20 citations · 40 across the 3 of their papers we have counts for
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cs.LG2021★ 20 cited
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Anders Andreassen, Yasaman Bahri, Behnam Neyshabur +1
Although machine learning models typically experience a drop in performance on out-of-distribution data, accuracies on in- versus out-of-distribution data are widely observed to fo…
cs.LG2020★ 14 cited
Asymptotics of Wide Convolutional Neural Networks
Anders Andreassen, Ethan Dyer
Wide neural networks have proven to be a rich class of architectures for both theory and practice. Motivated by the observation that finite width convolutional networks appear to o…