Using time as a supervision mechanism for self-supervised learning:https://arxiv.org/abs/1605.08104
Using spatial relationships: http://arxiv.org/abs/1603.09246
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It is likely that humans rely on both temporal continuity and spatial coherence to learn about visual features. So why not combine both?
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One thing I like for this is 'for data set f(x), predict x given f' (both x, f high dim. vectors). Learn a map of the data.
End of conversation
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