Papers with on-device sequence model

1 papers
ProSeqo: Projection Sequence Networks for On-Device Text Classification (D19-1)

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Challenge: ProSeqo is a novel on-device sequence model for text classification . it uses dynamic recurrent projections without the need to store or look up pre-trained embeddings.
Approach: They propose a novel on-device sequence model for text classification using recurrent projections that uses dynamic recursion projections without the need to store or look up any pre-trained embeddings.
Outcome: The proposed model outperforms state-of-the-art neural and on-device approaches for short and long text classification tasks while maintaining low memory footprint and high accuracy.

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