Etiqueta: Non-fine-tunable learning

Create an illustration in a vibrant and cheerful style in a 3:2 aspect ratio. The image should vividly describe the core concept of the article. It should represent a new learning paradigm - Non-fine-tunability, designed to prevent misuse of pre-trained models for inappropriate tasks. Show a fortified labyrinth containing a brain-like computer model representing the SOPHON protection framework. The labyrinth's complexity signifies overhead comparable to or greater than training from scratch when fine-tuning in restricted domains, thus resisting misuse of this model. This illustration should be filled with light colors to indicate positivity and bright future prospects of this technology.

Sophon: Aprendizaje no ajustable para limitar la transferibilidad de tareas en modelos preentrenados

El trabajo de investigación introduce un nuevo paradigma de aprendizaje denominado aprendizaje no afinable, cuyo…
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Deep learning Non-fine-tunable learning Pre-trained models Sophon Transfer learning