FICBO pretrains a feedback-aware transformer with a structured prior on feedback distortion to adaptively exploit or ignore unreliable auxiliary signals during in-context black-box optimization.
Evalu- ating the search phase of neural architecture search
3 Pith papers cite this work. Polarity classification is still indexing.
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A screening rule skips evolutionary outer loops when the ratio of best single-shot gain to best cheap gain meets or exceeds 90%, validated on pre-registered lab cases where the gate fired and loops were abandoned.
A survey of Spiking Neural Network architecture search techniques viewed through a hardware/software co-design lens.
citing papers explorer
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In-Context Black-Box Optimization with Unreliable Feedback
FICBO pretrains a feedback-aware transformer with a structured prior on feedback distortion to adaptively exploit or ignore unreliable auxiliary signals during in-context black-box optimization.
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Knowing in Advance When an Evolutionary Outer Loop Will Not Help: A Pre-Registered Cheap-Baseline Screening Rule
A screening rule skips evolutionary outer loops when the ratio of best single-shot gain to best cheap gain meets or exceeds 90%, validated on pre-registered lab cases where the gate fired and loops were abandoned.
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Spiking Neural Network Architecture Search: A Survey
A survey of Spiking Neural Network architecture search techniques viewed through a hardware/software co-design lens.