Learn2Synth: Learning Optimal Data Synthesis using Hypergradients for Brain Image Segmentationby Xiaoling Hu, Xiangrui Zeng,…
Boosting 3D Object Generation through PBR Materialsby Yitong Wang, Xudong Xu, Li Ma, Haoran Wang,…
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecastingby Liran Nochumsohn, Michal Moshkovitz, Orly Avner,…
Tackling Data Heterogeneity in Federated Time Series Forecastingby Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc…
Learning Fair Robustness via Domain Mixupby Meiyu Zhong, Ravi TandonFirst submitted to arxiv on: 21…
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformersby Hojjat Karami, David Atienza, Anisoara…
Utilizing Large Language Models to Synthesize Product Desirability Datasetsby John D. Hastings, Sherri Weitl-Harms, Joseph…
Data-to-Model Distillation: Data-Efficient Learning Frameworkby Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri…
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models – A review and challenges…
Regular-pattern-sensitive CRFs for Distant Label Interactionsby Sean Papay, Roman Klinger, Sebastian PadoFirst submitted to arxiv…