Flat-Consensus Diffusion for Robust Data Reshaping under Noisy Evaluator
Data shape determines how features are structured, how patterns are separated, and how distributions cover the underlying domain. Poor data shape can make models learn noise rather than generalizable structure. This paper studies robust feature-centric data reshaping: generating feature transformations that remain usef...
Hong-Yu Cao, Kun-Peng Liu, Fei Xie et al.
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