Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick XinBehrooz GhorbaniAnkush GargOrhan FiratJustin GilmerPublished in: CoRR (2022)
Keyphrases
- optimization methods
- deep learning
- multi task
- sparse learning
- multi task learning
- optimization method
- simulated annealing
- optimization problems
- learning tasks
- efficient optimization
- machine learning
- unsupervised learning
- multi class
- optimization algorithm
- feature selection
- data sets
- learning problems
- transfer learning
- multiscale
- neural network