Meta-learning for deep stacked generalization improves stacking of heterogeneous vision backbones (CNNs, ViTs, and hybrids) to address multicollinearity and calibration issues
Read the original at arxiv.org→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...
Original headline: "CORE-STACK+: Meta-Learning for Deep Stacked Generalization"
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- Sep 24, 04:00 UTC arXiv cs.LG lead source CORE-STACK+: Meta-Learning for Deep Stacked Generalization