37 citations · 73 across the 14 of their papers we have counts for
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cs.NE2021★ 2 cited
Generalisation in Neural Networks Does not Require Feature Overlap
Jeff Mitchell, Jeffrey S. Bowers
That shared features between train and test data are required for generalisation in artificial neural networks has been a common assumption of both proponents and critics of these…
cs.NE2018★ 1 cited
When and where do feed-forward neural networks learn localist representations?
Ella M. Gale, Nicolas Martin, Jeffrey S. Bowers
According to parallel distributed processing (PDP) theory in psychology, neural networks (NN) learn distributed rather than interpretable localist representations. This view has be…