Micro-Data Learning: The Other End of the Spectrum
Not on the map. Why?
Abstract (arXiv)
Many fields are now snowed under with an avalanche of data, which raises considerable challenges for computer scientists. Meanwhile, robotics (among other fields) can often only use a few dozen data points because acquiring them involves a process that is expensive or time-consuming. How can an algorithm learn with only a few data points?
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 4 Oct 2016.
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