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20222025
most citedUDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction

2 citations · 2 across the 5 of their papers we have counts for

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cs.LG2023

LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms

Young D. Kwon, Jagmohan Chauhan, Hong Jia +2

Continual Learning (CL) allows applications such as user personalization and household robots to learn on the fly and adapt to context. This is an important feature when context, a…

cs.LG2023★ 2 cited

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction

Yu Wu, Dimitris Spathis, Hong Jia +5

Deep learning models have shown great promise in various healthcare monitoring applications. However, most healthcare datasets with high-quality (gold-standard) labels are small-sc…