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文库首页安全技术网络安全远域迁移学习Distant Domain Transfer Learning=1This slide is based on A

远域迁移学习Distant Domain Transfer Learning=1This slide is based on A

迁移学习

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Jindong Wang | Distant Domain Transfer LearningWikipedia: research problem in ma

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Research center for Ubiquitous Computing System,

Institute of Computing Technology, Chinese Academy of Sciences

Distant Domain Transfer Learning

Jindong Wang

wangjindong@ict.ac.cn

May 2017

This slide is based on AAAI-17 paper: Ben Tan, Yu Zhao, Sinno Jialin Pan and

Qiang Yang: Distant domain transfer learning.

Content

Background of Transfer learning

Introduction

Author

DDTL: Distant Domain Transfer Learning

Selective Learning Algorithm for DDTL

Instance Selection via Reconstruction Error

Incorporation of Side Information

Learning Algorithm

Experiments and Analysis

Related Work

Conclusion

Jindong Wang | Distant Domain Transfer Learning

Background

What is transfer learning?

Problems

Building every model from scratch is time-consuming and

expensive.

But there are many existing knowledge. Can we reuse them?

Jindong Wang | Distant Domain Transfer Learning

Background

Brief

Common Deﬁnition

Wikipedia: research problem in machine learning that focuses on

storing knowledge gained while solving one problem and

applying it to a different but related problem [wik].

TL vs Traditional ML

Traditional ML:

Training and testing samples

must be in the same feature

distributions.

Training samples must be

enough.

Transfer learning:

Source and target

domains do not need to

be in the same

distributions.

Less training samples,

even none.

Jindong Wang | Distant Domain Transfer Learning

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