Making Sense of Touch from the Child's View for Contrastive Learning
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Computer Science > Machine Learning
Title:Making Sense of Touch from the Child's View for Contrastive Learning
Abstract:Is the sense of touch a mechanism for human babies' learning of visual concepts? If so, can we quantify its importance, and to what extent do babies rely on their sense of touch for visual learning? To approach these questions in a principled way, we propose a structured coding system for baby-centric touch events, yielding a dataset of 264k two-second clips of touch events coded according to this system. Using this dataset, we pretrain developmentally grounded models that reveal promising insights into the nature of baby learning from touch.
| Subjects: | Machine Learning (cs.LG) |
| Cite as: | arXiv:2606.31943 [cs.LG] |
| (or arXiv:2606.31943v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2606.31943
arXiv-issued DOI via DataCite (pending registration)
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