Frozen Weights as Prior for Parameter-Efficient Fine-Tuning

Frozen Weights as Prior for Parameter-Efficient Fine-Tuning

In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. However, the full fine-tuning approach often comes with a hefty cost, which is not feasible for many...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan, Ningning Ma, Wenqiang Liu, Xuefang Wang, Ruichun Tang
التنسيق: مقال
اللغة:English
منشور في: IEEE 2025-01-01
سلاسل:IEEE Access
الموضوعات:
Fine-tuning
PEFT
large pre-trained models
transfer learning
adaptation
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10840174/

الانترنت

https://ieeexplore.ieee.org/document/10840174/

مواد مشابهة