23 citations · 33 across the 4 of their papers we have counts for
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cs.LG2022★ 3 cited
Scaling Laws Beyond Backpropagation
Matthew J. Filipovich, Alessandro Cappelli, Daniel Hesslow +1
Alternatives to backpropagation have long been studied to better understand how biological brains may learn. Recently, they have also garnered interest as a way to train neural net…
cs.LG2021
Contrastive Embeddings for Neural Architectures
Daniel Hesslow, Iacopo Poli
The performance of algorithms for neural architecture search strongly depends on the parametrization of the search space. We use contrastive learning to identify networks across di…