Zhai, Shuangfei

Deep Structured Energy Based Models for Anomaly Detection

Zhai, S., Cheng, Y., Lu, W., & Zhang, Z. (2016) · arXiv

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 334

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

Che, Z., Cheng, Y., Zhai, S., Sun, Z., & Liu, Y. (2017) · 2017 IEEE International Conference on Data Mining (ICDM)

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 162

An Attention Free Transformer

Zhai, S., Talbott, W., Srivastava, N., Huang, C., Goh, H., Zhang, R., & Susskind, J. (2021) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 57

Scalable Pre-training of Large Autoregressive Image Models

El-Nouby, A., Klein, M., Zhai, S., Bautista, M. A., Toshev, A., Shankar, V., Susskind, J. M., & Joulin, A. (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 9