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Found 4 papers, 2 papers with code
A Package for Learning on Tabular and Text Data with Transformers
Recent progress in natural language processing has led to Transformer architectures becoming the predominant model used for natural language tasks.
Shrinking Bigfoot: Reducing wav2vec 2.0 footprint
Using a teacher-student approach, we distilled the knowledge from the original wav2vec 2. 0 model into a student model, which is 2 times faster and 4. 8 times smaller than the original model.
Generative Adversarial Networks for text using word2vec intermediaries
Generative adversarial networks (GANs) have shown considerable success, especially in the realistic generation of images.
Augmenting word2vec with latent Dirichlet allocation within a clinical application
This paper presents three hybrid models that directly combine latent Dirichlet allocation and word embedding for distinguishing between speakers with and without Alzheimer's disease from transcripts of picture descriptions.
