CSIG-VIS International Lecture Series 3
    Prof. Michael Gleicher | Interpreting Embeddings with Comparison


    Speaker: Prof. Michael Gleicher

    University of Wisconsin-Madison, USA

    Topic: Interpreting Embeddings with Comparison

    Time: Oct. 21, 2021 9:00-10:30,2021 (China Standard Time)

    Abstract: Vector embeddings place objects (e.g., documents or words) in a vector space such that similar objects are close. Embeddings can abstract information from data collections and have wide usage in fields such as machine learning, and natural language processing. However, embeddings are challenging to interpret, which limits the use of embeddings as a tool for understanding the underlying data or the performance of the methods that construct embeddings. In this talk, I will survey our work in building visualization tools that address challenges in interpreting embeddings. I will use the idea of comparison as a strategy for designing data analysis tools. I will introduce our framework for thinking about comparison, and show how we used this framework in the design of tools for embedding challenges. I will provide examples of tools for examining and comparing both document embeddings (e.g., topic models) and word vector embeddings.

    Speaker Bio: Michael Gleicher is a Professor in the Department of Computer Sciences at the University of Wisconsin, Madison. Prof. Gleicher is founder of the Department’s Visual Computing Group. He co-directs both the Visual Computing Laboratory and the Collaborative Robotics Laboratory at UW-Madison. His research interests span the range of visual computing, including data visualization, robotics, and virtual reality. Prior to joining the University, Prof. Gleicher was a researcher at The Autodesk Vision Technology Center and in Apple Computer’s Advanced Technology Group. He earned his Ph. D. in Computer Science (1994) from Carnegie Mellon University, and holds a B.S.E. in Electrical Engineering from Duke University (1988). In 2013-2014, he was a visiting researcher at INRIA Rhone-Alpes. Prof. Gleicher is an ACM Distinguished Scientist.

    Live Stream： http://live.bilibili.com/23327855

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    Session Chair: Min Zhu

    Sichuan University

    Session Chair Bio: Prof. Min Zhu received her Ph.D. from Sichuan University in applied mathematics. She is currently the deputy secretary in the College of Computer Science, Sichuan University. Prof. Zhu established the Visual Computing Laboratory in 2009 and is the leader of this lab. Her research interests include bioinformatics, information visualization and visual analysis, image processing, and urban computing, etc. She won the Science and Technology Progress Award of MOE, the Sichuan Science and Technology Progress Award, the Chengdu Science and Technology Progress Award, etc.







    About Us

    Webpage: http://chinavis.org/lectures/english/index_en.html
    Email：csig_vis_forum@163.com

    About CSIG-VIS

    The China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics (CSIG-VIS) is the first technical committee on visualization and visual analytics in China. The technical committee aims to develop a communication platform for stakeholders in academia and industry, to discuss the trends and opportunities in the era of big data, to promote the discipline development and talent cultivation, to push forward the research and applications in the related disciplines, and ultimately to build a sustainable ecosystem involving industry, universities, and other research institutes. The technical committee, officially established on December 23, 2017, already attracts more than 100 members from various affiliations, including domestic and international universities and companies.

    About The CSIG-VIS International Lecture Series

    The CSIG-VIS International Lecture Series, launched by the China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics, invites renowned experts to share their visions of the research trends and latest progress in visualization. These biweekly lectures are conducted in Thursday, and please refer to http://chinavis.org /lectures/english/index_en.html for details.