Бірлескен шығын функциясы

method ID: jointlossfunction

Related Papers

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractNeural Machine Translation (NMT) models are known to suffer from noisy inputs. To make models robust, we generate adversarial augmentation samples that attack the model and preserve the source-side meaning …...

29044

Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractMultitask deep learning has been applied to patient outcome prediction from text, taking clinical notes as input and training deep neural networks with a joint loss function of multiple tasks. …...

43041