AI RESEARCH
Supporting Evidence for the Adaptive Feature Program across Diverse Models
arXiv CS.LG
•
ArXi:2511.09425v3 Announce Type: replace Theoretically exploring the advantages of neural networks might be one of the most challenging problems in the AI era. An adaptive feature program has recently been proposed to analyze feature learning, the characteristic property of neural networks, in a abstract way. Motivated by the celebrated Le Cam equivalence, we advocate the over-parameterized sequence models to further simplify the analysis of the