Adversarial Multitask Learning for Domain Adaptation Through Domain Adapter

Adversarial Multitask Learning for Domain Adaptation Through Domain Adapter

This study presents a technique called Adversarial Multitask Learning (AML) to enhance the effectiveness of domain adaptation methods in practical applications, which are currently highly sought after. The proposed approach addresses the challenges posed by domain shift by effectively managing multi...

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Bibliographic Details
Main Authors: Hidayaturrahman, Agung Trisetyarso, Iman Herwidiana Kartowisastro, Widodo Budiharto
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Domain adaptation
domain adversarial learning
office31
multitask learning
Online Access:https://ieeexplore.ieee.org/document/10781380/
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https://ieeexplore.ieee.org/document/10781380/

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