33 citations · 71 across the 8 of their papers we have counts for
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q-bio.NC2021★ 3 cited
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
Luke Y. Prince, Roy Henha Eyono, Ellen Boven +9
We provide a brief review of the common assumptions about biological learning with findings from experimental neuroscience and contrast them with the efficiency of gradient-based l…
cs.LG2021★ 2 cited
Online hyperparameter optimization by real-time recurrent learning
Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho
Conventional hyperparameter optimization methods are computationally intensive and hard to generalize to scenarios that require dynamically adapting hyperparameters, such as life-l…