Research

Built on Groundbreaking Research.

Major Petuum innovations include the parameter server architecture and theory, the stale-synchronous parallel bridging model, elastic resource scheduling technology, and managed network communication technology in high-performance distributed systems for ML and DL – as well as new ML and DL models and algorithms for actionable, human-level understanding and learning from images, videos and natural language.

Connecting the Dots Between MLE and RL for Sequence Generation

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Eric Xing
Advanced AI and ML

AutoLoss: Learning Discrete Schedules for Alternate Optimization

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Ruslan Salakhutdinov, Eric Xing
Medical

Predicting Discharge Medications at Admission Time Based on Deep Learning

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Christy Y. Li, Hongbao Zhang, Eric Xing
Medical

Towards Automated ICD Coding Using Deep Learning

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Eric Xing

Medical Diagnosis from Laboratory Tests by Combining Generative and Discriminative Learning

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Medical

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition

Proceedings of Machine Learning Research

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Medical

On the Automatic Generation of Medical Imaging Reports

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Medical

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays

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Nanqing Dong, Yuan Li, Eric Xing
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