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cs.LG2022★ 2 cited
Do highly over-parameterized neural networks generalize since bad solutions are rare?
Julius Martinetz, Thomas Martinetz
We study over-parameterized classifiers where Empirical Risk Minimization (ERM) for learning leads to zero training error. In these over-parameterized settings there are many globa…
cs.CV2022★ 1 cited
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization
Christoph Linse, Thomas Martinetz
Recent findings have shown that highly over-parameterized Neural Networks generalize without pretraining or explicit regularization. It is achieved with zero training error, i.e.,…