Journal of Machine Learning Research • 2023
This paper presents novel approaches to optimize neural network training through adaptive learning rate schedules, achieving 30% faster convergence on standard benchmarks.
International Conference on Software Engineering • 2022
A comprehensive study of architectural patterns for building scalable real-time web applications with a focus on WebSocket implementations and load balancing strategies.
IEEE Transactions on Pattern Analysis • 2021
Explores practical applications of transfer learning techniques in computer vision tasks, demonstrating significant performance improvements with limited training data.