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- University of California, BerkeleyUS153 papers
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- University of ChicagoUS10 papers
- Lawrence Berkeley National LaboratoryUS8 papers
- University of California, Santa CruzUS8 papers
- University of MichiganUS7 papers
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15 papers · 1 filter
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Bichen Wu, Alvin Wan, Xiangyu Yue +6
Neural networks rely on convolutions to aggregate spatial information. However, spatial convolutions are expensive in terms of model size and computation, both of which grow quadra…
Heavy Hitters and the Structure of Local Privacy
Mark Bun, Jelani Nelson, Uri Stemmer
We present a new locally differentially private algorithm for the heavy hitters problem which achieves optimal worst-case error as a function of all standardly considered parameter…
Subpercent Accurate Fitting of Modified Gravity Growth
Mikhail Denissenya, Eric V. Linder
Adding to our previous method for dealing with gravitational modifications at redshift through a single parameter, we investigate treatment of lower redshift modificati…
All-sky Radio SETI
Michael Garrett, Andrew Siemion, Wim van Cappellen
Over the last decade, Aperture Arrays (AA) have successfully replaced parabolic dishes as the technology of choice at low radio frequencies - good examples are the MWA, LWA and LOF…
ImageNet Training in Minutes
Yang You, Zhao Zhang, Cho-Jui Hsieh +2
Finishing 90-epoch ImageNet-1k training with ResNet-50 on a NVIDIA M40 GPU takes 14 days. This training requires 10^18 single precision operations in total. On the other hand, the…
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
We consider the problem of noisy matrix completion, in which the goal is to reconstruct a structured matrix whose entries are partially observed in noise. Standard approaches to th…