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Found 2 papers, 1 papers with code
Active Learning for Neural Machine Translation
This work uses transformer-based NMT systems; baseline model (BM), fully trained model (FTM) , active learning least confidence based model (ALLCM), and active learning margin sampling based model (ALMSM) when translating English to Hindi.
On-Device User Intent Prediction for Context and Sequence Aware Recommendation
Through a neighborhood searching method followed by a sequence matching algorithm, we search for the most relevant node to make the prediction.
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