The last decade of machine learning has seen drastic increases in scale and capabilities.
Deep neural networks (DNNs) are increasingly being deployed in the real world. However …

With the remarkable development and widespread applications of large language models
(LLMs), the use of machine-generated text (MGT) is becoming increasingly common. This …

With the rapid development and widespread application of Large Language Models (LLMs),
the use of Machine-Generated Text (MGT) has become increasingly common, bringing with …

In this work, we introduce the Prototypical Transformer (ProtoFormer), a general and unified
framework that approaches various motion tasks from a prototype perspective. ProtoFormer …

The pre-trained language model based on Transformers possesses exceptional general text-
understanding capabilities, empowering it to adeptly manage a variety of tasks. However …

Few-shot semantic segmentation aims to extract information from few annotated support
images to segment unknown class objects in the query image. Traditional algorithms may …

Membership inference attacks (MIAs) are currently considered one of the main privacy attack
strategies, and their defense mechanisms have also been extensively explored. However …

In recent years, pre-trained language models based on Transformer have brought significant
breakthroughs to natural language processing (NLP) tasks. Their outstanding performance …