Abstract: The consistency training (CT)-based semi-supervised learning (SSL) bites state-of-the-art performance on SSL-based image classification. However, the existing CT-based SSL methods do not ...

We propose CatVersion, an inversion-based method that learns the personalized concept through a handful of examples. Subsequently, users can utilize text prompts to generate images that embody the ...

embcli is a command-line interface with a collection of plugins that provide access to various embedding models and vector stores, allowing users to test and compare their performance from the ...

Abstract: Motivated by the emergence of large language models, we conduct a benchmark of sentence embeddings used to represent short texts in textual stream clustering. We achieve comparable results ...