Toward a Computational Model of Transfer

Authors

  • Daniel Oblinger Defense Advanced Research Projects Agency

DOI:

https://doi.org/10.1609/aimag.v32i2.2337

Abstract

This article focuses on a broad framing of the DARPA Transfer Learning Program research and an assessment of its progress, limitations, and challenges, from an admittedly personal but DARPA-influenced perspective. I will focus on a broad framing of TL that that will allow us to talk about this body of work as a whole, and use this to look towards work yet to be done in this area. I will consider both indicated application areas for transfer learning, as well as indicated future research challenges. With each of these I will also venture assessment of the "ripeness" of each of these subareas for follow on work-of course this assessment will be a very personal estimation based on the effort and progress made during the TL program.

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Published

2011-03-16

How to Cite

Oblinger, D. (2011). Toward a Computational Model of Transfer. AI Magazine, 32(2), 126-128. https://doi.org/10.1609/aimag.v32i2.2337

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Section

Articles