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07/21/2020
Bloom Origami Assays: Practical Group Testing
We study the problem usually referred to as group testing in the context...
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04/30/2020
Improving Semantic Segmentation via Self-Training
Deep learning usually achieves the best results with complete supervisio...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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03/13/2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
We introduce AutoGluon-Tabular, an open-source AutoML framework that req...
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03/10/2017
Deep Sets
In this paper, we study the problem of designing objective functions for...
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06/14/2015
Fast and Guaranteed Tensor Decomposition via Sketching
Tensor CANDECOMP/PARAFAC (CP) decomposition has wide applications in sta...
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11/03/2009