MULTI-TASK COLLABORATIVE NETWORK: BRIDGE THE SUPERVISED AND SELF-SUPERVISED LEARNING FOR EEG CLASSIFICATION IN RSVP TASKS

Multi-Task Collaborative Network: Bridge the Supervised and Self-Supervised Learning for EEG Classification in RSVP Tasks

Electroencephalography (EEG) datasets are characterized by low Urological Accessories signal-to-noise signals and unquantifiable noisy labels, which hinder the classification performance in rapid serial visual presentation (RSVP) tasks.Previous approaches primarily relied on supervised learning (SL), which may result in overfitting and reduced gene

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