19 citations · 21 across the 2 of their papers we have counts for
4 papers
Sample-Then-Optimize Batch Neural Thompson Sampling
Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low +1
Bayesian optimization (BO), which uses a Gaussian process (GP) as a surrogate to model its objective function, is popular for black-box optimization. However, due to the limitation…
Understanding Architectures Learnt by Cell-based Neural Architecture Search
Yao Shu, Wei Wang, Shaofeng Cai
Neural architecture search (NAS) searches architectures automatically for given tasks, e.g., image classification and language modeling. Improving the search efficiency and effecti…
Dynamic Routing Networks
Shaofeng Cai, Yao Shu, Wei Wang +1
The deployment of deep neural networks in real-world applications is mostly restricted by their high inference costs. Extensive efforts have been made to improve the accuracy with…
Efficient Memory Management for GPU-based Deep Learning Systems
Junzhe Zhang, Sai Ho Yeung, Yao Shu +2
GPU (graphics processing unit) has been used for many data-intensive applications. Among them, deep learning systems are one of the most important consumer systems for GPU nowadays…