Add a description, image, and links to the hinghlish-nlp-transformer topic page so that developers can more easily learn about it.

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...

Introduction: Identification and treatment of neurological disorders depend much on brain imaging and neurotherapeutic decision support. Although they are loud, do not remain in one spot, and are ...

Add a description, image, and links to the nlp-transformer-lstm-pytorch-huggingface-jupyter topic page so that developers can more easily learn about it.

The Kennedy College of Sciences, Miner School of Computer & Information Sciences, invites you to attend a doctoral thesis defense by Madhavi Pagare on "Causal Learning-Enabled Hierarchical ...

Abstract: Transformer is a strong model proposed by Google team in 2017. It was a huge improvement that it entirely abandons the mechanism of Recurrent Neural Network (RNN) and Convolutional Neural ...

Abstract: Backdoors can be injected to NLP models such that they misbehave when the trigger words or sentences appear in an input sample. Detecting such backdoors given only a subject model and a ...