Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization.
Ozsel KilincIsmail UysalPublished in: ICLR (Poster) (2018)
Keyphrases
- neural network
- unsupervised learning
- learning algorithm
- learning process
- multiple representations
- reinforcement learning
- prior knowledge
- supervised learning
- learning systems
- neural nets
- self organizing maps
- clustering algorithm
- activity theory
- feedforward neural networks
- graph theoretic
- training process
- learning tasks
- back propagation
- active learning
- graph model
- artificial neural networks
- k means