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Found 3 papers, 2 papers with code
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning
We see improvement in the performance of the target model on the target (NMT) datasets by using the knowledge from the source dataset (TUAB) when a low amount of labelled data was available.
Continual Learning with Foundation Models: An Empirical Study of Latent Replay
Motivated by this, we study the efficacy of pre-trained vision models as a foundation for downstream continual learning (CL) scenarios.
Exploring to learn visual saliency: The RL-IAC approach
On the other hand, we investigate an autonomous exploration technique to efficiently learn such a saliency model.
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