Building scalable variational circuit training for machine learning tasks.
Kathleen E. HamiltonEmily LynnTyler KharaziTitus MorrisRyan S. BenninkRaphael C. PooserPublished in: DAC (2021)
Keyphrases
- learning tasks
- learning machines
- supervised learning
- learning problems
- machine learning
- meta learning
- transfer learning
- learning algorithm
- learning experience
- multi task
- training examples
- machine learning algorithms
- multi task learning
- metric learning
- multitask learning
- training set
- training samples
- hypothesis space
- kernel methods
- learning models
- image segmentation
- information retrieval
- multi label
- multimedia
- training data
- kernel based learning methods
- decision trees
- semi supervised
- reinforcement learning
- real world
- unsupervised learning
- active learning