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cs.AI2024
Expand Heterogeneous Learning Systems with Selective Multi-Source Knowledge Fusion
Gaole Dai, Huatao Xu, Yifan Yang +2
Expanding existing learning systems to provide high-quality customized models for more domains, such as new users, is challenged by the limited labeled data and the data and device…
eess.SP2024
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
Hyungjun Yoon, Jaehyun Kwak, Biniyam Aschalew Tolera +5
Self-supervised learning has emerged as a method for utilizing massive unlabeled data for pre-training models, providing an effective feature extractor for various mobile sensing a…