596 citations · 637 across the 7 of their papers we have counts for
3 papers · 1 filter
Learning Concept Embeddings with Combined Human-Machine Expertise
Michael J. Wilber, Iljung S. Kwak, David Kriegman +1
This paper presents our work on "SNaCK," a low-dimensional concept embedding algorithm that combines human expertise with automatic machine similarity kernels. Both parts are compl…
On Optimizing Human-Machine Task Assignments
Andreas Veit, Michael Wilber, Rajan Vaish +48
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the cro…
Image Representations and New Domains in Neural Image Captioning
Jack Hessel, Nicolas Savva, Michael J. Wilber
We examine the possibility that recent promising results in automatic caption generation are due primarily to language models. By varying image representation quality produced by a…