241 citations · 275 across the 16 of their papers we have counts for
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cs.LG2021
Grounding Psychological Shape Space in Convolutional Neural Networks
Lucas Bechberger, Kai-Uwe Kühnberger
Shape information is crucial for human perception and cognition, and should therefore also play a role in cognitive AI systems. We employ the interdisciplinary framework of concept…
cs.LG2021★ 1 cited
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
Viviane Clay, Peter König, Gordon Pipa +1
Most artificial neural networks used for object detection and recognition are trained in a fully supervised setup. This is not only very resource consuming as it requires large dat…
cs.LG2019★ 2 cited
Generalizing Psychological Similarity Spaces to Unseen Stimuli
Lucas Bechberger, Kai-Uwe Kühnberger
The cognitive framework of conceptual spaces proposes to represent concepts as regions in psychological similarity spaces. These similarity spaces are typically obtained through mu…