Revisiting Multi-Task Learning in the Deep Learning Era.
Simon VandenhendeStamatios GeorgoulisMarc ProesmansDengxin DaiLuc Van GoolPublished in: CoRR (2020)
Keyphrases
- deep learning
- multi task learning
- multi task
- unsupervised learning
- machine learning
- learning tasks
- high order
- learning problems
- gaussian processes
- transfer learning
- theoretical analysis
- learning models
- mental models
- learning algorithm
- inductive learning
- weakly supervised
- data sets
- decision trees
- feature vectors
- feature selection
- computer vision