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CHIL

The Computer Human Interactive Learning group is part of the Machine Learning Groups in MSR Redmond.

The focus of the CHIL group is to make classifiers and other Machine Learning (ML) artefacts easy to create, update, and transfer with little ML expertise and negligible cost.

Group Contact: patrice@microsoft.com

Projects
  • ICE: Interative Classification and Entity Extraction
    Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine towards accomplishing the task of interest. The system leverages big data to find examples that maximize the training value of its interaction with the teacher.
People
Saleema Amershi
Saleema Amershi

Leon Bottou
Leon Bottou

Max Chickering
Max Chickering

Aparna Lakshmiratan
Aparna Lakshmiratan

Patrice Simard
Patrice Simard

Jina Suh
Jina Suh

Johan Verwey
Johan Verwey

Alumni

  • Denis Charles
  • David Grangier

 

Publications

Simard, P., Chickering, D., Lakshmiratan, A., Charles, D., Bottou, L., Suarez, C.G.J., Grangier,D., Amershi,S., Verwey,J., Suh,J.: Ice: Enabling non-experts to build models interactively for large-scale lopsided problems. arXiv:1409.4814 [cs.AI], Microsoft Research (2014)

Publications