3 papers
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…
cs.LG2025
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
Haonan Zhu, Andre R. Goncalves, Camilo Valdes +10
This paper proposes a hierarchical Bayesian multitask learning model that is applicable to the general multi-task binary classification learning problem where the model assumes a s…