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Dual Learning

Author:   Tao Qin
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2020
ISBN:  

9789811588839


Pages:   190
Publication Date:   14 November 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Our Price $422.37 Quantity:  
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Dual Learning


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Full Product Details

Author:   Tao Qin
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2020
Weight:   0.475kg
ISBN:  

9789811588839


ISBN 10:   981158883
Pages:   190
Publication Date:   14 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1. Introduction.- Chapter 2. Machine Learning Basics.- Chapter 3. Deep Learning Basics.- Chapter 4. Dual Learning for Machine Translation and Beyond.- Chapter 5. Dual Learning for Image Translation and Beyond.- Chapter 6. Dual Learning for Speech Processing and Beyond.- Chapter 7. Dual Supervised Learning.- Chapter 8. Dual Inference. Chapter 9. Marginal Probability based Dual Semi-supervised Learning.- Chapter 10. Understanding Dual Reconstruction.- Chapter 11. Connections to Other Learning Paradigms.- Chapter 12. Summary and Outlook.

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Author Information

Dr. Tao Qin is a Senior Principal Researcher and Manager at Microsoft Research Asia, and an Adjunct Professor (PhD advisor) at the University of Science and Technology of China. He coined the term dual learning together with his colleagues, and has published numerous papers on the topic in Neur IPS/ICLR/ICML/AAAI/IJCAI/CVPR/ACL/EMNLP/NAACL. His research interests include machine learning (with the focus on deep learning and reinforcement learning), artificial intelligence (with applications to language understanding, speech processing and computer vision), game theory and multi-agent systems (with applications to cloud computing, online and mobile advertising, ecommerce), information retrieval and computational advertising. Dr. Qin has published over 100 refereed papers at prestigious conferences such asNeur IPS, ICML, ICLR, AAAI, IJCAI, AAMAS, ACL, EMNLP, NAACL, KDD, WWW, SIGIR, WSDM, JAIR, EC, WINE, and ACM Transactions. He served/is serving as Area Chair for AAAI, IJCAI, EMNLP, AAMAS, SIGIR and ACML, Workshop Chair for WWW 2020, and Industry Chair for DAI 2019. He is a Senior Member of the IEEE and ACM.

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