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Learning Longer Memory in Recurrent Neural Networks

Learning Longer Memory in Recurrent Neural Networks

24 December 2014
Tomas Mikolov
Armand Joulin
S. Chopra
Michaël Mathieu
MarcÁurelio Ranzato
ArXivPDFHTML

Papers citing "Learning Longer Memory in Recurrent Neural Networks"

50 / 53 papers shown
Title
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower
  Information Decay
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
H. Chien
Javier S. Turek
Nicole M. Beckage
Vy A. Vo
C. Honey
Ted Willke
27
15
0
12 May 2021
A Discrete Variational Recurrent Topic Model without the
  Reparametrization Trick
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
Mehdi Rezaee
Francis Ferraro
BDL
DRL
17
27
0
22 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
44
79
0
17 Sep 2020
Learning Multi-Sense Word Distributions using Approximate
  Kullback-Leibler Divergence
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
P. Jayashree
Ballijepalli Shreya
P. K. Srijith
26
2
0
12 Nov 2019
A Statistical Investigation of Long Memory in Language and Music
A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell
Zaïd Harchaoui
AI4TS
32
24
0
08 Apr 2019
Slim LSTM networks: LSTM_6 and LSTM_C6
Slim LSTM networks: LSTM_6 and LSTM_C6
Atra Akandeh
F. Salem
32
13
0
18 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
38
3,685
0
09 Jan 2019
Counting in Language with RNNs
He Fun
Sergiy V. Bokhnyak
Francesco Saverio Zuppichini
23
0
0
29 Oct 2018
The challenge of realistic music generation: modelling raw audio at
  scale
The challenge of realistic music generation: modelling raw audio at scale
Sander Dieleman
Aaron van den Oord
Karen Simonyan
23
184
0
26 Jun 2018
Retraining-Based Iterative Weight Quantization for Deep Neural Networks
Retraining-Based Iterative Weight Quantization for Deep Neural Networks
Dongsoo Lee
Byeongwook Kim
MQ
36
16
0
29 May 2018
Low-pass Recurrent Neural Networks - A memory architecture for
  longer-term correlation discovery
Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery
T. Stepleton
Razvan Pascanu
Will Dabney
Siddhant M. Jayakumar
Hubert Soyer
Rémi Munos
19
4
0
13 May 2018
Constrained Deep Learning using Conditional Gradient and Applications in
  Computer Vision
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
Sathya Ravi
Tuan Dinh
Vishnu Suresh Lokhande
Vikas Singh
AI4CE
33
22
0
17 Mar 2018
Sales forecasting using WaveNet within the framework of the Kaggle
  competition
Sales forecasting using WaveNet within the framework of the Kaggle competition
Glib Kechyn
L. Yu
Yangguang Zang
Svyatoslav Kechyn
29
26
0
11 Mar 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
41
179
0
01 Mar 2018
Recent Advances in Recurrent Neural Networks
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad
Sharan Sankar
Joseph Barfett
E. Colak
S. Valaee
AI4TS
40
574
0
29 Dec 2017
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Songlin Yang
Zhouhan Lin
Chin-Wei Huang
Aaron Courville
46
178
0
02 Nov 2017
Self-organized Hierarchical Softmax
Self-organized Hierarchical Softmax
Songlin Yang
Shawn Tan
C. Pal
Aaron Courville
BDL
38
7
0
26 Jul 2017
A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators
  for Partition Function Computation in Log-Linear Models
A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
Ryan Spring
Anshumali Shrivastava
18
53
0
15 Mar 2017
The Statistical Recurrent Unit
The Statistical Recurrent Unit
Junier B. Oliva
Barnabás Póczós
J. Schneider
26
50
0
01 Mar 2017
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks
Rahul Dey
F. Salem
30
1,367
0
20 Jan 2017
A recurrent neural network without chaos
A recurrent neural network without chaos
T. Laurent
J. V. Brecht
LRM
32
62
0
19 Dec 2016
DeepBach: a Steerable Model for Bach Chorales Generation
DeepBach: a Steerable Model for Bach Chorales Generation
Gaëtan Hadjeres
F. Pachet
Frank Nielsen
39
433
0
03 Dec 2016
Prototypical Recurrent Unit
Prototypical Recurrent Unit
Dingkun Long
Richong Zhang
Yongyi Mao
30
6
0
20 Nov 2016
Variable Computation in Recurrent Neural Networks
Variable Computation in Recurrent Neural Networks
Yacine Jernite
Edouard Grave
Armand Joulin
Tomas Mikolov
35
59
0
18 Nov 2016
Learning long-term dependencies for action recognition with a
  biologically-inspired deep network
Learning long-term dependencies for action recognition with a biologically-inspired deep network
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
29
63
0
16 Nov 2016
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji Bousso Dieng
Chong-Jun Wang
Jianfeng Gao
John Paisley
27
243
0
05 Nov 2016
Efficient softmax approximation for GPUs
Efficient softmax approximation for GPUs
Edouard Grave
Armand Joulin
Moustapha Cissé
David Grangier
Hervé Jégou
40
271
0
14 Sep 2016
Using the Output Embedding to Improve Language Models
Using the Output Embedding to Improve Language Models
Ofir Press
Lior Wolf
30
729
0
20 Aug 2016
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
Xi Peng
Rogerio Feris
Xiaoyu Wang
Dimitris N. Metaxas
CVBM
180
140
0
19 Aug 2016
TerpreT: A Probabilistic Programming Language for Program Induction
TerpreT: A Probabilistic Programming Language for Program Induction
Alexander L. Gaunt
Marc Brockschmidt
Rishabh Singh
Nate Kushman
Pushmeet Kohli
Jonathan Taylor
Daniel Tarlow
35
123
0
15 Aug 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive
  Recurrent Network
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski
Patryk A. Laurent
Csaba Petre
Micah Richert
Dimitry Fisher
Todd Hylton
20
17
0
22 Jul 2016
Learning Unitary Operators with Help From u(n)
Learning Unitary Operators with Help From u(n)
Stephanie L. Hyland
Gunnar Rätsch
97
41
0
17 Jul 2016
The LAMBADA dataset: Word prediction requiring a broad discourse context
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno
Germán Kruszewski
Angeliki Lazaridou
Q. N. Pham
Raffaella Bernardi
Sandro Pezzelle
Marco Baroni
Gemma Boleda
Raquel Fernández
41
664
0
20 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David M. Krueger
Tegan Maharaj
János Kramár
Mohammad Pezeshki
Nicolas Ballas
Nan Rosemary Ke
Anirudh Goyal
Yoshua Bengio
Aaron Courville
C. Pal
21
317
0
03 Jun 2016
Minimal Gated Unit for Recurrent Neural Networks
Minimal Gated Unit for Recurrent Neural Networks
Guoxiang Zhou
Jianxin Wu
Chen-Da Liu-Zhang
Zhi-Hua Zhou
31
326
0
31 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
34
807
0
25 Mar 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
32
222
0
16 Mar 2016
Recurrent Orthogonal Networks and Long-Memory Tasks
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff
Arthur Szlam
Yann LeCun
16
130
0
22 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
16
60
0
06 Feb 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMat
RALM
39
1,111
0
25 Jan 2016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural
  Networks for Low-power Neuromorphic Hardware
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
P. U. Diehl
Guido Zarrella
A. Cassidy
Bruno U. Pedroni
Emre Neftci
35
217
0
16 Jan 2016
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
78
1,082
0
17 Nov 2015
Larger-Context Language Modelling
Larger-Context Language Modelling
Tian Wang
Kyunghyun Cho
28
87
0
11 Nov 2015
Top-down Tree Long Short-Term Memory Networks
Top-down Tree Long Short-Term Memory Networks
Xingxing Zhang
Liang Lu
Mirella Lapata
AIMat
20
101
0
31 Oct 2015
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
Yoav Goldberg
AI4CE
50
1,129
0
02 Oct 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image
  Question Answering
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
Haoyuan Gao
Junhua Mao
Jie Zhou
Zhiheng Huang
Lei Wang
Wenyuan Xu
32
496
0
21 May 2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence
  Descriptions of Images
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao
Xu Wei
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
25
154
0
25 Apr 2015
Compositional Vector Space Models for Knowledge Base Completion
Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan
Benjamin Roth
Andrew McCallum
BDL
CoGe
KELM
35
280
0
24 Apr 2015
Bidirectional Recurrent Neural Networks as Generative Models -
  Reconstructing Gaps in Time Series
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series
Mathias Berglund
T. Raiko
Mikko Honkala
L. Kärkkäinen
A. Vetek
J. Karhunen
BDL
43
125
0
07 Apr 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le
Navdeep Jaitly
Geoffrey E. Hinton
ODL
35
716
0
03 Apr 2015
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