3 accepted papers
Multi-agent reinforcement learning (MARL) excels in cooperative and competitive tasks, but most architectures are tied to fixed input-output sizes and require retraining when the number of perceptible or controllable objects changes. While structural generalization techniques mitigate this, they rel
Semantic caching has emerged as a pivotal technique for scaling LLM applications, widely adopted by major providers including AWS and Microsoft. By utilizing semantic embedding vectors as cache keys, this mechanism effectively minimizes latency and redundant computation for semantically similar quer…
Screen content images (SCIs) are composed of text, graphics, natural scene images and other contents, for which the human eye will have different visual perception for different regions. Considering the impact of local distortions on the visual quality of the entire SCIs, this paper proposes a no-re…