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20232026
most citedThe potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories

2 citations · 6 across the 17 of their papers we have counts for

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Showing 2024 · cs.LGShow all

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cs.LG2024★ 1 cited

Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning

Xin Lian, Sashank Varma, Christopher J. MacLellan

Cobweb, a human-like category learning system, differs from most cognitive science models in incrementally constructing hierarchically organized tree-like structures guided by the…

cs.LG2024

Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments

Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi +1

Neural networks often suffer from catastrophic interference (CI): performance on previously learned tasks drops off significantly when learning a new task. This contrasts strongly…