3 accepted papers
The deployment of Large Language Models is constrained by the memory and bandwidth demands of static weights and dynamic Key-Value cache. SVD-based compression provides a hardware-friendly solution to reduce these costs. However, existing methods suffer from two key limitations: some are suboptimal …
Image-goal navigation is a crucial yet challenging task that requires an agent to navigate to a goal location specified by an image. Modular methods decompose the problem into distinct subtasks and often involve explicit map construction, which can struggle in complex, unstructured environments. In
Target-driven visual navigation is a long-standing objective in the field of robotics. Deep reinforcement learning methods have demonstrated their effectiveness in developing target-driven visual navigation policies, yet they often struggle with generalization. Although extended reinforcement learni