Abstract: Transformers have gained prominence in natural language processing due to their representational capabilities and performances. Transformers process natural language as a sequence on finite ...

To develop the tutorial code, I referred to the repository of the MARS dataset used in the paper: [GitHub] First, as instructed in the README of the MARS repository ...

Abstract: Neural architecture search (NAS) is crucial for text representation in natural language processing (NLP); however, much less work on NAS for text classification has been proposed compared ...

While testing both eager and aot_eager modes, I observed that aot_eager does not capture exceptions as expected. I found that during graph optimization, the torch.cuda.synchronize() call is removed in ...