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Nhan Tran

2 accepted papers

2023

Structural Re-weighting Improves Graph Domain Adaptation

ICML 2023poster

In many real-world applications, graph-structured data used for training and testing have differences in distribution, such as in high energy physics (HEP) where simulation data used for training may not match real experiments. Graph domain adaptation (GDA) is a method used to address these differen…

2021

MLPerf Tiny Benchmark

NeurIPS 2021poster

Advancements in ultra-low-power tiny machine learning (TinyML) systems promise to unlock an entirely new class of smart applications. However, continued progress is limited by the lack of a widely accepted and easily reproducible benchmark for these systems. To meet this need, we present MLPerf Tiny…

Cited by 246SourceScholar