Weakly supervised object localization (WSOL) remains challenging when learning object
localization models from image category labels. Conventional methods that discriminatively …

Code models, such as CodeBERT and CodeT5, offer general-purpose representations of
code and play a vital role in supporting downstream automated software engineering tasks …

Differential Privacy (DP) image data synthesis, which leverages the DP technique to
generate synthetic data to replace the sensitive data, allowing organizations to share and …

Image segmentation based on continual learning exhibits a critical drop of performance,
mainly due to catastrophic forgetting and background shift, as they are required to …

The increasing use of Machine Learning (ML) software can lead to unfair and unethical
decisions, thus fairness bugs in software are becoming a growing concern. Addressing …

Current video text spotting methods can achieve preferable performance, powered with
sufficient labeled training data. However, labeling data manually is time-consuming and …

Artificial Intelligence (AI) systems, which benefit from the availability of large-scale datasets
and increasing computational power, have become effective solutions to various critical …

Cyber-Physical Systems (CPSs) are increasingly prevalent across various industrial and
daily-life domains, with applications ranging from robotic operations to autonomous driving …

As automated speech recognition (ASR) systems gain widespread acceptance, there is a
pressing need to rigorously test and enhance their performance. Nonetheless, the process …

Differential Privacy (DP) image data synthesis, which leverages the DP technique to
generate synthetic data to replace the sensitive data, allowing organizations to share and …