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You'd think a generative model should answer different queries but deep learning models like VAEs are trained to answer just one type of query! We introduce a method called query-training that creates an inference network that can answer novel query types. https://openreview.net/pdf?id=rJeoKJ3NKr …pic.twitter.com/SVR0kxpwQJ
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We show that a singular principle of variable-order sequence learning in a structured model can explain cognitive maps phenom: spatial maps, transitive inference, temporal order, hierarchical planning, remapping etc. -- all important for AI & neuroscience. https://www.biorxiv.org/content/10.1101/864421v1 …pic.twitter.com/k8guF87lEB
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Our
#CCN2019 paper proposes a new model for cognitive maps in the hippocampus which involves learning higher-order graphs of event sequences. It can explain flexible planning, route-dependence of place cells, and subsumes successor representations. https://www.biorxiv.org/content/10.1101/745950v1?rss=1 …pic.twitter.com/KASM6l6RBK
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If yuor laugnage moedl cnnaot raed tihs, it mgiht not be vrey dnagorues
. See our paper on learning graphs that can model higher-order sequences and deal with uncertainty. https://arxiv.org/abs/1905.00507 pic.twitter.com/b1bHNZ7Om4
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Our new paper learns concepts as programs on a 'visual cognitive computer', showing zero-shot task-transfer on robots, and strong generalization. We bring cogsci ideas about perceptual symbol systems and image schemas into the realm of machine learning. https://arxiv.org/abs/1812.02788 pic.twitter.com/wkKrPe8CZA
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Checkout our CCN-18 papers! (1) RCN-derived circuits suggest precise functional roles for feed-forward, feedback, and lateral connections, and for the thalamus. (2) RCN can explain multiple visual phenomena including two well-known illusions.
#CCN18#microcircuitspic.twitter.com/HfoKoHIscT
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The one-page-summary of our Science paper has come out in print. Also, the full version can now be accessed for free following the link from our blog! https://www.vicarious.com/2017/10/26/common-sense-cortex-and-captcha/ …pic.twitter.com/qEIxNNEzt4
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Our Schema Networks paper (ICML'17) addresses some of the shortcomings in deep reinforcement learning.https://www.youtube.com/watch?v=QHcAlAprFxA …
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Our presentation at the Singularity Summit is now online:http://www.youtube.com/watch?v=wof47INDvdg …
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