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SUMMARY:IC Colloquium: Green AI
DTSTART:20221212T161500
DTEND:20221212T173000
DTSTAMP:20260407T145549Z
UID:1da730f591245a698039f3a989c6cc211c30fcb8737866e1266b5fe4
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Roy Schwartz - Hebrew University of Jerusalem\nVideo of hi
 s talk\n\nAbstract\nThe computations required for deep learning research h
 ave been doubling every few months\, resulting in an estimated 5\,000x inc
 rease from 2018 to 2022. This trend has led to unprecedented success in a 
 range of AI tasks. In this talk I will discuss a few troubling side-effect
 s of this trend\, touching on issues of lack of inclusiveness within the r
 esearch community\, and an increasingly large environmental footprint.\n\n
 I will then present Green AI – an alternative approach to help mitigate 
 these concerns. Green AI is composed of two main ideas: increased reportin
 g of computational budgets\, and making efficiency an evaluation criterion
  for research alongside accuracy and related measures. I will focus on the
  latter topic\, discussing various recent approaches for reducing the comp
 utational cost of AI\, some based on sample efficiency\, others on more ef
 ficient mathematical modeling\, and also on methods for adaptive computati
 on.\n\nThis is joint work with André F. T. Martins\, Betty van Aken\, Col
 in Raffel\, Dani Yogatama\, Daniel Rotem\, Edwin Simpson\, Emma Strubell\,
  Erika Odmark\, Gabriel Stanovsky\, Hannaneh Hajishirzi\, Hao Peng\, Ivan 
 Montero\, Jesse Dodge\, Ji-Ung Lee\, Jungo Kasai\, Kenneth Heafield\, Leon
  Derczynski\, Lingpeng Kong\, Manuel R. Ciosici\, Marcos Treviso\, Michael
  Elhadad\, Michael Hassid\, Nicholas Lourie\, Nicole DeCario\, Nikolaos Pa
 ppas\, Niranjan Balasubramanian\, Noah A. Smith\, Noam Slonim\, Oren Etzio
 ni\, Pedro H. Martins\, Peter Milder\, Qingqing Cao\, Remi Tachet des Comb
 es\, Sara Hooker\, Sasha Luccioni\, Swabha Swayamdipta\, Taylor Prewitt\, 
 Tianchu Ji\, Will Buchanan\, Yejin Choi\, Yizhong Wang\, Yonatan Bitton an
 d Zhaofeng Wu.\n\nBio\nRoy Schwartz is a senior lecturer (assistant profes
 sor) at the School of Computer Science and Engineering at The Hebrew Unive
 rsity of Jerusalem (HUJI). Roy studies natural language processing and art
 ificial intelligence. Prior to joining HUJI\, Roy was a postdoc (2016-2019
 ) and then a research scientist (2019-2020) at the Allen institute for AI 
 and at the School of Computer Science and Engineering at The University of
  Washington\, where he worked with Noah A. Smith. Roy completed his Ph.D. 
 in 2016 at the School of Computer Science and Engineering at HUJI\, where 
 he worked with Ari Rappoport. Roy’s work has appeared on the cover of th
 e CACM magazine\, and has been featured\, among others\, in the New York T
 imes\, MIT Tech Review\, and Forbes.\n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420 https://epfl.zoom.us/
 j/65602678541?pwd=SUJlek51SU40clpKMHBBRW5zSWtPUT09
STATUS:CONFIRMED
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