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Friday, November 15 • 1:00pm - 1:30pm
Discovering Your Model's Known Unknowns and Unknown Unknowns

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Selecting the right training data for human review is known as Active Learning. Almost every company invents (or reinvents) the same Active Learning strategies and too often they repeat the same avoidable errors. This talk will share some common Active Learning strategies, with PyTorch examples, covering: Least Confidence Sampling, Entropy-based Sampling, Cluster-based Sampling, Model-based Outliers, Monte Carlo Dropouts (Deep Bayesian Active Learning), Representative Sampling, and Sampling for Real-World Diversity.

Speakers
avatar for Rob Munro

Rob Munro

Humanitarian and Technology experience includes: working in post-conflict development in Liberia and Sierra Leone for UNHCR; researching health communications in Malawi; software development supporting endangered languages; running crowdsourced translation following disasters in Haiti... Read More →


Friday November 15, 2019 1:00pm - 1:30pm
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Attendees (14)