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cs.LG2025
Probabilistic Variational Contrastive Learning
Minoh Jeong, Seonho Kim, Alfred Hero
Deterministic embeddings learned by contrastive learning (CL) methods such as SimCLR and SupCon achieve state-of-the-art performance but lack a principled mechanism for uncertainty…
cs.LG2025
Generalizing Supervised Contrastive learning: A Projection Perspective
Minoh Jeong, Alfred Hero
Self-supervised contrastive learning (SSCL) has emerged as a powerful paradigm for representation learning and has been studied from multiple perspectives, including mutual informa…