2.2k citations · 4.4k across the 41 of their papers we have counts for
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Better Aggregation in Test-Time Augmentation
Divya Shanmugam, Davis Blalock, Guha Balakrishnan +1
Test-time augmentation -- the aggregation of predictions across transformed versions of a test input -- is a common practice in image classification. Traditionally, predictions are…
Unsupervised Domain Adaptation in the Absence of Source Data
Roshni Sahoo, Divya Shanmugam, John Guttag
Current unsupervised domain adaptation methods can address many types of distribution shift, but they assume data from the source domain is freely available. As the use of pre-trai…
Anatomical Predictions using Subject-Specific Medical Data
Marianne Rakic, John Guttag, Adrian V. Dalca
Changes over time in brain anatomy can provide important insight for treatment design or scientific analyses. We present a method that predicts how a brain MRI for an individual wi…
What is the State of Neural Network Pruning?
Davis Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle +1
Neural network pruning---the task of reducing the size of a network by removing parameters---has been the subject of a great deal of work in recent years. We provide a meta-analysi…
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis +3
We introduce a new video synthesis task: synthesizing time lapse videos depicting how a given painting might have been created. Artists paint using unique combinations of brushes,…