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