Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications.
Subhankar BanerjeeShayok ChakrabortyPublished in: IJCNN (2020)
Keyphrases
- resource constrained
- fine tuning
- deep learning
- subset selection
- resource constraints
- unsupervised learning
- wireless sensor networks
- feature selection
- sensor networks
- machine learning
- unsupervised feature learning
- hill climbing
- weakly supervised
- mental models
- multi class
- multipath
- simulated annealing
- object recognition
- semi supervised
- embedded systems
- lower bound
- feature space
- search algorithm
- multiscale
- data sets