3 accepted papers
Effectively scaling Reinforcement Learning (RL) is crucial for enhancing the reasoning and alignment of Large Language Models. The massive data and complex execution flows inherent in these tasks require a distributed architecture capable of efficient scaling. However, to simplify programming and de…
Current state-of-the-art unsupervised anomalous sound detection (ASD) methods typically rely on manually annotated attribute information as labels, employing auxiliary classification tasks to learn an embedding space for normal sounds, which helps detect anomalies deviating from this space. However,…
Aquatic animal movement results from a complex balance between muscular actuation, swimmer's inertia, damping, and stiffness; as well as, the effects from the fluid environment. Most aquatic animals utilize undulatory propulsion methods during swimming. Propulsion mode transition involves a variatio…