Heterogeneous Multi-task Learning with Expert Diversity
Author:
Affiliation:
1. Computer Science, Simon Fraser University, 1763 Burnaby, British Columbia, Canada, V5A 1S6
2. Borealis AI, 549153 Vancouver, British Columbia, Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/4359833/09775556.pdf?arnumber=9775556
Reference23 articles.
1. PubChem BioAssay: 2017 update
2. Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
3. Multitask Learning: A Knowledge-Based Source of Inductive Bias
4. Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
5. Cross-Stitch Networks for Multi-task Learning
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3. MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21
4. AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
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