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Found 5 papers, 3 papers with code
Error analysis of generative adversarial network
In this research, we focus on studying the error convergence rate of the GAN model that is based on a class of functions encompassing the discriminator and generator neural networks.
Visual Question Generation in Bengali
Our quantitative and qualitative results establish the first state of the art models for VQG task in Bengali and demonstrate that our models are capable of generating grammatically correct and relevant questions.
The objective function equality property of infoGAN for two-layer network
Information Maximizing Generative Adversarial Network (infoGAN) can be understood as a minimax problem involving two networks: discriminators and generators with mutual information functions.
Natural Language Processing and Sentiment Analysis on Bangla Social Media Comments on Russia–Ukraine War Using Transformers
However, the growth of research for tasks such as sentiment analysis (SA) in Bangla is relatively low compared to SA in the English language.
Preterm Birth Prediction of Pregnant Women in Post Conization Period Using Machine Learning Techniques
Pregnant women who underwent excisional surgeries (conization) for cervical intraepithelial neoplasia (CIN) display high risks of preterm birth.
