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NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Machine learning (ML) systems often encounter Out-of-Distribution (OoD) errors when dealing with testing data coming from a …
Qian Lab
,
Shahin Boluki
,
Xinyu Gong
,
Zhangyang Wang
,
Xiaoning Qian
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Learnable Bernoulli Dropout for Bayesian Deep Learning
In this work, we propose learnable Bernoulli dropout (LBD), a new model-agnostic dropout scheme that considers the dropout rates as …
Shahin Boluki
,
Qian Lab
,
Siamak Zamani Dadaneh
,
Mingyuan Zhou
,
Xiaoning Qian
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Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
Emerging wearable sensors have enabled the unprecedented ability to continuously monitor human activities for healthcare purposes. …
Qian Lab
,
Guang Zhao
,
Zhangyang Wang
,
Bobak Mortazavi
,
Shuai Huang
,
Xiaoning Qian
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