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cs.LG2026
CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation
Sanghyuk Chun, William Yang, Amaya Dharmasiri +1
Uncertainty estimation has been a long-standing challenge in AI models; it amounts to "knowing what you don't know," and metacognition is notoriously difficult even for humans (cf.…
cs.LG2025★ 1 cited
Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning
Sanghyuk Chun, Olga Russakovsky
Multimodal learning has seen remarkable progress, particularly with large-scale pre-training across various modalities. Most current approaches are built on the assumption of a det…