Attention-based vision models, such as Vision Transformer (ViT) and its
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Graph neural networks (GNNs) are a class of effective deep learning mode...
Neural network (NN)-based methods have emerged as an attractive approach...
Noise injection-based regularization, such as Dropout, has been widely u...
We propose a new method for clustering of functional data using a k-mean...
Deep neural networks, while generalize well, are known to be sensitive t...