Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick XinBehrooz GhorbaniJustin GilmerAnkush GargOrhan FiratPublished in: NeurIPS (2022)
Keyphrases
- optimization methods
- deep learning
- multi task
- multi task learning
- optimization method
- sparse learning
- learning tasks
- optimization problems
- simulated annealing
- feature selection
- efficient optimization
- transfer learning
- multi class
- machine learning
- mental models
- data mining
- data sets
- multi objective
- object recognition
- learning algorithm