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SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks

arXiv — cs.LG•Monday, November 3, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
SmartMixed is an innovative two-phase training strategy designed to enhance neural networks by allowing them to learn optimal activation functions for each neuron. This approach addresses a significant limitation in current architectures that typically use fixed activation functions, which can hinder performance. By enabling adaptive selection from a pool of candidate functions, SmartMixed not only improves the efficiency of neural networks but also maintains computational effectiveness during inference. This advancement could lead to more powerful and flexible AI systems, making it a noteworthy development in the field.
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