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Fast-Slow Recurrent Neural Networks
v1v2 (latest)

Fast-Slow Recurrent Neural Networks

24 May 2017
Asier Mujika
Florian Meier
Angelika Steger
ArXiv (abs)PDFHTML

Papers citing "Fast-Slow Recurrent Neural Networks"

49 / 49 papers shown
Title
Contextually Guided Transformers via Low-Rank Adaptation
Contextually Guided Transformers via Low-Rank Adaptation
A. Zhmoginov
Jihwan Lee
Max Vladymyrov
Mark Sandler
OffRL
57
0
0
06 Jun 2025
A Quantitative Review on Language Model Efficiency Research
A Quantitative Review on Language Model Efficiency Research
Meng Jiang
Hy Dang
Lingbo Tong
76
0
0
28 May 2023
Long-horizon video prediction using a dynamic latent hierarchy
Long-horizon video prediction using a dynamic latent hierarchy
Alexey Zakharov
Qinghai Guo
Zafeirios Fountas
77
4
0
29 Dec 2022
Efficient Transformers with Dynamic Token Pooling
Efficient Transformers with Dynamic Token Pooling
Piotr Nawrot
J. Chorowski
Adrian Lañcucki
Edoardo Ponti
83
46
0
17 Nov 2022
Variational Predictive Routing with Nested Subjective Timescales
Variational Predictive Routing with Nested Subjective Timescales
Alexey Zakharov
Qinghai Guo
Zafeirios Fountas
BDLAI4TS
65
9
0
21 Oct 2021
Clockwork Variational Autoencoders
Clockwork Variational Autoencoders
Vaibhav Saxena
Jimmy Ba
Danijar Hafner
VGenDRL
90
49
0
18 Feb 2021
A New Training Pipeline for an Improved Neural Transducer
A New Training Pipeline for an Improved Neural Transducer
Albert Zeyer
André Merboldt
Ralf Schluter
Hermann Ney
AI4TSMedIm
75
52
0
19 May 2020
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
147
155
0
13 Feb 2020
Explicit Sparse Transformer: Concentrated Attention Through Explicit
  Selection
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
Guangxiang Zhao
Junyang Lin
Zhiyuan Zhang
Xuancheng Ren
Qi Su
Xu Sun
79
113
0
25 Dec 2019
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Kyle E. Helfrich
Qiang Ye
44
6
0
18 Nov 2019
Multi-Zone Unit for Recurrent Neural Networks
Multi-Zone Unit for Recurrent Neural Networks
Fandong Meng
Jinchao Zhang
Yang Liu
Jie Zhou
AI4CE
57
2
0
17 Nov 2019
Deep Independently Recurrent Neural Network (IndRNN)
Deep Independently Recurrent Neural Network (IndRNN)
Shuai Li
Wanqing Li
Chris Cook
Yanbo Gao
66
51
0
11 Oct 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
110
210
0
30 Aug 2019
Augmenting Self-attention with Persistent Memory
Augmenting Self-attention with Persistent Memory
Sainbayar Sukhbaatar
Edouard Grave
Guillaume Lample
Hervé Jégou
Armand Joulin
RALMKELM
77
139
0
02 Jul 2019
Dynamic Evaluation of Transformer Language Models
Dynamic Evaluation of Transformer Language Models
Ben Krause
Emmanuel Kahembwe
Iain Murray
Steve Renals
100
43
0
17 Apr 2019
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform
  Information Flow in Sequential Data
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data
Yifeng Zhang
Ka-Ho Chow
Shueng-Han Gary Chan
AI4TS
67
2
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
275
3,756
0
09 Jan 2019
Long Short-Term Memory with Dynamic Skip Connections
Long Short-Term Memory with Dynamic Skip Connections
Tao Gui
Qi Zhang
Lujun Zhao
Y. Lin
Minlong Peng
Jingjing Gong
Xuanjing Huang
85
27
0
09 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for
  Financial Time Series
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series
Qiang Zhang
Kyle Birkeland
Yaodong Yang
Yixiao Liu
64
9
0
08 Nov 2018
Trellis Networks for Sequence Modeling
Trellis Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
86
146
0
15 Oct 2018
Improved Language Modeling by Decoding the Past
Improved Language Modeling by Decoding the Past
Siddhartha Brahma
BDLAI4TS
42
6
0
14 Aug 2018
Character-Level Language Modeling with Deeper Self-Attention
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou
Dokook Choe
Noah Constant
Mandy Guo
Llion Jones
159
393
0
09 Aug 2018
An Analysis of Neural Language Modeling at Multiple Scales
An Analysis of Neural Language Modeling at Multiple Scales
Stephen Merity
N. Keskar
R. Socher
79
171
0
22 Mar 2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and
  Deeper RNN
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
98
732
0
13 Mar 2018
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence
  Learning
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He
Shaobing Gao
Liang Xiao
Daxue Liu
Hangen He
David Barber
AIMat
92
65
0
05 Nov 2017
Language Modeling with Highway LSTM
Language Modeling with Highway LSTM
Gakuto Kurata
Bhuvana Ramabhadran
G. Saon
A. Sethy
AI4TS
73
38
0
19 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
167
277
0
08 Sep 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application
  to RNNs
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing
Yichen Shen
T. Dubček
J. Peurifoy
S. Skirlo
Yann LeCun
Max Tegmark
Marin Soljacic
99
178
0
15 Dec 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
565
5,392
0
05 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
124
553
0
31 Oct 2016
Surprisal-Driven Zoneout
Surprisal-Driven Zoneout
K. Rocki
Tomasz Kornuta
Tegan Maharaj
101
8
0
24 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
182
1,637
0
27 Sep 2016
Multiplicative LSTM for sequence modelling
Multiplicative LSTM for sequence modelling
Ben Krause
Liang Lu
Iain Murray
Steve Renals
118
208
0
26 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
130
538
0
06 Sep 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
444
10,560
0
21 Jul 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
126
417
0
12 Jul 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
115
318
0
03 Jun 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
131
552
0
29 Mar 2016
End-to-End Attention-based Large Vocabulary Speech Recognition
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau
J. Chorowski
Dmitriy Serdyuk
Philemon Brakel
Yoshua Bengio
132
1,152
0
18 Aug 2015
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware
  Query Suggestion
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion
Alessandro Sordoni
Yoshua Bengio
H. Vahabi
Christina Lioma
J. Simonsen
J. Nie
3DV
95
552
0
08 Jul 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
187
1,771
0
03 May 2015
Gated Feedback Recurrent Neural Networks
Gated Feedback Recurrent Neural Networks
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
88
831
0
09 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.4K
150,597
0
22 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
120
2,334
0
20 Oct 2014
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNNKELM
333
1,711
0
15 Oct 2014
Recurrent Neural Network Regularization
Recurrent Neural Network Regularization
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
ODL
182
2,782
0
08 Sep 2014
A Clockwork RNN
A Clockwork RNN
Jan Koutník
Klaus Greff
Faustino J. Gomez
Jürgen Schmidhuber
92
503
0
14 Feb 2014
How to Construct Deep Recurrent Neural Networks
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
232
1,011
0
20 Dec 2013
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
279
4,045
0
04 Aug 2013
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