Real-time sequence identification is a core use-case of artificial neural networks (ANNs), ranging from recognizing temporal events to identifying verification codes. Existing methods apply recurrent ...
The quadratic computational complexity of the self-attention mechanism in Transformer models severely constrains their applicability to long sequence inputs. We propose Contextual Priority Attention ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results