551 citations · 1.9k across the 23 of their papers we have counts for
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cs.LG2021★ 21 cited
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen, Roman Novak, Lechao Xiao +1
The effectiveness of machine learning algorithms arises from being able to extract useful features from large amounts of data. As model and dataset sizes increase, dataset distilla…
cs.LG2021★ 142 cited
Explaining Neural Scaling Laws
Yasaman Bahri, Ethan Dyer, Jared Kaplan +2
The population loss of trained deep neural networks often follows precise power-law scaling relations with either the size of the training dataset or the number of parameters in th…