ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.07959
  4. Cited By
Multiplicative LSTM for sequence modelling

Multiplicative LSTM for sequence modelling

26 September 2016
Ben Krause
Liang Lu
Iain Murray
Steve Renals
ArXivPDFHTML

Papers citing "Multiplicative LSTM for sequence modelling"

20 / 20 papers shown
Title
Machine Learning-Based Estimation Of Wave Direction For Unmanned Surface Vehicles
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
Learning to Generate Reviews and Discovering Sentiment
Alec Radford
Rafal Jozefowicz
Ilya Sutskever
44
504
0
05 Apr 2017
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
15
413
0
12 Jul 2016
1