Name: Automated Machine Learning and Meta-Learning for Multimedia
Price: 988.89 RON
Availability: OnlineOnly
Author: Wenwu Zhu
ISBN: 9783030881344

Automated Machine Learning and Meta-Learning for Multimedia

Wenwu Zhu

Xin Wang

This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry.

This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.

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Notă biografică

Dr. Qi Wu is Senior Lecturer at the University of Adelaide and Chief Investigator at the ARC Centre of Excellence for Robotic Vision. He is also Director of Vision-and-Language Methods at the Australian Institute for Machine Learning. Dr Wu has been in the Computer Vision field for 10 years and he has a strong track record, having pioneered the field of Vision-and-Language, one of the most interesting and technically challenging areas of Computer Vision. This area, which has emerged over the last 5 years, represents the application of computer vision technology to problems that are closer to Artificial Intelligence. Dr Wu has made breakthroughs in methods and conceptual understanding to advance the field and is recognised as an international leader in the discipline. Beyond publishing some of the seminal papers in the area, he has organised a series of workshops in CVPR, ICCV and ACL. and authored key benchmarks that define the field. Recently, he led a team that won second place in VATEX Video Captioning Challenge, the first place in both TextVQA Challenge and MedicalVQA Challenge. His achievements have been recognised with the Australian Academy of Science J G Russel Award in 2019, one of four awards to ECRs across Australia; and an NVIDIA Pioneer Research Award. Dr. Peng Wang is Professor at the School of Computer Science, Northwestern Polytechnical University, China. He previously served at the School of Computer Science, University of Adelaide, for four years. His research interests include computer vision, machine learning, and artificial intelligence. Dr. Xin Wang is currently Assistant Professor at the Department of Computer Science and Technology, Tsinghua University. His research interests include cross-modal multimedia intelligence and inferable recommendations in social media. He has published several high-quality research papers for top conferences including ICML, KDD, WWW, SIGIR ACM Multimedia, etc. In addition to being selected for the 2017 China Postdoctoral innovative talents supporting program, he received the ACM China Rising Star Award in 2020. Dr. Xiaodong He is Deputy Managing Director of JD AI Research; Head of the Deep Learning, NLP and Speech Lab; and Technical Vice President of JD.com. He is also Affiliate Professor at the University of Washington (Seattle), where he serves on doctoral supervisory committees. His research interests are mainly in artificial intelligence areas including deep learning, natural language, computer vision, speech, information retrieval, and knowledge representation. He has published more than 100 papers in ACL, EMNLP, NAACL, CVPR, SIGIR, WWW, CIKM, NIPS, ICLR, ICASSP, Proc. IEEE, IEEE TASLP, IEEE SPM, and other venues. He has received several awards including the Outstanding Paper Award at ACL 2015. He is Co-inventor of the DSSM, which is now broadly applied to language, vision, IR, and knowledge representation tasks. He also led the development of the CaptionBot, the world-first image captioning cloud service, deployed in 2016. He and colleagues have won major AI challenges including the 2008 NIST MT Eval, IWSLT 2011, COCO Captioning Challenge 2015, and VQA 2017. His work has been widely integrated into influential software and services including Microsoft Image Caption Services, Bing & Ads, Seeing AI, Word, and PowerPoint. He has held editorial positions with several IEEE journals, served as Area Chair for NAACL-HLT 2015 and served on the organizing committees/program committees of major speech and language processing conferences. He is IEEE Fellow and Member of the ACL. Wenwu Zhu is currently Professor in the Department of Computer Science and Technology at Tsinghua University and Vice Dean of National Research Center for Information Science and Technology. Prior to his current post, he was Senior Researcher and Research Manager at Microsoft Research Asia. He was Chief Scientist and Director at Intel Research China from 2004to 2008. He worked at Bell L

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