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General Discussion 1 - What is out of distribution (OOD) generalization and why is it important? with Yoshua Bengio, Leyla Isik, Max Welling
Yoshua Bengio · Leyla Isik · Max Welling · Joshua T Vogelstein · Weiwei Yang

Tue Dec 14 06:15 AM -- 07:15 AM (PST) @
in Out-of-distribution generalization and adaptation in natural and artificial intelligence »
Event URL: https://docs.neurodata.io/ood-workshop/panels?p=GeneralI »

A panel discussion around what is "Out of Distribution" (OOD) problem and why is the OOD problem important?

Panelists: Yoshua Bengio, Leyla Isik, Max Welling

Moderators: Joshua Vogelstein, Weiwei Yang

Author Information

Yoshua Bengio (Mila / U. Montreal)

Yoshua Bengio is Full Professor in the computer science and operations research department at U. Montreal, scientific director and founder of Mila and of IVADO, Turing Award 2018 recipient, Canada Research Chair in Statistical Learning Algorithms, as well as a Canada AI CIFAR Chair. He pioneered deep learning and has been getting the most citations per day in 2018 among all computer scientists, worldwide. He is an officer of the Order of Canada, member of the Royal Society of Canada, was awarded the Killam Prize, the Marie-Victorin Prize and the Radio-Canada Scientist of the year in 2017, and he is a member of the NeurIPS advisory board and co-founder of the ICLR conference, as well as program director of the CIFAR program on Learning in Machines and Brains. His goal is to contribute to uncover the principles giving rise to intelligence through learning, as well as favour the development of AI for the benefit of all.

Leyla Isik (Massachusetts Institute of Technology)
Max Welling (University of Amsterdam / Qualcomm AI Research)
Joshua T Vogelstein (The Johns Hopkins University)
Weiwei Yang (Microsoft Research Redmond)

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