AI RESEARCH
ArcGate: Adaptive Arctangent Gated Activation
arXiv CS.LG
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ArXi:2605.14518v1 Announce Type: cross Activation functions are central to deep networks, influencing non-linearity, feature learning, convergence, and robustness. This paper proposes the Adaptive Arctangent Gated Activation (ArcGate) function, a flexible formulation that generates a broad spectrum of activation shapes via a three-stage non-linear transformation.