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On Multiplicative Integration with Recurrent Neural Networks

On Multiplicative Integration with Recurrent Neural Networks

21 June 2016
Yuhuai Wu
Saizheng Zhang
Wenjie Qu
Yoshua Bengio
Ruslan Salakhutdinov
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Papers citing "On Multiplicative Integration with Recurrent Neural Networks"

22 / 72 papers shown
Title
What-and-Where to Match: Deep Spatially Multiplicative Integration
  Networks for Person Re-identification
What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification
Lin Wu
Yang Wang
Xue Li
Junbin Gao
13
125
0
21 Jul 2017
From Bach to the Beatles: The simulation of human tonal expectation
  using ecologically-trained predictive models
From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models
Carlos Eduardo Cancino-Chacón
M. Grachten
Kat R. Agres
6
5
0
19 Jul 2017
On the State of the Art of Evaluation in Neural Language Models
On the State of the Art of Evaluation in Neural Language Models
Gábor Melis
Chris Dyer
Phil Blunsom
19
532
0
18 Jul 2017
Multiscale sequence modeling with a learned dictionary
Multiscale sequence modeling with a learned dictionary
B. V. Merrienboer
Amartya Sanyal
Hugo Larochelle
Yoshua Bengio
26
10
0
03 Jul 2017
Gated-Attention Architectures for Task-Oriented Language Grounding
Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot
Kanthashree Mysore Sathyendra
Rama Kumar Pasumarthi
Dheeraj Rajagopal
Ruslan Salakhutdinov
LM&Ro
11
276
0
22 Jun 2017
Predictive State Recurrent Neural Networks
Predictive State Recurrent Neural Networks
Carlton Downey
Ahmed S. Hefny
Boyue Li
Byron Boots
Geoffrey J. Gordon
AI4TS
20
55
0
25 May 2017
Recurrent Additive Networks
Recurrent Additive Networks
Kenton Lee
Omer Levy
Luke Zettlemoyer
GNN
AI4CE
17
38
0
21 May 2017
Learning to Create and Reuse Words in Open-Vocabulary Neural Language
  Modeling
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
Kazuya Kawakami
Chris Dyer
Phil Blunsom
KELM
16
34
0
23 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
38
360
0
10 Apr 2017
Learning Simpler Language Models with the Differential State Framework
Learning Simpler Language Models with the Differential State Framework
Alexander Ororbia
Tomáš Mikolov
David Reitter
AI4TS
14
65
0
26 Mar 2017
Training Language Models Using Target-Propagation
Training Language Models Using Target-Propagation
Sam Wiseman
S. Chopra
MarcÁurelio Ranzato
Arthur Szlam
Ruoyu Sun
Soumith Chintala
Nicolas Vasilache
17
8
0
15 Feb 2017
Semantic Compositional Networks for Visual Captioning
Semantic Compositional Networks for Visual Captioning
Zhe Gan
Chuang Gan
Xiaodong He
Yunchen Pu
Kenneth Tran
Jianfeng Gao
Lawrence Carin
Li Deng
CoGe
42
425
0
23 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL
3DV
BDL
24
13
0
16 Nov 2016
Words or Characters? Fine-grained Gating for Reading Comprehension
Words or Characters? Fine-grained Gating for Reading Comprehension
Zhilin Yang
Bhuwan Dhingra
Ye Yuan
Junjie Hu
William W. Cohen
Ruslan Salakhutdinov
AI4CE
19
100
0
06 Nov 2016
Neural Machine Translation in Linear Time
Neural Machine Translation in Linear Time
Nal Kalchbrenner
L. Espeholt
Karen Simonyan
Aaron van den Oord
Alex Graves
Koray Kavukcuoglu
AIMat
30
548
0
31 Oct 2016
Surprisal-Driven Zoneout
Surprisal-Driven Zoneout
K. Rocki
Tomasz Kornuta
Tegan Maharaj
21
8
0
24 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
72
1,585
0
27 Sep 2016
Multiplicative LSTM for sequence modelling
Multiplicative LSTM for sequence modelling
Ben Krause
Liang Lu
Iain Murray
Steve Renals
32
208
0
26 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
29
534
0
06 Sep 2016
Surprisal-Driven Feedback in Recurrent Networks
Surprisal-Driven Feedback in Recurrent Networks
K. Rocki
12
13
0
22 Aug 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
15
413
0
12 Jul 2016
Gated-Attention Readers for Text Comprehension
Gated-Attention Readers for Text Comprehension
Bhuwan Dhingra
Hanxiao Liu
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
8
416
0
05 Jun 2016
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