Efficient Controllable Multi-Task Architectures
Author:
Affiliation:
1. University of California,Riverside
2. NEC Labs America
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376914.pdf?arnumber=10376914
Reference63 articles.
1. A Survey on Multi-Task Learning
2. Multi-Task Learning for Dense Prediction Tasks: A Survey
3. Multi-task learning in the wilderness;Karpathy
4. On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation
5. Once for all: Train one network and specialize it for efficient deployment;Cai
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