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cs.LG2026
How Label Imbalance Shapes Geometry: A General Spectral Analysis of Multi-Label Neural Collapse
Xiaoxuan Ma, Yixuan Yang, Song Li +1
This work investigates the phenomenon of Neural Collapse (NC) in multi-label classification, extending its conceptual framework from multi-class learning to general correlated and…
cs.LG2026
Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
Yixuan Yang, Mehak Arora, Ryan Zhang +10
Joint-embedding predictive architectures (JEPA) learn representations by predicting in latent space, as in computer vision; retaining the action-conditioned predictor at inference…