4 天前 - … engages the photocaging group in energy transfer or redox reactions. The sensitised
… Overall, this study represents a useful addition of knowledge to the fields of photoredox-…

4 天前 - … The contextual relations obtained from the sign language recognition task are
added to the semantic extractor as prior knowledge using a transfer learning approach to better …

4 天前 - … , thus opening up the possibility for viral transference. As humans expanded their
gardens … More importantly, this knowledge will greatly benefit epidemiologists as we await a …

4 天前 - … To the best of our knowledge, this is the first of such work that presents the utility of
… Leveraging transformer ViT transfer learning, our model achieved a remarkable performance …

4 天前 - … Moreover, GLDMPs achieve favorable performance without specialized knowledge.
… Learning from demonstration (LfD) has emerged as an effective method for transferring …

4 天前 - … relocation as a condition for the knowledge-making of ‘Asian … produced different
layers of knowledge that described Buddhist … Third, the dissertation argues that the transfer from …

5 天前 - … Thus to alleviate the long-tail problem, we propose the Dual-granularity Knowledge
Transfer (DKT) strategy to transfer knowledge in predicate and triplet feature spaces from …

5 天前 - … in multimodal contexts to entities in a multimodal knowledge graph. A pivotal challenge
is to … leverage knowledge distillation to transfer OT assignment knowledge to attention …

5 天前 - … transfer of prior knowledge in the vision domain from the user to the agent. To fill
this gap, we propose Vision-and-Language Navigation with Multi-modal Prompts (VLN-MP), a …

5 天前 - … In summary, Transfer Learning Evaluation is a comprehensive approach to assess
the adaptability and efficiency of LLMs in applying their pre-learned knowledge to new and …