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ai@NYU
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    • AI RESEARCH SHORT TALKS
    • CILVR SEMINAR SERIES
    • DATA SCIENCE LUNCH SEMINAR
    • MATH AND DATA SCIENCE (MAD) SEMINAR
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Past Events

  • Tuning GPT-3 on a Single GPU via Zero-Shot Hyperparameter Transfer

    Date: Wednesday, May 4, 2022, 06:30PM
    Speaker: Greg Yang
    Location: 60FA, Room 7th Floor Open Space
  • CDS Seminar: Socially-aware ML via Influence Functions

    Date: Wednesday, May 4, 2022, 04:30PM
    Speaker: Ashia Wilson
    Location: ONLI
  • CILVR Seminar: Towards Language Technology for a Truly Multilingual World?

    Date: Tuesday, May 3, 2022, 08:00PM
    Speaker: Ivan Vulić
    Location: 60FA, Room 7th Floor Open Space
  • CDS Lunch Seminar

    Date: Wednesday, April 27, 2022, 04:30PM
    Speaker: Yasaman Bahri
    Location: ONLI
  • NLP/Text-As-Data: "Progress in Dynamic Adversarial Data Collection"

    Date: Thursday, April 21, 2022, 08:00PM
    Speaker: Douwe Kiela
    Location: 60FA, Room 7th Floor Open Space
  • MaD Seminar: Conformal prediction beyond exchangeability

    Date: Thursday, April 21, 2022, 03:00PM
    Speaker: Rina F. Barber
    Location: 60FA, Room 7th Floor Open Space
  • CDS Seminar: Machine Learning Research Applications During the First Year of the COVID-19 Pandemic

    Date: Wednesday, April 20, 2022, 04:30PM
    Speaker: Maimuna Majumder
    Location: ONLI
  • CILVR Seminar: Towards Real-World Meta-Learning

    Date: Tuesday, April 19, 2022, 08:00PM
    Speaker: Hae Beom Lee
    Location: ONLI
  • CS Colloquium: On the Benefits of Convolutional Models: a Kernel Perspective

    Date: Tuesday, April 19, 2022, 06:00PM
    Speaker: Alberto Bietti
    Location: 60FA, Room 150
  • NYU NLP/Text-As-Data Speaker: "Why natural language is the right vehicle for complex reasoning"

    Date: Thursday, April 14, 2022, 08:00PM
    Speaker: Greg Durrett
    Location: 60FA, Room 7th Floor Open Space
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New York University is committed to maintaining an environment that encourages and fosters respect for individual values and appropriate conduct among all persons. In all University spaces—physical and digital—programming, activities, and events are carried out in accordance with applicable law as well as University policy, which includes but is not limited to its Non-Discrimination and Anti-Harassment Policy.