1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
GULP: a prediction-based metric between representations
Enric Boix-Adsera, Hannah Lawrence, George Stepaniants +1
Comparing the representations learned by different neural networks has recently emerged as a key tool to understand various architectures and ultimately optimize them. In this work…
cs.LG2022
On the non-universality of deep learning: quantifying the cost of symmetry
Emmanuel Abbe, Enric Boix-Adsera
We prove limitations on what neural networks trained by noisy gradient descent (GD) can efficiently learn. Our results apply whenever GD training is equivariant, which holds for ma…