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KATE: K-Competitive Autoencoder for Text
v1v2 (latest)

KATE: K-Competitive Autoencoder for Text

4 May 2017
Yu Chen
Mohammed J Zaki
ArXiv (abs)PDFHTML

Papers citing "KATE: K-Competitive Autoencoder for Text"

6 / 6 papers shown
Title
A General Framework for Learning Prosodic-Enhanced Representation of Rap
  Lyrics
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics
Hongru Liang
Haozheng Wang
Qian Li
Jun Wang
Guandong Xu
Jiawei Chen
Jinmao Wei
Zhenglu Yang
40
0
0
23 Mar 2021
Topic Modelling Meets Deep Neural Networks: A Survey
Topic Modelling Meets Deep Neural Networks: A Survey
He Zhao
Dinh Q. Phung
Viet Huynh
Yuan Jin
Lan Du
Wray Buntine
BDL
58
143
0
28 Feb 2021
SCAT: Second Chance Autoencoder for Textual Data
SCAT: Second Chance Autoencoder for Textual Data
Somaieh Goudarzvand
Gharib Gharibi
Yugyung Lee
61
3
0
11 May 2020
Hierarchical Transformers for Long Document Classification
Hierarchical Transformers for Long Document Classification
R. Pappagari
Piotr Żelasko
Jesús Villalba
Yishay Carmiel
Najim Dehak
111
247
0
23 Oct 2019
Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising
Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising
Fenglei Fan
Hongming Shan
Mannudeep K. Kalra
Ramandeep Singh
Guhan Qian
M. Getzin
Yueyang Teng
Juergen Hahn
Ge Wang
108
110
0
17 Jan 2019
Towards a Near Universal Time Series Data Mining Tool: Introducing the
  Matrix Profile
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
Richard T. Marriott
AI4TS
76
11
0
05 Nov 2018
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