IEEE

Few-Shot Contrastive Learning for Cross-Task Stroke Prognosis Prediction with Multimodal Data

Abstract: Predicting stroke outcome remains challenging due to inherent heterogeneity, misalignment of multimodal clinical data, and the availability of well-annotated longitudinal datasets. Current ...
IEEE

Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models

Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.
GitHub

Contrastive Mean Teacher for Robust Low-Light Image Enhancement

This repository provides the official implementation for the paper "Contrastive Mean Teacher for Robust Low-Light Image Enhancement", Arxiv, 2025. [2025-06-28] The test codes, pre-trained weights and ...
GitHub

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

Welcome to the official codebase for Franca (pronounced Fran-ka), the first fully open-source vision foundation model—including data, code, and pretrained weights. Franca matches or surpasses the ...