Emergence of a 'visual number sense' in hierarchical generative models
By Ivilin Peev Stoianov, Marco Zorzi. 2012
315 citations recorded by the source corpus.
Subfields: Education, Statistics and Probability
Citations in the corpus
- Theory of Mind May Have Spontaneously Emerged in Large Language Models (2023, unknown): “Models trained to process images, for example, spontaneously learned how to count (27, 28) and differentially process central and peripheral image areas (29), as well as experience human-like optical illusions (30).”
- Evaluating large language models in theory of mind tasks (2023, unknown): “Models trained to process images, for example, spontaneously learned how to count ( 30 , 31 ) and differentially process central and peripheral image areas ( 32 ), as well as experience human - like optical illusions ( 33 ).”
- “Look, some Green Circles!”: Learning to Quantify from Images (2016, unknown): “Stoianov and Zorzi (2012) show that the ANS emerges as a statistical property of images in deep networks that learn a hi-75 erarchical generative model of visual input.”