IEEE

Learning to Prompt with Refining Text Knowledge for Zero-shot Video Action Recognition

Abstract: Foundational vision-language models (VLMs) like CLIP are redefining the vision domain with their exceptional generalization capabilities. Prompt-based learning methods adapt pre-trained VLMs ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...
IEEE

Analysis of Online Learning Behavior in Java Programming Design Courses using a Hybrid Machine Learning Approach

Abstract: With the increasing integration of digital platforms in computer science education, understanding student behavior in online Java programming design courses has become essential for ...