Skip to main navigation
Skip to search
Skip to main content
National Yang Ming Chiao Tung University Academic Hub Home
English
中文
Home
Profiles
Research units
Research output
Projects
Prizes
Activities
Equipment
Impacts
Search by expertise, name or affiliation
Hierarchical and Self-Attended Sequence Autoencoder
Jen Tzung Chien
, Chun Wei Wang
Department of Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Hierarchical and Self-Attended Sequence Autoencoder'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Autoencoder
100%
Input Sequence
50%
Latent Variables
50%
Sequential Learning
50%
Latent Information
50%
Posterior Collapse
50%
Variational Sequence
50%
Language Modeling
25%
Latent Semantic
25%
Encoder
25%
Decoder
25%
Natural Language Semantics
25%
Document Classification
25%
Document Summarization
25%
Training Procedure
25%
Encoder-decoder
25%
Structural Dependence
25%
Variational Inference
25%
Variational
25%
Semantic Understanding
25%
Gaussian Prior
25%
Global Dependencies
25%
Long Short-term Memory
25%
Bidirectional Long Short-term Memory (BiLSTM)
25%
Sequence Representation
25%
Natural Language Applications
25%
Sequence Modeling
25%
Hybrid Sequencing
25%
Self-attention Mechanism
25%
Information Bound
25%
Individual Sequences
25%
Engineering
Autoencoder
100%
Input Sequence
50%
Long Short-Term Memory
50%
Gaussians
25%
Recurrent
25%
Summarization
25%
Information Bound
25%
Computer Science
Autoencoder
100%
Sequential Learning
50%
Language Modeling
25%
Document Classification
25%
Long Short-Term Memory Network
25%
Self-Attention Mechanism
25%
Bidirectional Long Short-Term Memory Network
25%
Coder
25%
Mathematics
Stochastics
100%
Gaussian Distribution
33%
Encoder-Decoder
33%
Document Classification
33%
Training Procedure
33%
Coder
33%