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