OTL: A Framework of Online Transfer Learning

By Peilin Zhao, Steven C. H. Hoi. 2010

115 citations recorded by the source corpus.

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Citations in the corpus

A Comprehensive Survey on Transfer Learning (2019, background): “Some interesting transfer learning topics are not covered in this survey, such as reinforcement transfer learning [8], lifelong transfer learning [9], and online transfer learning [10].”
Online Learning: A Comprehensive Survey (2018, methodology): “Online Transfer Learning (OTL) algorithms aim to learn a classifier f : Rd → R from a well-trained classifier h : Rd′ → R in the source domain and a group of sequentially arriving instances xt ∈ Rd, t = 1, ..., T in the target domain.”
Feature-based transfer learning with real-world applications (2010, background): “In [227], Zhao and Hoi investigated a framework to transfer knowledge from a source domain to an online learning task in a target domain.”
On handling negative transfer and imbalanced distributions in multiple source transfer learning (2014, methodology): “OL, which updates training model incrementally, has been extensively studied for years [19–23].”
Online Transfer Learning in Reinforcement Learning Domains (2015, background): “Zhao and Hoi propose an online transfer learning framework in supervised learning (Zhao and Hoi 2010), aiming to transfer useful knowledge from some source domain to an online learning task on a target domain.”
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs (2015, background): “Transfer learning is a machine learning paradigm which aims at borrowing knowledge from a related domain to help build an accurate classifier in the target domain, where the labeled data in the target domain is very limited [9].”
Classifier adaptation at prediction time (2015, background): “use online transfer learning [26] to adapt a deformable part model to a new distribution.”