Abstract: Prompt tuning is a valuable technique for adapting visual language models (VLMs) to different downstream tasks, such as domain generalization and learning from a few examples. Previous ...

Existing parameter-efficient fine-tuning (PEFT) methods have achieved significant success on vision transformers (ViTs) adaptation by improving parameter efficiency. However, the exploration of ...

GTA 5’s online mode has just received a brand new drift tuning mechanism as part of the Chop Shop DLC update released on December 12, 2023. Players can only dive into these newly added Drift Races ...

Abstract: Large models have accelerated the development of intelligent interpretation in remote sensing. Many remote sensing foundation models (RSFM) have emerged in recent years, sparking a new wave ...

CALF (Orignal name: LLaTA) is a novel cross-modal fine-tuing framework that effectively bridges the distribution discrepancy between temporal data and the textual nature of LLMs, as shown in Figure 1.

Synaptic plasticity, such as long-term potentiation (LTP) and long-term depression (LTD), must be tightly regulated to prevent saturation, which would impair learning. Metaplasticity mechanisms have ...