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General Discussion 2 - What does the OOD problem mean to you and your field? with Anima Anandkumar, Terry Sejnowski, Chris White: General Discussion 2
Anima Anandkumar · Terry Sejnowski · Weiwei Yang · Joshua T Vogelstein

Tue Dec 14 10:30 AM -- 11:30 AM (PST) @
in Out-of-distribution generalization and adaptation in natural and artificial intelligence »
Event URL: https://docs.neurodata.io/ood-workshop/panels?p=GeneralII »

Panelists: Anima Anandkumar, Chris White, Terry Sejnowski

Moderators: Joshua Vogelstein, Weiwei Yang

Questions:

  • What does the "Out of Distribution" (OOD) problem mean to you or your field?
  • Why is the OOD problem important?
  • What insights did you gain from previous work that might help with solving the OOD problem and successfully applying it to tackle real world challenges?
  • What do you think the ideal role of AI is in our life?
  • What set of achievements or breakthroughs need to happen to bridge the gap between ML's current role and its ideal role?

Author Information

Anima Anandkumar (NVIDIA / Caltech)

Anima Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of large-scale machine learning. In particular, she has spearheaded research in tensor-algebraic methods, non-convex optimization, probabilistic models and deep learning. Anima is the recipient of several awards and honors such as the Bren named chair professorship at Caltech, Alfred. P. Sloan Fellowship, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, a visiting researcher at Microsoft Research New England in 2012 and 2014, an assistant professor at U.C. Irvine between 2010 and 2016, an associate professor at U.C. Irvine between 2016 and 2017 and a principal scientist at Amazon Web Services between 2016 and 2018.

Terry Sejnowski (Salk)
Weiwei Yang (Microsoft Research Redmond)
Joshua T Vogelstein (The Johns Hopkins University)

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