5 citations · 10 across the 3 of their papers we have counts for
3 papers
Semantic Segmentation with Active Semi-Supervised Representation Learning
Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman
Obtaining human per-pixel labels for semantic segmentation is incredibly laborious, often making labeled dataset construction prohibitively expensive. Here, we endeavor to overcome…
Semantic Segmentation with Active Semi-Supervised Learning
Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman
Using deep learning, we now have the ability to create exceptionally good semantic segmentation systems; however, collecting the prerequisite pixel-wise annotations for training im…
Launchpad: A Programming Model for Distributed Machine Learning Research
Fan Yang, Gabriel Barth-Maron, Piotr Stańczyk +5
A major driver behind the success of modern machine learning algorithms has been their ability to process ever-larger amounts of data. As a result, the use of distributed systems i…