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cs.CV2023
Fixing the problems of deep neural networks will require better training data and learning algorithms
Drew Linsley, Thomas Serre
Bowers and colleagues argue that DNNs are poor models of biological vision because they often learn to rival human accuracy by relying on strategies that differ markedly from those…
cs.CV2019
Controversial stimuli: pitting neural networks against each other as models of human recognition
Tal Golan, Prashant C. Raju, Nikolaus Kriegeskorte
Distinct scientific theories can make similar predictions. To adjudicate between theories, we must design experiments for which the theories make distinct predictions. Here we cons…