4 citations · 7 across the 7 of their papers we have counts for
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cs.LG2023★ 4 cited
The Transient Nature of Emergent In-Context Learning in Transformers
Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz +3
Transformer neural networks can exhibit a surprising capacity for in-context learning (ICL) despite not being explicitly trained for it. Prior work has provided a deeper understand…
cs.NE2023★ 1 cited
Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis, Javier Masís, Andrew M. Saxe
Biological and artificial learning agents face numerous choices about how to learn, ranging from hyperparameter selection to aspects of task distributions like curricula. Understan…