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Quasi-Recurrent Neural Networks
v1v2 (latest)

Quasi-Recurrent Neural Networks

5 November 2016
James Bradbury
Stephen Merity
Caiming Xiong
R. Socher
ArXiv (abs)PDFHTML

Papers citing "Quasi-Recurrent Neural Networks"

50 / 135 papers shown
Title
Training with Quantization Noise for Extreme Model Compression
Training with Quantization Noise for Extreme Model Compression
Angela Fan
Pierre Stock
Benjamin Graham
Edouard Grave
Remi Gribonval
Hervé Jégou
Armand Joulin
MQ
111
246
0
15 Apr 2020
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Kaixuan Wei
Ying Fu
Hua Huang
90
172
0
10 Mar 2020
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning
Yifan Zhang
P. Zhao
Qingyao Wu
Bin Li
Junzhou Huang
Mingkui Tan
OOD
149
97
0
06 Mar 2020
The Implicit and Explicit Regularization Effects of Dropout
The Implicit and Explicit Regularization Effects of Dropout
Colin Wei
Sham Kakade
Tengyu Ma
121
118
0
28 Feb 2020
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent
  Units
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
Zhanzhan Cheng
Yunlu Xu
Mingjian Cheng
Yu Qiao
Shiliang Pu
Yi Niu
Leilei Gan
33
8
0
26 Feb 2020
Hierarchical Transformer Network for Utterance-level Emotion Recognition
Hierarchical Transformer Network for Utterance-level Emotion Recognition
Qingbiao Li
Chunhua Wu
K. Zheng
Zhe Wang
60
23
0
18 Feb 2020
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
Bin Ren
Mengyuan Liu
Runwei Ding
Hong Liu
89
128
0
14 Feb 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
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
288
290
0
25 Jan 2020
Question Type Classification Methods Comparison
Question Type Classification Methods Comparison
T. Seidakhmetov
39
3
0
03 Jan 2020
Multi-task Sentence Encoding Model for Semantic Retrieval in Question
  Answering Systems
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
Qiang Huang
Jianhui Bu
Weijian Xie
Shengwen Yang
Weijia Wu
Liping Liu
52
17
0
18 Nov 2019
Compressive Transformers for Long-Range Sequence Modelling
Compressive Transformers for Long-Range Sequence Modelling
Jack W. Rae
Anna Potapenko
Siddhant M. Jayakumar
Timothy Lillicrap
RALMVLMKELM
83
655
0
13 Nov 2019
Character-based NMT with Transformer
Character-based NMT with Transformer
Rohit Gupta
Laurent Besacier
Marc Dymetman
Matthias Gallé
84
24
0
12 Nov 2019
BP-Transformer: Modelling Long-Range Context via Binary Partitioning
BP-Transformer: Modelling Long-Range Context via Binary Partitioning
Zihao Ye
Qipeng Guo
Quan Gan
Xipeng Qiu
Zheng Zhang
91
78
0
11 Nov 2019
Multimodal Intelligence: Representation Learning, Information Fusion,
  and Applications
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Chao Zhang
Zichao Yang
Xiaodong He
Li Deng
HAIAI4TS
122
337
0
10 Nov 2019
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with
  Noisy Supervision
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
K. Mangalam
Ehsan Adeli
Kuan-Hui Lee
Adrien Gaidon
Juan Carlos Niebles
NoLa
82
48
0
04 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
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
66
2
0
09 Oct 2019
A Constructive Prediction of the Generalization Error Across Scales
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld
Amir Rosenfeld
Yonatan Belinkov
Nir Shavit
113
215
0
27 Sep 2019
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Julian Martin Eisenschlos
Sebastian Ruder
Piotr Czapla
Marcin Kardas
Sylvain Gugger
Jeremy Howard
69
99
0
10 Sep 2019
RNN Architecture Learning with Sparse Regularization
RNN Architecture Learning with Sparse Regularization
Jesse Dodge
Roy Schwartz
Hao Peng
Noah A. Smith
79
10
0
06 Sep 2019
Deep Equilibrium Models
Deep Equilibrium Models
Shaojie Bai
J. Zico Kolter
V. Koltun
105
674
0
03 Sep 2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion
  Recognition in Conversation
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Deepanway Ghosal
Navonil Majumder
Soujanya Poria
Niyati Chhaya
Alexander Gelbukh
97
514
0
30 Aug 2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model
  Compression
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
Genta Indra Winata
Andrea Madotto
Jamin Shin
Elham J. Barezi
Pascale Fung
64
29
0
27 Aug 2019
Recurrent Neural Networks: An Embedded Computing Perspective
Recurrent Neural Networks: An Embedded Computing Perspective
Nesma M. Rezk
M. Purnaprajna
Tomas Nordstrom
Z. Ul-Abdin
129
81
0
23 Jul 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic
  Compression
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Rika Antonova
Akshara Rai
Tianyu Li
Danica Kragic
DRL
120
19
0
10 Jul 2019
Applying a Pre-trained Language Model to Spanish Twitter Humor
  Prediction
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction
Bobak Farzin
Piotr Czapla
Jeremy Howard
24
7
0
06 Jul 2019
Evaluating Computational Language Models with Scaling Properties of
  Natural Language
Evaluating Computational Language Models with Scaling Properties of Natural Language
Shuntaro Takahashi
Kumiko Tanaka-Ishii
60
27
0
22 Jun 2019
Character n-gram Embeddings to Improve RNN Language Models
Character n-gram Embeddings to Improve RNN Language Models
Sho Takase
Jun Suzuki
Masaaki Nagata
61
25
0
13 Jun 2019
Improving Neural Language Modeling via Adversarial Training
Improving Neural Language Modeling via Adversarial Training
Dilin Wang
Chengyue Gong
Qiang Liu
AAML
115
119
0
10 Jun 2019
A Lightweight Recurrent Network for Sequence Modeling
A Lightweight Recurrent Network for Sequence Modeling
Biao Zhang
Rico Sennrich
58
7
0
30 May 2019
Adaptively Truncating Backpropagation Through Time to Control Gradient
  Bias
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
Christopher Aicher
N. Foti
E. Fox
MQ
61
32
0
17 May 2019
Deep Landscape Forecasting for Real-time Bidding Advertising
Deep Landscape Forecasting for Real-time Bidding Advertising
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Yong Yu
OOD
78
38
0
07 May 2019
Temporal Deformable Convolutional Encoder-Decoder Networks for Video
  Captioning
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Jingwen Chen
Yingwei Pan
Yehao Li
Ting Yao
Hongyang Chao
Tao Mei
81
103
0
03 May 2019
Modeling Vocabulary for Big Code Machine Learning
Modeling Vocabulary for Big Code Machine Learning
Hlib Babii
Andrea Janes
Romain Robbes
36
22
0
03 Apr 2019
IndyLSTMs: Independently Recurrent LSTMs
IndyLSTMs: Independently Recurrent LSTMs
P. Gonnet
Thomas Deselaers
30
11
0
19 Mar 2019
1D Convolutional Neural Network Models for Sleep Arousal Detection
1D Convolutional Neural Network Models for Sleep Arousal Detection
M. Zabihi
Ali Bahrami Rad
S. Kiranyaz
Simo Särkkä
Moncef Gabbouj
39
14
0
01 Mar 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated
  Recurrent Neural Network
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati
Manish Singh
Kush S. Bhatia
A. Kumar
Prateek Jain
Manik Varma
80
190
0
08 Jan 2019
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in
  Deep NLP Models
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Fahim Dalvi
Nadir Durrani
Hassan Sajjad
Yonatan Belinkov
A. Bau
James R. Glass
MILM
81
192
0
21 Dec 2018
Enhancing Decision Making Capacity in Tourism Domain Using Social Media
  Analytics
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics
Supun Abeysinghe
Isura Manchanayake
Chamod Samarajeewa
Prabod Rathnayaka
M. Walpola
Rashmika Nawaratne
T. Bandaragoda
D. Alahakoon
28
10
0
19 Dec 2018
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi
Yaser Keneshloo
Naren Ramakrishnan
Chandan K. Reddy
127
234
0
05 Dec 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
69
399
0
28 Nov 2018
Comprehensive evaluation of statistical speech waveform synthesis
Comprehensive evaluation of statistical speech waveform synthesis
Thomas Merritt
Bartosz Putrycz
Adam Nadolski
Tianjun Ye
Daniel Korzekwa
...
Alexis Moinet
A. Breen
Rafal Kuklinski
N. Strom
Roberto Barra-Chicote
51
18
0
15 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
Recurrent Attention Unit
Recurrent Attention Unit
G. Zhong
Guohua Yue
Xiao Ling
43
14
0
30 Oct 2018
Simplifying Neural Machine Translation with Addition-Subtraction
  Twin-Gated Recurrent Networks
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Biao Zhang
Deyi Xiong
Jinsong Su
Qian Lin
Huiji Zhang
48
12
0
30 Oct 2018
Trellis Networks for Sequence Modeling
Trellis Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
86
146
0
15 Oct 2018
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism
  Persists
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists
Giancarlo D. Salton
John D. Kelleher
KELMRALM
140
6
0
10 Oct 2018
End-to-End Text Classification via Image-based Embedding using
  Character-level Networks
End-to-End Text Classification via Image-based Embedding using Character-level Networks
Shunsuke Kitada
Ryunosuke Kotani
Hitoshi Iyatomi
45
4
0
08 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable
  Objects, and Fluids
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
PINNAI4CE
133
399
0
03 Oct 2018
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