Sarah Michalak

Publication Activity (10 Years)

Years Active: 2006-2019
Publications (10 Years): 4

Top Topics

Neural Network Training

Backpropagation Algorithm

Feedforward Neural Networks

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. CoRR (2019)
Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. NeurIPS (2019)
Ryan Slechta, Laura Monroe, Nathan DeBardeleben, Qiang Guan, Joanne Wendelberger, Sarah Michalak
Resilience Analysis of Top K Selection Algorithms. EDCC (2017)
Scott Pakin, Curtis B. Storlie, Michael Lang, Robert E. Fields, Eloy E. Romero Jr., Craig Idler, Sarah Michalak, Hugh Greenberg, Josip Loncaric, Randal Rheinheimer, Gary Grider, Joanne Wendelberger
Power usage of production supercomputers and production workloads. Concurr. Comput. Pract. Exp. 28 (2) (2016)
Laura Monroe, Joanne Wendelberger, Sarah Michalak
Randomized Selection on the GPU. High Performance Graphics (2011)
Cristian Constantinescu, Ishwar Parulkar, R. Harper, Sarah Michalak
Silent Data Corruption - Myth or reality? DSN (2008)
Tom Burr, Todd L. Graves, Richard Klamann, Sarah Michalak, Richard Picard, Nicolas W. Hengartner
Accounting for seasonal patterns in syndromic surveillance data for outbreak detection. BMC Medical Informatics Decis. Mak. 6 (2006)