Understanding Which Tasks Should Be Learned Together In Multi Task Learning
Exploring Which Tasks Should Be Learned Together In Multi Task Learning reveals several interesting facts. This is my presentation for a recent paper accepted for ICML. I talk about what influences the performance of
Key Takeaways about Which Tasks Should Be Learned Together In Multi Task Learning
- Why train five separate models when one can do the work of five?
- For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai
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- Multi-Task learning: A comprehensive study
- Authors: Junyong Jeong (POSSTECH); Chi-Hyuck Jun (POSTECH) Abstract: We consider
Detailed Analysis of Which Tasks Should Be Learned Together In Multi Task Learning
http://taskgrouping.stanford.edu. For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Machine
Authors: Aral Hekimoglu; Michael Schmidt; Alvaro Marcos-Ramiro Description:
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