Call For Papers

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. We invite researchers to submit papers that discuss challenges and advances in synthetic data generation, including but not limited to the following topics.

• Novel synthetic data generation methods for tabular, time-series, events, network, and unstructured data including images, speech, and text

• Additional considerations on the synthetic data generation such as privacy, fairness, and explainability

• Metrics for evaluating the quality of synthetic data for fidelity, downstream task performance, and others.

• Handling mixed-type datasets such as tabular data with both categorical and continuous variables

• Synthetic data generation to augment rare samples or limited labeled data

• Retaining semantic meaning of original samples in the synthetic data

• Discussion on datasets/applications/benchmarks to propel this research area forward

IMPORTANT DATES:

Paper submission:                   11:59 pm (anywhere on earth),  October 26, 2023  (October 19th, 2023)

Acceptance Notification:     October 27, 2023  (rolling acceptances from Nov 6, 2023)

Workshop:                      Nov 27, 2023

• Format: Extended abstract (4 pages limit excluding references), short paper (6 pages limit excluding references)

• Templates:

  • LaTeX template: [click here] (use the sigconf template)

  • ACM Microsoft Word template: [download here]

Submission Process

In addition to the paper content (PDF document), the paper title, author names, contact details, and the text, a brief abstract must be submitted electronically through the workshop's submission site. 

**  At least one author of each accepted paper is required to attend the conference to present the work **

Review Process

This workshop will follow a single-blind review process, meaning that the authors’ identities will be known to the reviewers, but the reviewers’ identities will not be known to the authors.

There will be no rebuttal period.

Policy on multiple submissions and pre-publication

Please do not submit any paper that at the time of submission is already published or accepted for publication in a journal or other archival publication. Questions about submission eligibility should be referred to the program chairs in advance of the submission deadline.

Submitted papers may have appeared previously as a technical report or in other non-archival venues. Specific examples of permissible venues include ICML workshops, NeurIPS workshops, AAAI workshops, and arXiv. Questions concerning acceptable pre-publication venues should be directed to the program chairs.

All submissions will be treated with strict confidentiality until published.

The workshop is non-archival and will not have official proceedings. However, accepted papers will be linked on our website.