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Found 5 papers, 0 papers with code
Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda
Depression is a global burden and one of the most challenging mental health conditions to control.
Fast Training of NMT Model with Data Sorting
The Transformer model has revolutionized Natural Language Processing tasks such as Neural Machine Translation, and many efforts have been made to study the Transformer architecture, which increased its efficiency and accuracy.
Building a Parallel Corpus and Training Translation Models Between Luganda and English
Neural machine translation (NMT) has achieved great successes with large datasets, so NMT is more premised on high-resource languages.
Adversarial Training with Contrastive Learning in NLP
In this work, we propose adversarial training with contrastive learning (ATCL) to adversarially train a language processing task using the benefits of contrastive learning.
Deep Neural Networks and End-to-End Learning for Audio Compression
We apply a reparametrization trick for the Bernoulli distribution for the discrete representations, which allows smooth backpropagation.
