Learning from Ambiguous Data with Hard Labels

Zeke Xie, Zheng He, Nan Lu +5

Real-world data often contains intrinsic ambiguity that the common single-hard-label annotation paradigm ignores. Standard training using ambiguous data with these hard labels may…