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CORE-STACK+: Meta-Learning for Deep Stacked Generalization

arXiv:2609.26905v1 Announce Type: new Abstract: Stacking heterogeneous vision backbones (CNNs, ViTs, and hybrids) is the de facto recipe for accuracy, calibration, and robustness, yet two coupled pathologies limit its returns. Prediction-space multicollinearity ill-conditions the meta-learner's Gra…

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  1. 2026-09-24 04:00 · arXiv cs.LG
    CORE-STACK+: Meta-Learning for Deep Stacked Generalization

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