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Found 3 papers, 1 papers with code
Empirical Evaluation of Active Learning Techniques for Neural MT
Finally, we propose a neural extension for an AL sampling method used in the context of phrase-based MT - Round Trip Translation Likelihood (RTTL).
Improving Robustness of Neural Machine Translation with Multi-task Learning
While neural machine translation (NMT) achieves remarkable performance on clean, in-domain text, performance is known to degrade drastically when facing text which is full of typos, grammatical errors and other varieties of noise.
A Unified Framework for Community Detection and Network Representation Learning
Network representation learning (NRL) aims to learn low-dimensional vectors for vertices in a network.
Social and Information Networks Physics and Society
