AI RESEARCH
Unified Neural Scaling Laws
arXiv CS.AI
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ArXi:2605.26248v1 Announce Type: cross We present a functional form (that we refer to as a Unified Neural Scaling Law (UNSL)) that accurately models and extrapolates the scaling behaviors of deep neural networks as multiple dimensions all vary simultaneously (i.e. how the evaluation metric of interest varies as one simultaneously varies the number of model parameters