AI RESEARCH
PLS in the Mirror of Self-Attention
arXiv CS.LG
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ArXi:2605.28592v1 Announce Type: new This note provides an interesting observation on casting partial least square (PLS) as a linearized self-attention so that PLS may be studied within the neural network paradigm. On the other hand, the dimensionality reduction and selection of predictors in PLS may indicate that self-attention includes certain degree of dimensionality normalization toward improved learning.