Abstract: Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning approach. This method transforms a text input into a ...

Abstract: Thanks to the Automatic Identification System (AIS), ships and other maritime equipment are able to communicate with each other, for example, by sending information about their position.

For this report, Reddit posts and comments were classified using the following prompts to GPT-4.1 mini. The prompts were designed to mirror the codebooks that our research team used to create the ...

The International Classification of Diseases, or ICD, is a classification system for all physical and mental diseases produced by the World Health Organization (WHO). It’s used for diagnosis, research ...

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...

If you want a straightforward document about the wine you’re about to drink, its label may not be that helpful. As we’ve discussed before with the opaque world of “reserve” and “grand reserve,” “grand ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...

Multi-label classification with SimCLR is available. See another repo of mine PyTorch Image Models With SimCLR. You would get higher accuracy when you train the model with classification loss together ...