Autoencoder for words

By Cheng-Yuan Liou, Wei-Chen Cheng, Jiun-Wei Liou, Daw-Ran Liou. Neurocomputing, 2014

462 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/59e40d166a46e14b37bc90041864eca26af6ae00

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Song Wu
2. Yanming Guo
3. Songyang Lao
4. Michael S. Lew
5. Yu Liu
6. Ard A. J. Oerlemans

Citations in the corpus

• Deep learning for visual understanding: A review (2016, methodology): “The autoencoder is a special type of arti fi cial neural network used for learning ef fi cient encodings [75].”