IEEE

MSCC-ViT:A Multiscale Visual-Transformer Network Using Convolution Crossing Attention for Hyperspectral Unmixing

Abstract: Deep-learning-based methods are increasingly being applied in hyperspectral image unmixing (HSU) tasks, among which the transformer model has shown superior performance and faster processing ...
GitHub

VAR: a new visual generation method elevates GPT-style models beyond diffusion & Scaling laws observed

🕹️ Try and Play with VAR! We provide a demo website for you to play with VAR models and generate images interactively. Enjoy the fun of visual autoregressive modeling! We provide a demo website for ...
IEEE

Flexible and Secure Code Deployment in Federated Learning using Large Language Models: Prompt Engineering to Enhance Malicious Code Detection

Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...
GitHub

Language Server for Kotlin

The project is in an experimental, pre-alpha, exploratory phase with the intention to be productionized. We move fast, break things, and explore various aspects of the seamless developer experience ...