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Found 9 papers, 4 papers with code
Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels
We demonstrate that the sparse mechanism approach outperforms the dense one for the local self-attention in terms of predictive performance with a publicly available dataset, and puts higher attention to prespecified relevant directive words.
Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical Domain
Multilingual Neural Machine Translation (MNMT) models leverage many language pairs during training to improve translation quality for low-resource languages by transferring knowledge from high-resource languages.
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
This often leads to drop in the performance of neural models for prospective patients, especially in terms of their calibration.
Latent Variable Model for Multi-modal Translation
In this work, we propose to model the interaction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable model.
Ranked #9 on
Multimodal Machine Translation
on Multi30K
Deep Generative Model for Joint Alignment and Word Representation
This work exploits translation data as a source of semantically relevant learning signal for models of word representation.
