Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

In this work, we have demonstrated how techniques from cognitive psychology can be leveraged to help us better understand DNNs. As a case study, we measured the shape bias in two powerful yet poorly understood DNNs - Inception and MNs. Our analysis revealed previously unknown properties of these models. More generally, our work leads the way for future exploration of DNNs using the rich body of techniques developed in cognitive psychology


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