miscellaneous-19
Multi-Task Learning
3260 papers • 126 benchmarks • 313 datasets
Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks. ( Image credit: Cross-stitch Networks for Multi-task Learning )
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in multi-task-learning-38
Trend
Dataset
Best Model
Actions
Cityscapes test
Cityscapes test
OMNIGLOT
OMNIGLOT
CelebA
CelebA
Libraries
iUse these libraries to find multi-task-learning-38 models and implementations
4 papers 471
Datasets
No datasets available.
