The Programming of Deep Learning Accelerators as a Constraint Satisfaction Problem.
Dennis RieberAxel AcostaHolger FröningPublished in: CoRR (2021)
Keyphrases
- deep learning
- constraint satisfaction problems
- constraint satisfaction
- constraint propagation
- unsupervised learning
- search space
- constraint programming
- unsupervised feature learning
- machine learning
- non binary
- constraint solving
- np complete
- partial constraint satisfaction
- np hard
- arc consistency
- mental models
- finite domain
- soft constraints
- weakly supervised
- pseudo boolean optimization
- reasoning problems
- constraint problems
- image segmentation
- knowledge base
- multiscale
- state space
- segmentation method
- finding optimal solutions
- data mining
- markov random field
- decision support