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Hierarchical and Self-Attended Sequence Autoencoder
Jen Tzung Chien
, Chun Wei Wang
電機工程學系
研究成果
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同行評審
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引文 斯高帕斯（Scopus）
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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%