Runtime Energy Minimization of Distributed Many-Core Systems using Transfer Learning.
Dainius JenkusFei XiaRishad A. ShafikAlex YakovlevPublished in: DATE (2022)
Keyphrases
- energy minimization
- transfer learning
- graph cuts
- energy function
- distributed systems
- knowledge transfer
- learning tasks
- labeled data
- image segmentation
- semi supervised learning
- reinforcement learning
- markov random field
- unlabeled data
- cross domain
- problems in computer vision
- active learning
- belief propagation
- multi task
- structure learning
- max flow min cut
- higher order
- collaborative filtering
- learning process
- pairwise
- data sets