2 papers
cs.LG2026
TEMPEST: Temporal Embeddings for Scalable Driver Identification via Angular Margin Learning
Kyle Musgrove, Dylan B. Lewis, Sarah Powers +2
Scalable driver identification requires embedding models that maintain discriminative performance as fleet size grows, yet existing triplet-loss formulations degrade rapidly with d…
cs.CV2026
Representation Selection via Cross-Model Agreement using Canonical Correlation Analysis
Dylan B. Lewis, Jens Gregor, Hector Santos-Villalobos
Modern vision pipelines increasingly rely on pretrained image encoders whose representations are reused across tasks and models, yet these representations are often overcomplete an…