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.
Professor
Vienna University
Professor
Chinese Academy of Sciences
Postdoc
MIT
Professor
TU Munich
Senior research scientist
Google DeepMind
Ph.D. student
Princeton University
Ph.D. student
Tsinghua University
Ph.D. student
MSR Asia & USTC
Ph.D. student
Peking University
Assistant Professor
Tsinghua University
Contact the organizers: workshopbgpt@gmail.com