ICLR 2024 Workshop
Bridging the Gap Between Practice and Theory in Deep Learning
Vienna, Austria
May 11, 2024
About the workshop
The success of deep learning practices has driven the rapid development of learning theory. However, recent studies have pointed out that contrasting scenarios and conclusions exist between many existing theories and their corresponding real-world applications, leading to a significant gap.
This workshop aims to bridge this gap by (i) troubleshooting unnoticed gaps between learning theory and practice and (ii) narrowing the existing ones by developing new analyses. We hope that this workshop will not only raise awareness of the challenges in bridging the gap between theory and practice in deep learning but also inspire new solutions and insights that contribute to the advancement of deep learning.
Please see call for papers for details.
Organizers
Christa Cuchiero
Professor
Vienna University
Wei Chen
Professor
Chinese Academy of Sciences
Hadi Daneshmand
Postdoc
MIT
Stefanie Jegelka
Professor
TU Munich
Zelda Mariet
Senior research scientist
Google DeepMind
Andre Niyongabo Rubungo
Ph.D. student
Princeton University
Jiaye Teng
Ph.D. student
Tsinghua University
Bohan Wang
Ph.D. student
MSR Asia & USTC
Bohang Zhang
Ph.D. student
Peking University
Jingzhao Zhang
Assistant Professor
Tsinghua University
Contact the organizers: workshopbgpt@gmail.com