Transformer Architecture: The ViT model uses a standard transformer encoder architecture, treating an image as a sequence of patches and encoding the patches using a transformer encoder. Image Patch ...

In this paper, we compare the performance of the Transformer and Recurrent architecture as context encoders on the Named Entity Recognition (NER) task. We vary the character-level representation ...

“We replace the dense feed-forward network (FFN) layer present in the Transformer with a sparse Switch FFN layer. The layer operates independently on the tokens in the sequence. We diagram two tokens ...