Reinforced adaptation network for partial domain adaptation

• Main Authors: WU, Keyu, WU, Min, CHEN, Zhenghua, JIN, Ruibing, CUI, Wei, CAO, Zhiguang, LI, Xiaoli
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Adaptation models; Reinforcement learning; Knowledge transfer; Training; Data models; Task analysis; Minimization; Deep reinforcement learning; partial domain adaptation; domain adaptation; transfer learning; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/8121; https://ink.library.smu.edu.sg/context/sis_research/article/9124/viewcontent/REINFORCED.pdf
• Institution: Singapore Management University

Domain adaptation enables generalized learning in new environments by transferring knowledge from label-rich source domains to label-scarce target domains. As a more realistic extension, partial domain adaptation (PDA) relaxes the assumption of fully shared label space, and instead deals with the sc...