additive Networks

Recurrent Additive Networks

21 May 2017
Kenton Lee
Omer Levy
Luke Zettlemoyer
    GNN
    AI4CE
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Papers citing "Recurrent Additive Networks"

11 / 11 papers shown
Title
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
30
2
0
09 Oct 2019
A Lightweight Recurrent Network for Sequence Modeling
A Lightweight Recurrent Network for Sequence Modeling
Biao Zhang
Rico Sennrich
27
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
8
82
0
24 Jan 2019
Pyramidal Recurrent Unit for Language Modeling
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
Rik Koncel-Kedziorski
Mohammad Rastegari
Hannaneh Hajishirzi
21
10
0
27 Aug 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
27
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
28
24
0
15 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
28
1,278
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
21
1
0
06 Feb 2018
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
45
137
0
25 May 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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