AFA-Net: A Differential Attention Approach for Auditory Attention Detection
AFA-Net is among the first frameworks to explicitly try to combat EEG noise to improve AAD, a machine learning framework that replaces vanilla attention with a simple yet flexible differential attention mechanism to help focus on task-relevant neural activity.
Philip H. Lee, Shreeram Suresh Chandra, Karan Thakkar et al.
· 0 citations