… trained deep neural networks often follows precise power-law scaling … explains the origins
of and connects these scaling laws. We identify variance-limited and resolution-limited scaling …

… of deep neural … explaining the scaling laws has followed and broadened a similar
approximation-centric [4, 59] analysis yielding a rigorous theoretical understanding of the scaling …

… Power law scaling in deep neural architectures has been verified … To explain this theoretically,
at least for data scaling, several … of scaling laws and an improved estimator of scaling law …

… To attempt to explain these phenomena, we develop a mathematically tractable model of
neural scaling laws which allows one to simultaneously vary time, model size, and dataset size. …

… Widely observed neural scaling laws, in which error falls off as a power of the training set …
scaling alone require considerable costs in compute and energy. Here we focus on the scaling …

… well-trained neural networks often follows precise power-law scaling relations with … explains
and connects these scaling laws. We identify variance-limited and resolution-limited scaling …

… broken power law functional form (referred to by us as a broken neural scaling law (BNSL))
that accurately models and extrapolates the scaling behaviors of deep neural networks (ie …

… The main focus of this work is on the two basic forms of neural scaling laws for the graph …
two basic forms of neural scaling laws: the model scaling law and the data scaling law. We first …

… 5 Scaling Laws with Model Size and Training Time In this section we will demonstrate that
a simple scaling law … First we will explain how to use the results of [MKAT18] to define a …

… theories to explain scaling laws in terms that can cross or integrate disciplines. … of scaling
laws in other sciences. Here, we review evidence of scaling laws in cognitive science, at neural…