Summary of Learning From Synthetic Data For Visual Grounding, by Ruozhen He et al.
Learning from Synthetic Data for Visual Groundingby Ruozhen He, Ziyan Yang, Paola Cascante-Bonilla, Alexander C.…
Learning from Synthetic Data for Visual Groundingby Ruozhen He, Ziyan Yang, Paola Cascante-Bonilla, Alexander C.…
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?by Ileana Montoya Perez, Parisa Movahedi, Valtteri…
Structured Evaluation of Synthetic Tabular Databy Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt, Ken Swanson,…
A survey of synthetic data augmentation methods in computer visionby Alhassan Mumuni, Fuseini Mumuni, Nana…
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcareby Chia-Hao Li, Niraj K. JhaFirst…
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Databy Miguel Fuentes, Brett Mullins, Ryan…
Quantifying and Mitigating Privacy Risks for Tabular Generative Modelsby Chaoyi Zhu, Jiayi Tang, Hans Brouwer,…
AutoEval Done Right: Using Synthetic Data for Model Evaluationby Pierre Boyeau, Anastasios N. Angelopoulos, Nir…
Fake or Compromised? Making Sense of Malicious Clients in Federated Learningby Hamid Mozaffari, Sunav Choudhary,…
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Modelsby Esmaeil Seraj,…