Overview

Despite the substantial benefits from using synthetic data, the process of synthetic data generation is still an ongoing technical challenge. Although the two scenarios of limited data and privacy concerns share similar technical challenges such as quality and fairness, they are often studied separately. This workshop aims at the intersection of these challenges of synthetic data generation, and hopes to shine a light on the solutions that address these challenges. The 1st Synthetic Data Generation workshop will be a virtual workshop at ICLR 2021, May 8, 2021. Our goal is to advance the general discussion of the topic by highlighting contributions proposing innovative approaches integrating quality, privacy and bias aspects of synthetic data generation.

Submission February 26, 2021 (Anywhere on Earth)
Notification March 26, 2021
Submission link link
Workshop May 8, 2021

Speakers & Panelists

Manuela M. Veloso
Manuela M. Veloso
J.P.Morgan, CMU
Jan Kautz
Jan Kautz
NVIDIA
Sander Dieleman
Sander Dieleman
DeepMind
Mihaela van der Schaar
Mihaela van der Schaar
University of Cambridge, The Alan Turing Institute, UCLA
Stefano Ermon
Stefano Ermon
Stanford University
Jinsung Yoon
Jinsung Yoon
Google Cloud AI
Emily Denton
Emily Denton
Google’s Ethical AI team
More Info

Organizers

Haipeng Chen
Haipeng Chen
Harvard University
Edward Choi
Edward Choi
KAIST
Jamie Hayes
Jamie Hayes
DeepMind
Mario Fritz
Mario Fritz
CISPA Helmholtz Center for Information Security, Saarland University
Rachel Cummings
Rachel Cummings
Georgia Tech

Program Committee

TBA



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