2 papers
cs.CV2026
Context Sensitivity Improves Human-Machine Visual Alignment
Frieda Born, Tom Neuhäuser, Lukas Muttenthaler +6
Modern machine learning models typically represent inputs as fixed points in a high-dimensional embedding space. While this approach has been proven powerful for a wide range of do…
cs.LG2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
Yanlai Yang, Matt Jones, Michael C. Mozer +1
We explore the training dynamics of neural networks in a structured non-IID setting where documents are presented cyclically in a fixed, repeated sequence. Typically, networks suff…