GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models.
Muchen LiJeffrey Yunfan LiuLeonid SigalRenjie LiaoPublished in: CoRR (2022)
Keyphrases
- generative model
- discriminative learning
- neural architectures
- learning process
- hidden variables
- prior knowledge
- boltzmann machine
- mixture model
- deep belief networks
- learning tasks
- unsupervised learning
- supervised learning
- reinforcement learning
- learning algorithm
- swarm intelligence
- semi supervised
- probability distribution
- probabilistic model