The past decade has witnessed a plethora of works that leverage the power of visualization
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …

Assigning discriminable and harmonic colors to samples according to their class labels and
spatial distribution can generate attractive visualizations and facilitate data exploration …

Large language models (LLMs) have gained popularity in various fields for their exceptional
capability of generating human-like text. Their potential misuse has raised social concerns …

Abstract Domain adaptation has been extensively explored in object detection. Through the
utilization of self-training and the decoupling of adversarial feature learning from the training …

Large Language Models (LLMs) are powerful but also raise significant security concerns,
particularly regarding the harm they can cause, such as generating fake news that …

Training efficiency plays a pivotal role in deep learning. This paper begins by analyzing
current methods for enhancing efficiency, highlighting the necessity of optimizing targets, a …