Attribute Information

Attribute information, encompassing diverse characteristics associated with data points or objects, is crucial for improving the performance and applicability of various machine learning models. Current research focuses on leveraging attribute information to enhance model training, particularly in areas like language model pretraining, person attribute recognition, and weakly supervised learning tasks, often employing techniques such as cross-transformers and knowledge-guided relation graphs. This work is significant because effectively utilizing attribute information leads to more accurate and efficient models across a range of applications, from improving the quality of large language models to enabling more robust and resource-efficient computer-aided diagnosis.