37 citations · 49 across the 4 of their papers we have counts for
5 papers
Generative Design of Hardware-aware DNNs
Sheng-Chun Kao, Arun Ramamurthy, Tushar Krishna
To efficiently run DNNs on the edge/cloud, many new DNN inference accelerators are being designed and deployed frequently. To enhance the resource efficiency of DNNs, model quantiz…
Conditional Neural Architecture Search
Sheng-Chun Kao, Arun Ramamurthy, Reed Williams +1
Designing resource-efficient Deep Neural Networks (DNNs) is critical to deploy deep learning solutions over edge platforms due to diverse performance, power, and memory budgets. Un…
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
Yuyu Zhang, Ping Nie, Xiubo Geng +3
Recent studies on open-domain question answering have achieved prominent performance improvement using pre-trained language models such as BERT. State-of-the-art approaches typical…
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Yuyu Zhang, Xinshi Chen, Yuan Yang +4
Markov Logic Networks (MLNs), which elegantly combine logic rules and probabilistic graphical models, can be used to address many knowledge graph problems. However, inference in ML…
Can Graph Neural Networks Help Logic Reasoning?
Yuyu Zhang, Xinshi Chen, Yuan Yang +4
Effectively combining logic reasoning and probabilistic inference has been a long-standing goal of machine learning: the former has the ability to generalize with small training da…