AI RESEARCH
Complexity of Linear Regions in Self-supervised Deep ReLU Networks
arXiv CS.LG
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ArXi:2604.24393v1 Announce Type: new There has been growing interest in studying the complexity of Rectified Linear Unit (ReLU) based activation networks. Recent work investigates the evolution of the number of piecewise-linear partitions (linear regions) that are formed during