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Heavy Tailed Activation Function

technology1 mentionslast seen Oct 22, 2026

A smooth approximation to the Heaviside function that enables stable training with gradient-based optimization.

Relationships 6

Implicit Concept Bottleneck Modeldepends onHeavy Tailed Activation Function93% confidence1 source
Heavy Tailed Activation Functioncomposed ofsigmoid hyperbolic tangent composite function91% confidence1 source
Heavy Tailed Activation FunctionimplementsHeaviside function90% confidence1 source
spiking neural networkdepends onHeavy Tailed Activation Function88% confidence1 source
binary neural networkdepends onHeavy Tailed Activation Function88% confidence1 source
Deep Heaviside Neural Networkdepends onHeavy Tailed Activation Function88% confidence1 source

Heavy Tailed Activation Function

Relationship

Deep Heaviside Neural Networkdepends onHeavy Tailed Activation Function

88% confidence1 supporting mentions

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Sources 1

preprintarXivOct 21, 2026A Composite Activation Function for Learning Stable Binary Representations
Spiking Neural Networks, Binary Neural Networks and Deep Heaviside neural Networks can be trained stably using HTAF with gradient-based optimization