Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs.
Timo HackelMikhail UsvyatsovSilvano GallianiJan Dirk WegnerKonrad SchindlerPublished in: GCPR (2018)
Keyphrases
- learning process
- learning systems
- learning algorithm
- boltzmann machine
- learning scenarios
- learning problems
- learning tasks
- knowledge acquisition
- conditional random fields
- graphical models
- learning analytics
- neural network
- topic models
- background knowledge
- state space
- reinforcement learning
- incremental learning
- learning scheme
- grammatical inference
- undirected graphical models