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Training Dynamics of Transformers on Unbounded Inputs: Attention Learning Can Lag Output Layer Learning

Han, Yaomengxi et al.
arXiv (All) · Papers
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machine-learning
The success of transformers is attributed to several factors, including their capacity to express formal languages over variable-length inputs, and ability of the attention mechanism to focus on relevant input features. However, there is limited understanding of the training dynamics of shallow tran
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