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In their recent paper titled "Large Associative Memory Problem in Neurobiology and Machine Learning" [arXiv:2008.06996] the authors gave a biologically plausible microscopic theory from which one can recover many dense associative memory models discussed in the literature.
D. Krotov and J. J. Hopfield, “Dense associative memory for pattern recognition,” 2016
2016
Earlier work this paper cites.
D. Krotov and J. Hopfield, “Large associative memory problem in neurobiology and machine learning,” 2021
2021
Earlier work this paper cites.
I. Tolstikhin, N. Houlsby, A. Kolesnikov, L. Beyer, X. Zhai, T. Unterthiner, J. Yung, A. Steiner, D. Keysers, J. Uszkoreit, M. Lucic, and A. Dosovitskiy, “Mlp-mixer: An all-mlp architecture for vision,” 2021
2021
Cited alongside, same era.
L. Melas-Kyriazi, “Do you even need attention? a stack of feed-forward layers does surprisingly well on imagenet,” 2021
2021
Cited alongside, same era.
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