By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...
The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
Right now, molecules in the air are moving around you in chaotic and unpredictable ways. To make sense of such systems, physicists use a law known as the Boltzmann distribution, which, rather than ...
Right now, molecules in the air are moving around you in chaotic and unpredictable ways. To make sense of such systems, physicists use a law known as ...
Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...
Abstract: Knowledge distillation (KD), a learning manner with a larger teacher network guiding a smaller student network, transfers dark knowledge from the teacher to the student via logits or ...
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