Mortazavi, Bobak J.

8 publications

NeurIPSW 2024 Memory Efficient Continual Learning with CLIP Models Ryan King, Gang Li, Bobak J Mortazavi, Tianbao Yang

CHIL 2023 Conference on Health, Inference, and Learning (CHIL) 2023 Bobak J. Mortazavi, Tasmie Sarker, Andrew Beam, Joyce C. Ho

MLHC 2023 Semi-Supervised Meta-Learning for Multi-Source Heterogeneity in Time-Series Data Lida Zhang, Bobak J. Mortazavi

AISTATS 2022 VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian

MLHC 2022 Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi

ICML 2022 VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning Based on Bayesian Novelty Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J Mortazavi, Shuai Huang, Xiaoning Qian

ICML 2021 Self-Damaging Contrastive Learning Ziyu Jiang, Tianlong Chen, Bobak J Mortazavi, Zhangyang Wang

MLHC 2020 Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention Justin Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi