9 citations · 19 across the 5 of their papers we have counts for
4 papers · 1 filter
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Boyang Liu, Mengying Sun, Ding Wang +2
Training deep neural models in the presence of corrupted supervision is challenging as the corrupted data points may significantly impact the generalization performance. To allevia…
Robust Collaborative Learning with Noisy Labels
Mengying Sun, Jing Xing, Bin Chen +1
Learning with curriculum has shown great effectiveness in tasks where the data contains noisy (corrupted) labels, since the curriculum can be used to re-weight or filter out noisy…
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases
Mengying Sun, Inci M. Baytas, Liang Zhan +2
Over the past decade a wide spectrum of machine learning models have been developed to model the neurodegenerative diseases, associating biomarkers, especially non-intrusive neuroi…
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
Mengying Sun, Fengyi Tang, Jinfeng Yi +2
The surging availability of electronic medical records (EHR) leads to increased research interests in medical predictive modeling. Recently many deep learning based predicted model…