下記の文章は論文のアブストラクトをChatGPTに解釈させたものであり、正確性は保証しません。 Q1 何に関する論文か、詳しく説明してください。 この論文は、自然言語処理（NLP）における大規模言語モデル（Large Language Models、LLMs）と、それらのモデルを使っ ...

Abstract: Autonomous driving systems operate in highly dynamic open-world environments, constantly encountering novel object classes and changing operational domains. This necessitates robust ...

Abstract: Few-shot incremental learning (FSIL) refers to the ability of a model to learn new concepts from a limited number of labeled examples and gradually recognize novel categories with minimal ...

深層学習（Deep Learning）が様々な領域で成果を上げている一方で，現実世界での長期的な運用にはまだ課題があります．その代表が「継続学習（Continual Learning）」です． 新しいタスクを学ぶたびに，以前の知識が失われてしまう ―― この「破滅的忘却 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Summary: Researchers found that humans and AI share a similar interplay between two learning systems: flexible, quick in-context learning and gradual incremental learning. Experiments showed that AI ...

Brainchip, the AI processor specialist, has looked whether transfer learning is more efficient than incremental learning in training neural nets to perform AI/ML tasks.. In transfer learning, ...