Martin Q. Ma

Martin Q. Ma 

Martin Q. Ma
Ph.D. student, Language Technology Institute,
School of Computer Science, Carnegie Mellon University
Email: qianlim [at] cs.cmu.edu

Google Scholar
DBLP
GitHub
Twitter

About Me

Martin Q. Ma is a Ph.D. student in the School of Computer Science at Carnegie Mellon University, advised by Louis-Philippe Morency. He also collaborates with Ruslan Salakhutdinov, Kun Zhang, and Yao-Hung Hubert Tsai. He graduated with a degree in mathematics and computer science from Brandeis University. His research focuses on developing new self-supervised learning methods based on neuroscience insights, understanding self-supervised learning with theoretical frameworks, and designing self-supervised algorithms for multimodal tasks. His works have been published in NeurIPS, CVPR, ICLR, EMNLP, and were awarded a highlight in CVPR and an oral in NeurIPS Science meets Engineering of Deep Learning workshop.