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understanding and representation learning; Self-supervised and data-efficient learning; Transfer learning and knowledge reuse across tasks; Structured and compositional learning; Vision-language and multimodal
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be centered on applying techniques from automata theory and programming language semantics within program similarity detection, with applications to recurrent vulnerability detection, as
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across tasks; Structured and compositional learning; Vision-language and multimodal models; Learning with limited supervision; Generalisation beyond pretraining distributions The precise research agenda
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