Tag: PHD

Title Understanding the Embedding Space in Continual and Federated Learning. Abstract Neural networks are extensively used throughout computer vision for a wide range of tasks, where the networks are typically trained on datasets in a single training session. However, enabling these networks to learn continually is challenging as new data arrive over time and models…

Title The Analysis and Continual Learning of Deep Feature Representations. Abstract Artificial Intelligence (AI) is having an enormous impact across diverse application fields, from autonomous driving to drug discovery. This progress is predominantly driven by deep learning, a technology whose performance scales with data availability. As the demand for large datasets grows, researchers have developed…