122 citations · 196 across the 5 of their papers we have counts for
5 papers
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
Chengcheng Wan, Henry Hoffmann, Shan Lu +1
We propose a novel variant of SGD customized for training network architectures that support anytime behavior: such networks produce a series of increasingly accurate outputs over…
ALERT: Accurate Learning for Energy and Timeliness
Chengcheng Wan, Muhammad Santriaji, Eri Rogers +3
An increasing number of software applications incorporate runtime Deep Neural Networks (DNNs) to process sensor data and return inference results to humans. Effective deployment of…
Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines
Pranav Gokhale, Yongshan Ding, Thomas Propson +6
Quantum computing is on the cusp of reality with Noisy Intermediate-Scale Quantum (NISQ) machines currently under development and testing. Some of the most promising algorithms for…
Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers
Yunong Shi, Nelson Leung, Pranav Gokhale +4
Recent developments in engineering and algorithms have made real-world applications in quantum computing possible in the near future. Existing quantum programming languages and com…
Understanding and Auto-Adjusting Performance-Related Configurations
Shu Wang, Chi Li, William Sentosa +2
Modern software systems are often equipped with hundreds to thousands of configuration options, many of which greatly affect performance. Unfortunately, properly setting these conf…