Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learningby Chendi Wang,…
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacyby Feng Wang, M. Cenk Gursoy, Senem…
Deep Learning in Earthquake Engineering: A Comprehensive Reviewby Yazhou XieFirst submitted to arxiv on: 15…
Modeling of Time-varying Wireless Communication Channel with Fading and Shadowingby Lee Youngmin, Ma Xiaomin, Lang…
Model Inversion Robustness: Can Transfer Learning Help?by Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao…
Large Language Model Enhanced Machine Learning Estimators for Classificationby Yuhang Wu, Yingfei Wang, Chu Wang,…
Spatial Transfer Learning with Simple MLPby Hongjian YangFirst submitted to arxiv on: 5 May 2024CategoriesMain:…
Stable Diffusion Dataset Generation for Downstream Classification Tasksby Eugenio Lomurno, Matteo D'Oria, Matteo MatteucciFirst submitted…
Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecastingby Daniel Frees,…
Individual Fairness Through Reweighting and Tuningby Abdoul Jalil Djiberou Mahamadou, Lea Goetz, Russ AltmanFirst submitted…