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The Conflict Between Logic and Memory: Learning Higher-Order Interactions in Shallow MLPs
A network can fit its training examples while failing to recover the rule that generated their labels. We examine this separation in single-hidden-layer multilayer perceptrons (MLPs), using synthetic tasks that control interaction order and the presence of nuisance inputs. We establish elementary be
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