Shypd.aiThe largest open index of AI toolsawesome-multimodal-ml is a Research & Education tool that provides a curated reading list for multimodal machine learning research. It includes papers, datasets, and course content for staying updated on advancements.
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awesome-multimodal-ml is a comprehensive, curated reading list designed for researchers and students interested in multimodal machine learning. Maintained by Paul Liang from CMU, this resource compiles essential papers, datasets, and course materials across various topics. It covers core areas such as multimodal representations, fusion, alignment, pretraining, and translation, alongside applications in QA, grounding, and robotics. The list also delves into advanced topics like generative learning, adversarial attacks, and bias/fairness. This GitHub repository serves as an invaluable academic resource for keeping abreast of the latest developments and foundational knowledge in the field.
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