objective: multiple sclerosis (ms) is a progressive disease of cns and cognitive impairment is a common concomitant of it that affects various aspects of cognitive functioning like attention and memory as well as attentional complex tasks such as selective attention. the present study investigated the effectiveness of attention rehabilitation on decreasing selective attention deficits in patien...

New models of random forests jointly using the attention and self-attention mechanisms are proposed for solving regression problem. The can be regarded as extensions attention-based forest whose idea stems from applying a combination Nadaraya–Watson kernel Huber’s contamination model to forests. aims capture dependencies tree predictions remove noise or anomalous in forest. module is trained wi...

While transformers have begun to dominate many tasks in vision, applying them large images is still computationally difficult. A reason for this that self-attention scales quadratically with the number of tokens, which turn, image size. On larger (e.g., 1080p), over 60% total computation network spent solely on creating and attention matrices. We take a step toward solving issue by introducing ...