One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

13 June 2023

Papers citing "One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning"

17 / 17 papers shown

Title
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 42 0 0 12 Jan 2025
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 55 2 0 25 Sep 2024
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation Yurun Song Junchen Zhao Ian G. Harris S. Jyothi 27 3 0 16 Jun 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts Samar Khanna Medhanie Irgau David B. Lobell Stefano Ermon VLM 28 4 0 16 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou S. Song Jianlong Wu Liqiang Nie Bernard Ghanem 45 6 0 07 Jun 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation Can Yaras Peng Wang Laura Balzano Qing Qu AI4CE 27 12 0 06 Jun 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking Jialin Li Qiang Nie Weifu Fu Yuhuan Lin Guangpin Tao Yong-Jin Liu Chengjie Wang 25 4 0 07 Mar 2024
Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models Ibtihel Amara Vinija Jain Aman Chadha 20 0 0 12 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification Victor G. Turrisi da Costa Nicola Dall’Asen Yiming Wang N. Sebe Elisa Ricci 33 2 0 05 Dec 2023
Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying Adithya Renduchintala Tugrul Konuk Oleksii Kuchaiev MoMe 16 41 0 16 Nov 2023
Aggregate, Decompose, and Fine-Tune: A Simple Yet Effective Factor-Tuning Method for Vision Transformer Dongping Chen 17 3 0 12 Nov 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming Yang F. Khan VLM 18 116 0 25 Jul 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 19 18 0 23 Dec 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 141 631 0 26 May 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,484 0 11 Jan 2021