Summary of Reconstructing Training Data From Real World Models Trained with Transfer Learning, by Yakir Oz et al.
Reconstructing Training Data From Real World Models Trained with Transfer Learningby Yakir Oz, Gilad Yehudai,…
Reconstructing Training Data From Real World Models Trained with Transfer Learningby Yakir Oz, Gilad Yehudai,…
A Survey on Trustworthiness in Foundation Models for Medical Image Analysisby Congzhen Shi, Ryan Rezai,…
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Modelsby Simen Eide, Arnoldo FrigessiFirst submitted…
Performance Evaluation of Lightweight Open-source Large Language Models in Pediatric Consultations: A Comparative Analysisby Qiuhong…
Overfitting In Contrastive Learning?by Zachary Rabin, Jim Davis, Benjamin Lewis, Matthew ScherreikFirst submitted to arxiv…
A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communitiesby Craig Pirie,…
SmartQuant: CXL-based AI Model Store in Support of Runtime Configurable Weight Quantizationby Rui Xie, Asad…
Long Input Sequence Network for Long Time Series Forecastingby Chao Ma, Yikai Hou, Xiang Li,…
Semantic Prototypes: Enhancing Transparency Without Black Boxesby Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis, Edmund Dervakos,…
A reinforcement learning strategy to automate and accelerate h/p-multigrid solversby David Huergo, Laura Alonso, Saumitra…