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cs.LG2022
Why Deep Learning Generalizes
Benjamin L. Badger
Very large deep learning models trained using gradient descent are remarkably resistant to memorization given their huge capacity, but are at the same time capable of fitting large…
cs.LG2022★ 1 cited
Small Language Models for Tabular Data
Benjamin L. Badger
Supervised deep learning is most commonly applied to difficult problems defined on large and often extensively curated datasets. Here we demonstrate the ability of deep representat…
cs.CV2022
Depth and Representation in Vision Models
Benjamin L. Badger
Deep learning models develop successive representations of their input in sequential layers, the last of which maps the final representation to the output. Here we investigate the…