Martin Q. Ma
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Martin Q. Ma |
About Me
Martin Q. Ma is a Ph.D. student in the School of Computer Science at Carnegie Mellon University and a visiting researcher at Meta Fundamental AI Research (FAIR) team, advised by Louis-Philippe Morency and Ruslan Salakhutdinov. He also collaborates with Paul Liang, 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.