
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.


coremsg

Neural-Redshift-Unveiling-Neural-Networks-Generalization-Biases


Neural Redshift: Unveiling Neural Networks' Generalization Biases


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Neuronale Netzwerke zeigen inductive Voreingenommenheiten unabhängig von der Optimierung.


neural-redshift-uncovering-neural-networks-generalization-biases


Neural Redshift: Uncovering Neural Networks' Generalization Biases
