# Micro-Data Learning: The Other End of the Spectrum

arXiv: https://arxiv.org/abs/1610.00946 · HTML: https://mlsanity.com/paper/1610.00946/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Oct 2016.

## Built on by (most cited first, 1 of 1)

- [Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?](https://mlsanity.com/paper/2107.11587/) (2021)

## 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?