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Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Active learning and transfer learning

Lukas Biewald (CrowdFlower)
1:45pm–2:25pm Wednesday, September 20, 2017
Implementing AI
Location: Yosemite BC Level: Intermediate
Secondary topics:  Technical best practices, Transportation and autonomous vehicles
Average rating: ****.
(4.00, 2 ratings)

Prerequisite Knowledge

  • Experience building machine learning models (useful but not required)

What you'll learn

  • Understand how to use active learning and transfer learning in day-to-day model training

Description

Making the best possible use of training data is essential for effective machine learning. Active learning can make your training data collection 10x–1,000x more efficient, while transfer learning opens up a world of new training data possibilities. Lukas Biewald explores the state of the art in training data, active learning, and transfer learning, especially as applied to deep learning.

Topics include:

  • How search engines use active learning to select the most impactful results to show raters to improve relevance
  • How self-driving car companies can guess answers and show them to annotators to get a 10x speed up in data collection
  • How LSTMs can be trained on one language and applied to another
  • How ImageNet was collected and drove the growth of vision algorithms
  • How neural nets make it easy to fine-tune existing algorithms and get great performance with a small amount of training data
  • Best practices in training data collection
Photo of Lukas Biewald

Lukas Biewald

CrowdFlower

Lukas Biewald is the founder and chief data scientist of CrowdFlower, a data enrichment platform that taps into an on-demand to workforce to help companies collect training data and do human-in-the-loop machine learning. Previously, Lukas led the search relevance team for Yahoo Japan and was a senior data scientist at Powerset (acquired by Microsoft in 2008). He was featured on Inc. magazine’s 30 under 30 list. Lukas holds a BS in mathematics and an MS in computer science from Stanford. He is also an expert Go player.

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Comments

Xu Zhang | MEMBER OF RESEARCH STAFF
08/24/2017 9:42am PDT

Any recommended papers/articles to read before attending this talk?