AI RESEARCH
A Composite Activation Function for Learning Stable Binary Representations
arXiv CS.LG
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ArXi:2605.11558v1 Announce Type: new Activation functions play a central role in neural networks by shaping internal representations. Recently, learning binary activation representations has attracted significant attention due to their advantages in computational and memory efficiency, as well as interpretability. However