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Hierarchical Recurrent Neural Networks (HRNN) is an important advance in improving efficiency and performance of sequence classification in recent years.
Hierarchical Recurrent Neural Networks (HRNN) is an important advance in improving efficiency and performance of sequence classification in recent years.
The intuition behind this approach is to slice long sequences into many short sub-sequences and process them in parallel, then capturing the long-term.
Nov 30, 2023 · In this paper, we propose a gated linear RNN model dubbed Hierarchically Gated Recurrent Neural Network (HGRN), which includes forget gates that are lower ...
Missing: Sliding | Show results with:Sliding
Nov 8, 2023 · This allows the upper layers to model long-term dependencies and the lower layers to model more local, short-term dependencies. Experiments on ...
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Nov 8, 2023 · In this paper, we propose a gated linear RNN model dubbed Hierarchically Gated Recurrent Neural Network (HGRN), which includes forget gates that are lower ...
Missing: Sliding | Show results with:Sliding
Jul 27, 2017 · Methods: · Combines the previous cell state with the input. · Creates a new output · Updates the hidden state after passing the previous cell state ...
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