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Revisiting the Parameter Efficiency of Adapters from the Perspective of
  Precision Redundancy

Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy

31 July 2023
Shibo Jie
Haoqing Wang
Zhiwei Deng
ArXivPDFHTML

Papers citing "Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy"

9 / 9 papers shown
Title
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
Yaming Zhang
Chenqiang Gao
Fangcen Liu
Junjie Guo
Lan Wang
Xinggan Peng
Deyu Meng
87
0
0
21 Dec 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
44
3
0
24 Oct 2024
Low-Rank Interconnected Adaptation Across Layers
Low-Rank Interconnected Adaptation Across Layers
Yibo Zhong
Yao Zhou
OffRL
MoE
38
1
0
13 Jul 2024
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer
  Attention Modules
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules
Xiangyu Chen
Jing Liu
Ye Wang
Pu Wang
Matthew Brand
Guanghui Wang
T. Koike-Akino
35
7
0
18 Mar 2024
Consolidator: Mergeable Adapter with Grouped Connections for Visual
  Adaptation
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Tianxiang Hao
Hui Chen
Yuchen Guo
Guiguang Ding
42
16
0
30 Apr 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
141
637
0
26 May 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,261
0
02 Sep 2021
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
117
324
0
24 Sep 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
1