Steven Eliuk

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 8

Top Topics

Top Venues

UbiComp Adjunct

Publications

Yang Sun, Abhishek Kolagunda, Steven Eliuk, Xiaolong Wang
Training Better Deep Neural Networks with Uncertainty Mining Net. BMVC (2021)
Xin Guo, Yu Tian, Qinghan Xue, Panos Lampropoulos, Steven Eliuk, Kenneth E. Barner, Xiaolong Wang
Continual Learning Long Short Term Memory. EMNLP (Findings) (2020)
Qinghan Xue, Abhishek Kolagunda, Steven Eliuk, Xiaolong Wang
AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning. IEEE BigData (2019)
Christian Pinto, Yiannis Gkoufas, Andrea Reale, Seetharami Seelam, Steven Eliuk
Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud. CoRR (2018)
Steven Eliuk, Cameron Upright, Anthony Skjellum
dMath: A Scalable Linear Algebra and Math Library for Heterogeneous GP-GPU Architectures. CoRR (2016)
Hosub Lee, Cameron Upright, Steven Eliuk, Alfred Kobsa
Personalized object recognition for augmenting human memory. UbiComp Adjunct (2016)
Steven Eliuk, Cameron Upright, Anthony Skjellum
dMath: Linear Algebra for Scaleout GP-GPUs. HPCC/SmartCity/DSS (2016)
Steven Eliuk, Cameron Upright, Hars Vardhan, Stephen Walsh, Trevor Gale
dMath: Distributed Linear Algebra for DL. CoRR (2016)
Christian Andres Diaz Leon, Steven Eliuk, Helmuth Trefftz Gómez
Simulating soft tissues using a GPU approach of the mass-spring model. VR (2010)