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Found 4 papers, 2 papers with code
Large-scale Training of Foundation Models for Wearable Biosignals
Tracking biosignals is crucial for monitoring wellness and preempting the development of severe medical conditions.
Consistent Transcription and Translation of Speech
To address various shortcomings of this paradigm, recent work explores end-to-end trainable direct models that translate without transcribing.
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).
Jointly Learning to Align and Translate with Transformer Models
The state of the art in machine translation (MT) is governed by neural approaches, which typically provide superior translation accuracy over statistical approaches.
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