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Found 5 papers, 3 papers with code
LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
We have built a community on LangGPT to facilitate the tuition and sharing of prompt design.
On optimal tracking portfolio in incomplete markets: The classical control and the reinforcement learning approaches
This paper studies an infinite horizon optimal tracking portfolio problem using capital injection in incomplete market models.
CLIP Brings Better Features to Visual Aesthetics Learners
Specifically, we first integrate and leverage a multi-source unlabeled dataset to align rich features between a given visual encoder and an off-the-shelf CLIP image encoder via feature alignment loss.
Box-Level Active Detection
Active learning selects informative samples for annotation within budget, which has proven efficient recently on object detection.
Unsupervised Learning of Local Discriminative Representation for Medical Images
However, the commonly applied supervised representation learning methods require a large amount of annotated data, and unsupervised discriminative representation learning distinguishes different images by learning a global feature, both of which are not suitable for localized medical image analysis tasks.
