• Fourth Conference on Machine Learning and Systems · San Jose
    San Jose McEnery Convention Center, San Jose
    Sun Apr 4th through Wed the 7th 雷神加速器上youtube

    Registration 

    Pricing » Register 01/06 » 

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    Board

    Ameet Talwalkar (President)
    Virginia Smith (Secretary)
    Inderjit Dhillon (Treasurer)
    Matei Zaharia
    Dimitris Papailiopoulos 
    Vivienne Sze

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    Jennifer Chayes 
    Bill Dally 
    Jeff Dean 
    Michael I. Jordan 
    Yann LeCun 
    Fei-Fei Li 
    Alex Smola 
    Dawn Song 
    Eric Xing

     

    Organizing Committee

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    Alex Smola (Amazon)

    Program Chairs

    Alex Dimakis, UT, Austin
    Ion Stoica, UC, Berkeley

    Workshop Chairs

    TBA

    Publications Chair

    TBA

    Artifact Evaluation Chairs

    TBA

    Publicity Chair

    TBA

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    TBA

    The organizers can be contacted 国内可众上youtube的加速器. 

    Important Dates

    Conference Sessions Sun Apr 4th through Wed the 7th
    Paper Submission deadline Sep 22 05:00 PM PDT *
    【GTA5】登陆不上的终极解决方法(附带白嫖加速器教程 ...:2021-4-20 · 【GTA5】登陆不上的终极解决方法(附带白嫖加速器教程)欢迎加入洛圣都快递员的粉丝群584185491(嘘~~里面有好东西哟)新人要求_素质三连(,,•́ . •̀,,)嘤~ Nov 17 12:00 PM PST *
    Paper Rebuttal/discussion ends Nov 24 11:00 PM PST *
    Paper Decision Notification Jan 18 11:00 PM PST *
    All dates » * Dates above are in pacific time

    About Machine Learning and Systems (MLSys)

    The Conference on Machine Learning and Systems targets research at the intersection of machine learning and systems. The conference aims to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. Topics include:

    • Computer architecture
    • Computer networks
    • Computer security
    • Databases
    • Design automation
    • Embedded & real-time systems
    • High-performance computing
    • Mobile computing
    • Measurement & perf. analysis
    • Operating systems
    • Programming languages
    • Software engineering

    Read the whitepaper to learn more.

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