Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification.
Yau-Shian WangHung-yi LeeYun-Nung ChenPublished in: CoRR (2020)
Keyphrases
- text classification
- supervised learning
- online learning
- learning algorithm
- unsupervised learning
- training process
- learning tasks
- learning process
- learning systems
- learning speed
- deep architectures
- reinforcement learning
- deep belief networks
- active learning
- multi agent
- machine learning
- multi label
- training data
- weakly supervised
- feedforward neural networks
- structured prediction