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2026-02-27 19:02:14
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VLAA VLAA lab Home People Publications GitHub HuggingFace Opening Welcome to VLAA lab Vision · Learning · Assured Autonomy Our projects Our lab has a broad interest in computer vision and machine learning, including developing efficient deep representation learning with minimal supervision and securing model performance under (adversarial) distribution shifts. In addition, we are interested in 1) building transparent and trustworthy medical AI systems that can function effectively in complex clinical environments; and 2) generative AI, including LLMs and Diffusion Models. News [November 2024] We release CLIPS , a significantly enhanced CLIP model with SOTA cross-modal retrieval performance on MSCOCO and Flickr30K. One papers are accepted by TMLR. Cihang Xie will serve as Area Chairs for ICML 2025. [September 2024] We release MedTrinity-25M , a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million i...
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