Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge domain gap and the scarcity of multi-modal data.

Human-centric systems (HCSs), e.g. , used in healthcare facilities [ Given the long testing horizon ( e.g. , several years, or semesters, in healthcare, and IE, respectively) and the high cost of recruiting participants, online testing is considered exceedingly The work was done at North Carolina State University. In this section, we introduce the FPS method, which determines the policy to be deployed to new participants that join an existing cohort, conditioned only on their initial states.

However, practical model deployment often operates in the gap between these two limit cases, as real-world applications demand adaptation to specific subdomains, tasks or concepts -- spread over the entire, varying life cycle of a model.

The lack of interpretability in the field of medical image analysis has significant ethical and legal implications.

We collect 312 programs from various sources, including daily programs from college homework, the international competition (SV -COMP), benchmarks from previous papers (SLING), and programs from real-world software systems (Linux Kernel, GlibC, LiteOS, and Zephyr).

The application of reinforcement learning (RL) involving interactions with individuals has grown significantly in recent years.

In real-world applications, the distribution of the data, and our goals, evolve over time.

We introduce a new continual learning framework with explicit modeling of the label delay between data and label streams over time steps.