pliang279/awesome-multimodal-ml
A curated academic reading list and course materials for multimodal machine learning research, maintained by CMU's MultiComp Lab.

This repository serves as a comprehensive reading list and educational resource for multimodal machine learning research. It includes public course content from CMU’s Multimodal Machine Learning courses (11-777 and 11-877), tutorial materials from CVPR and NAACL workshops, and organized references covering core topics such as multimodal representations, fusion, alignment, pretraining, and crossmodal retrieval. The list is maintained by CMU’s Machine Learning Department and Language Technologies Institute.