2 papers
cs.AI2026
Thomson: Continual Learning of Frontier Models for SovereignAI
Shengzhuang Chen, Jerrod Parker, Yejin Bang +23
The development of frontier models is commonly perceived to be the exclusive remit of a small number of heavily funded players, creating an information, economic and power asymmetr…
cs.LG2023
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber
Anomaly detection (AD) tasks have been solved using machine learning algorithms in various domains and applications. The great majority of these algorithms use normal data to train…