IEEE

End-to-End Open-Set Semi-Supervised Learning for Fine-Grained Encrypted Traffic Classification

Abstract: Encrypted traffic classification is crucial for enhancing network management, service quality, and security. However, real-world network environments are inherently open-world scenarios in ...
GitHub

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

aMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada ...
IEEE

Spatial-Spectral Enhancement Contrastive Learning Network for Few-Shot Hyperspectral Image Classification

Abstract: Few-shot hyperspectral image (HSI) classification plays a crucial role in the field of remote sensing with the rapid development of deep learning. However, few-shot HSI classification ...