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洞見 - Inductive Biases in Neural Networks
Neural Redshift: Unveiling Neural Networks' Generalization Biases
Neural networks exhibit strong inductive biases towards functions of specific complexity levels, independent of optimization methods. The simplicity bias observed in trained models is rooted in the architecture's parametrization, not just gradient descent.
Neural Redshift: Uncovering Neural Networks' Generalization Biases
Neuronale Netzwerke zeigen inductive Voreingenommenheiten unabhängig von der Optimierung.
