Abstract: Parameter-efficient fine-tuning (PEFT) is utilized to adapt large pre-trained machine learning (ML) models to new tasks using a small number of trainable parameters. In particular, Low-Rank ...

From its origins in a garage to becoming one of the most recognisable symbols in the world, explore the story behind the iconic Apple logo design. Apple is a company that has changed the technology ...

Recently, Parameter-Efficient Fine-Tuning (PEFT) methods have shown great potential in natural language processing tasks, but their effectiveness in computer vision tasks, especially in face ...