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cs.LG2023★ 2 cited
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks
Tomer Galanti, Mengjia Xu, Liane Galanti +1
In this paper, we investigate the Rademacher complexity of deep sparse neural networks, where each neuron receives a small number of inputs. We prove generalization bounds for mult…
cs.LG2022★ 1 cited
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks
Tomer Galanti, Liane Galanti, Ido Ben-Shaul
Recent results in the literature suggest that the penultimate (second-to-last) layer representations of neural networks that are trained for classification exhibit a clustering pro…