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1609.01704
Cited By
Hierarchical Multiscale Recurrent Neural Networks
6 September 2016
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
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Papers citing
"Hierarchical Multiscale Recurrent Neural Networks"
50 / 58 papers shown
Title
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
Guilherme Palma
P. A. Santos
João Dias
43
0
0
20 Feb 2025
Selective Inference for Changepoint detection by Recurrent Neural Network
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
11
4
0
25 Nov 2023
Hierarchical Attention Encoder Decoder
Asier Mujika
BDL
22
3
0
01 Jun 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu
Chengyu Dong
Xiaodong Liu
Bin-Xia Yu
Jianfeng Gao
BDL
18
20
0
17 Apr 2023
An end-to-end multi-scale network for action prediction in videos
Xiaofan Liu
Jianqin Yin
Yuanxi Sun
Zhicheng Zhang
Jin Tang
19
0
0
31 Dec 2022
Long-horizon video prediction using a dynamic latent hierarchy
Alexey Zakharov
Qinghai Guo
Z. Fountas
19
4
0
29 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Dan Liu
X. Chen
Chen-li Ma
Xue Liu
MQ
22
3
0
24 Dec 2022
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition
Genshun Wan
Tan Liu
Hang Chen
Jia-Yu Pan
Cong Liu
Z. Ye
SSL
10
0
0
07 Dec 2022
Efficient Transformers with Dynamic Token Pooling
Piotr Nawrot
J. Chorowski
Adrian Lañcucki
E. Ponti
8
42
0
17 Nov 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
Aniket Didolkar
Kshitij Gupta
Anirudh Goyal
Nitesh B. Gundavarapu
Alex Lamb
Nan Rosemary Ke
Yoshua Bengio
AI4CE
110
17
0
30 May 2022
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators
Suyeon Choi
Manu Gopakumar
Yifan Peng
Peng
Jonghyun Kim
Matthew O'Toole
Gordon Wetzstein
10
58
0
05 May 2022
Dependency-based Mixture Language Models
Zhixian Yang
Xiaojun Wan
41
2
0
19 Mar 2022
MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks
Angel Villar-Corrales
Ani J. Karapetyan
Andreas Boltres
Sven Behnke
19
11
0
17 Mar 2022
Bayesian sense of time in biological and artificial brains
Z. Fountas
Alexey Zakharov
27
0
0
14 Jan 2022
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Sabrina J. Mielke
Zaid Alyafeai
Elizabeth Salesky
Colin Raffel
Manan Dey
...
Arun Raja
Chenglei Si
Wilson Y. Lee
Benoît Sagot
Samson Tan
23
140
0
20 Dec 2021
Variational Predictive Routing with Nested Subjective Timescales
Alexey Zakharov
Qinghai Guo
Z. Fountas
BDL
AI4TS
35
9
0
21 Oct 2021
Soft Actor-Critic With Integer Actions
Ting-Han Fan
Yubo Wang
15
12
0
17 Sep 2021
Unsupervised Automatic Speech Recognition: A Review
Hanan Aldarmaki
Asad Ullah
Nazar Zaki
VLM
SSL
31
56
0
09 Jun 2021
Learning Task Decomposition with Ordered Memory Policy Network
Yucheng Lu
Yikang Shen
Siyuan Zhou
Aaron Courville
J. Tenenbaum
Chuang Gan
11
15
0
19 Mar 2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
J. Clark
Dan Garrette
Iulia Turc
John Wieting
25
210
0
11 Mar 2021
Multi-timescale Representation Learning in LSTM Language Models
Shivangi Mahto
Vy A. Vo
Javier S. Turek
Alexander G. Huth
10
29
0
27 Sep 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory
Antonio Carta
A. Sperduti
D. Bacciu
CLL
18
10
0
29 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows
N. Geneva
N. Zabaras
AI4CE
14
44
0
08 Jun 2020
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments
Jens Heitkaemper
Joerg Schmalenstroeer
Reinhold Haeb-Umbach
6
9
0
20 May 2020
Multiscale Collaborative Deep Models for Neural Machine Translation
Xiangpeng Wei
Heng Yu
Yue Hu
Yue Zhang
Rongxiang Weng
Weihua Luo
19
28
0
29 Apr 2020
Generating new concepts with hybrid neuro-symbolic models
Reuben Feinman
Brenden Lake
BDL
24
13
0
19 Mar 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision
Arsha Nagrani
Joon Son Chung
Samuel Albanie
Andrew Zisserman
SSL
11
88
0
20 Feb 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino
Adria Puigdomenech Badia
Raphael Köster
Martin Chadwick
V. Zambaldi
Demis Hassabis
Caswell Barry
M. Botvinick
D. Kumaran
Charles Blundell
KELM
18
33
0
29 Jan 2020
Encoding word order in complex embeddings
Benyou Wang
Donghao Zhao
Christina Lioma
Qiuchi Li
Peng Zhang
J. Simonsen
9
111
0
27 Dec 2019
Understanding and Improving Layer Normalization
Jingjing Xu
Xu Sun
Zhiyuan Zhang
Guangxiang Zhao
Junyang Lin
FAtt
18
338
0
16 Nov 2019
Compressive Transformers for Long-Range Sequence Modelling
Jack W. Rae
Anna Potapenko
Siddhant M. Jayakumar
Timothy Lillicrap
RALM
VLM
KELM
11
618
0
13 Nov 2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Dongyeop Kang
Hiroaki Hayashi
A. Black
Eduard H. Hovy
8
8
0
30 Aug 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation
A. Kuncoro
Chris Dyer
Laura Rimell
S. Clark
Phil Blunsom
25
26
0
14 Jun 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations
J. Livezey
Ahyeon Hwang
Jacob Yeung
K. Bouchard
28
0
0
23 May 2019
Modeling Recurrence for Transformer
Jie Hao
Xing Wang
Baosong Yang
Longyue Wang
Jinfeng Zhang
Zhaopeng Tu
23
85
0
05 Apr 2019
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Wengong Jin
Kevin Kaichuang Yang
Regina Barzilay
Tommi Jaakkola
23
224
0
03 Dec 2018
Learning to Discover, Ground and Use Words with Segmental Neural Language Models
Kazuya Kawakami
Chris Dyer
Phil Blunsom
VLM
15
11
0
23 Nov 2018
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen
Shawn Tan
Alessandro Sordoni
Aaron Courville
18
322
0
22 Oct 2018
Improving the Expressiveness of Deep Learning Frameworks with Recursion
Eunji Jeong
Joo Seong Jeong
Soojeong Kim
Gyeong-In Yu
Byung-Gon Chun
13
18
0
04 Sep 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Max Jaderberg
Wojciech M. Czarnecki
Iain Dunning
Luke Marris
Guy Lever
...
Joel Z. Leibo
David Silver
Demis Hassabis
Koray Kavukcuoglu
T. Graepel
OffRL
16
713
0
03 Jul 2018
The streaming rollout of deep networks - towards fully model-parallel execution
Volker Fischer
Jan M. Köhler
Thomas Pfeil
11
16
0
13 Jun 2018
Temporal Difference Variational Auto-Encoder
Karol Gregor
George Papamakarios
F. Besse
Lars Buesing
Theophane Weber
DRL
16
126
0
08 Jun 2018
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
11
4
0
13 May 2018
An Analysis of Neural Language Modeling at Multiple Scales
Stephen Merity
N. Keskar
R. Socher
14
170
0
22 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
8
4,708
0
04 Mar 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
37
75
0
14 Feb 2018
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework
Qianli Ma
Lifeng Shen
G. Cottrell
AI4TS
17
40
0
13 Nov 2017
Dilated Recurrent Neural Networks
Shiyu Chang
Yang Zhang
Wei Han
Mo Yu
Xiaoxiao Guo
Wei Tan
Xiaodong Cui
Michael Witbrock
M. Hasegawa-Johnson
Thomas S. Huang
10
296
0
05 Oct 2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
Jordi Torres
Shih-Fu Chang
14
217
0
22 Aug 2017
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