103 citations · 171 across the 4 of their papers we have counts for
4 papers
CMD: An Integrated CGRA Framework with Cluster-Based Distributed Memory Design
Shangkun Li, Cheng Tan, Zeyu Li +6
Coarse-Grained Reconfigurable Arrays (CGRAs) are a promising solution for achieving high energy efficiency and reconfigurability across various application domains, but their perfo…
How Does Adversarial Fine-Tuning Benefit BERT?
Javid Ebrahimi, Hao Yang, Wei Zhang
Adversarial training (AT) is one of the most reliable methods for defending against adversarial attacks in machine learning. Variants of this method have been used as regularizatio…
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
Aravind Sankar, Yanhong Wu, Yuhang Wu +3
We study the problem of making item recommendations to ephemeral groups, which comprise users with limited or no historical activities together. Existing studies target persistent…
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar, Yanhong Wu, Liang Gou +2
Learning latent representations of nodes in graphs is an important and ubiquitous task with widespread applications such as link prediction, node classification, and graph visualiz…