Nature

Statistical Learning Theory and Generalization Bounds

Statistical Learning Theory provides a mathematical framework for understanding how algorithms infer predictive rules from data. At its core lies the notion of risk: the expected loss of a model on ...
Harvard Business School

Quantifying Generalization Complexity for Large Language Models

Qi, Zhenting, Hong Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Himabindu Lakkaraju, and James Glass. "Quantifying Generalization Complexity for Large Language Models." Proceedings of ...
InfoQ

CMU Develops Algorithm for Guaranteeing AI Model Generalization

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Nature

Fine art image classification and design methods integrating lightweight deep learning

This study proposes an efficient fine art image classification method integrating lightweight deep learning to address the limitations of low efficiency and poor generalization in art image ...