Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
Adapting large-scale pre-trained generative models in a parameter-efficient manner is
gaining traction. Traditional methods like low rank adaptation achieve parameter efficiency …
gaining traction. Traditional methods like low rank adaptation achieve parameter efficiency …
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L Wang, S Chen, L Jiang, S Pan, R Cai, S Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
The large models, as predicted by scaling raw forecasts, have made groundbreaking
progress in many fields, particularly in natural language generation tasks, where they have …
progress in many fields, particularly in natural language generation tasks, where they have …