1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes +2
Mixup~\cite{zhang2017mixup} is a recently proposed method for training deep neural networks where additional samples are generated during training by convexly combining random pair…
astro-ph.IM2015★ 1 cited
Monitoring the Sky with the Prototype All-Sky Imager on the LWA1
K. S. Obenberger, G. B. Taylor, J. M. Hartman +8
We present a description of the Prototype All-Sky Imager (PASI), a backend correlator and imager of the first station of the Long Wavelength Array (LWA1). PASI cross-correlates a l…