Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1609.07959
Cited By
Multiplicative LSTM for sequence modelling
26 September 2016
Ben Krause
Liang Lu
Iain Murray
Steve Renals
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Multiplicative LSTM for sequence modelling"
20 / 20 papers shown
Title
Machine Learning-Based Estimation Of Wave Direction For Unmanned Surface Vehicles
Manele Ait Habouche
Mickaël Kerboeuf
Goulven Guillou
Jean-Philippe Babau
74
0
0
17 Dec 2024
A Tensor Decomposition Perspective on Second-order RNNs
M. Lizaire
Michael Rizvi-Martel
Marawan Gamal Abdel Hameed
Guillaume Rabusseau
52
0
0
07 Jun 2024
Exploiting Hierarchical Interactions for Protein Surface Learning
Yiqun Lin
Liang Pan
Yi Li
Ziwei Liu
Xiaomeng Li
40
1
0
17 Jan 2024
Deep Learning-based Sentiment Classification: A Comparative Survey
Mohammed Kayed
R. Redondo
Alhassan Mabrouk
14
41
0
12 Dec 2023
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
Adaku Uchendu
Thai Le
Dongwon Lee
DeLMO
32
41
0
19 Oct 2022
An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks
Zhi Qin Tan
H. P. Wong
Chee Seng Chan
20
1
0
03 Oct 2022
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
Mingyue Zhang Wu
Jinzhu Luo
Xing Fang
Maochao Xu
Peng Zhao
25
12
0
15 Mar 2021
Learning to Generate Music With Sentiment
Lucas N. Ferreira
E. Whitehead
27
82
0
09 Mar 2021
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao
S. Mahajan
Jeremias Sulam
Jeffrey J. Gray
29
159
0
16 Jul 2020
Encoding word order in complex embeddings
Benyou Wang
Donghao Zhao
Christina Lioma
Qiuchi Li
Peng Zhang
J. Simonsen
11
111
0
27 Dec 2019
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
Guangxiang Zhao
Junyang Lin
Zhiyuan Zhang
Xuancheng Ren
Qi Su
Xu Sun
22
108
0
25 Dec 2019
Compressive Transformers for Long-Range Sequence Modelling
Jack W. Rae
Anna Potapenko
Siddhant M. Jayakumar
Timothy Lillicrap
RALM
VLM
KELM
13
621
0
13 Nov 2019
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
Ning Wang
Zhaoxiang Liu
Zezhou Chen
Huan Hu
Kai Wang
CVBM
24
9
0
20 Aug 2019
Evaluating Protein Transfer Learning with TAPE
Roshan Rao
Nicholas Bhattacharya
Neil Thomas
Yan Duan
Xi Chen
John F. Canny
Pieter Abbeel
Yun S. Song
SSL
41
782
0
19 Jun 2019
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis
Egor Lakomkin
M. Zamani
C. Weber
S. Magg
S. Wermter
25
21
0
28 Feb 2019
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
3,674
0
09 Jan 2019
Findings of the Second Workshop on Neural Machine Translation and Generation
Alexandra Birch
A. Finch
Minh-Thang Luong
Graham Neubig
Yusuke Oda
DRL
31
12
0
08 Jun 2018
Do Neural Nets Learn Statistical Laws behind Natural Language?
Shuntaro Takahashi
Kumiko Tanaka-Ishii
33
27
0
16 Jul 2017
Learning to Generate Reviews and Discovering Sentiment
Alec Radford
Rafal Jozefowicz
Ilya Sutskever
44
504
0
05 Apr 2017
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
15
413
0
12 Jul 2016
1