Learning Deep Network Representations with Adversarially Regularized Autoencoders.
Wenchao YuCheng ZhengWei ChengCharu C. AggarwalDongjin SongBo ZongHaifeng ChenWei WangPublished in: KDD (2018)
Keyphrases
- learning systems
- deep belief networks
- network model
- online learning
- data sets
- learning process
- prior knowledge
- connectionist networks
- active learning
- knowledge acquisition
- learning algorithm
- learning tasks
- machine learning
- recurrent networks
- multilayer neural network
- fully connected
- deep learning
- learning rules
- inductive inference
- unsupervised learning
- supervised learning
- least squares
- wireless sensor networks
- training data
- neural network