The article presents a new method for class-incremental learning of potentially overlapping sounds for multi-label audio classification tasks. The proposed system learns new sound classes independently of the old ones,…
Continue readingThe article discusses a new training scheme for distributed robot systems in open-world scenarios. It uses a teacher-student model where a ‘student’ robot can ask other ‘teacher’ robots for guidance…
Continue readingThe study investigates the potential of transferring ‘complementary’ knowledge from one pretrained model to another without performance degradation. This task is complex as additional knowledge can be contained in stronger,…
Continue readingThe research paper investigates the possibility of transferring ‘complementary’ knowledge between any arbitrary pairing of pretrained models, without any performance degradation. The authors found that each model learns unique feature…
Continue readingThe article presents a new method for extracting knowledge from AI systems, focusing on AlphaZero, an AI system that has mastered chess. The researchers propose using AI not just as…
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