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Layer adaptive node selection in Bayesian neural networks: Statistical guarantees, implementation details , journal = · 2023 · Neural Networks · DOI 10.1016/j.neunet.2023.08.029

1 Pith paper cite this work, alongside 12 external citations. Polarity classification is still indexing.

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cs.LG 1

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2026 1

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CONDITIONAL 1

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Neural Feature Governance: Extending Atom Prevalence

cs.LG · 2026-07-23 · conditional · novelty 5.0

NAP applies atom-prevalence selection to neurons, pruning 56–92% of nodes in tested feedforward networks with small accuracy loss, but its calibration claim fails on MNIST.

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  • Neural Feature Governance: Extending Atom Prevalence cs.LG · 2026-07-23 · conditional · none · ref 2

    NAP applies atom-prevalence selection to neurons, pruning 56–92% of nodes in tested feedforward networks with small accuracy loss, but its calibration claim fails on MNIST.