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1811.08737
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SpotTune: Transfer Learning through Adaptive Fine-tuning
21 November 2018
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
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Papers citing
"SpotTune: Transfer Learning through Adaptive Fine-tuning"
50 / 183 papers shown
Title
Token Coordinated Prompt Attention is Needed for Visual Prompting
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Guan Wang
Yang Li
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A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
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Sudip Vhaduri
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05 Apr 2025
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Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
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Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
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27 Mar 2025
Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning
Chikai Shang
Mengke Li
Yiqun Zhang
Zhen Chen
Jinlin Wu
Fangqing Gu
Yang Lu
Yiu-ming Cheung
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69
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10 Mar 2025
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning
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C. J. Li
QiXiang Ye
Tong Zhang
MoE
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03 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Z. Li
Ricardo Silva
N. Zhang
69
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0
29 Nov 2024
Fine-tuning -- a Transfer Learning approach
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Linglong Qian
Zina M. Ibrahim
30
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Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing
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M. Fiaz
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0
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Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities
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Damodar Panigrahi
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Harnessing Artificial Intelligence for Wildlife Conservation
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C. Chalmers
Steve Longmore
Serge Wich
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30 Aug 2024
Adapting Image-based RL Policies via Predicted Rewards
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Xinyuan Fang
Gregory D. Hager
34
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23 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu
Xiaopeng Hong
Zhiheng Ma
Weijun Zhuang
Yaohui Ma
Yong Dai
Yaowei Wang
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Huixin Zhang
Shubham Parashar
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Comparison of fine-tuning strategies for transfer learning in medical image classification
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Runchu Dong
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Data Selection for Transfer Unlearning
N. Sepahvand
Vincent Dumoulin
Eleni Triantafillou
Gintare Karolina Dziugaite
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Zhengyi Lin
Fangming Liu
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KITE: A Kernel-based Improved Transferability Estimation Method
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Robust Fine-tuning for Pre-trained 3D Point Cloud Models
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Cheng Jin
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Josh Millar
Yuxuan Long
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Hamed Haddadi
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23 Mar 2024
On the low-shot transferability of [V]-Mamba
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Antonio Orvieto
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15 Mar 2024
Efficient Transferability Assessment for Selection of Pre-trained Detectors
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
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NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
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Blesson Varghese
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21 Feb 2024
Revisiting the Power of Prompt for Visual Tuning
Yuzhu Wang
Lechao Cheng
Chaowei Fang
Dingwen Zhang
Manni Duan
Meng Wang
VLM
46
14
0
04 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins
F. Fahimi
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Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
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Yi-Ling Chung
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John Francis
Angus R. Williams
Pica Johansson
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Pre-trained Trojan Attacks for Visual Recognition
Aishan Liu
Xinwei Zhang
Yisong Xiao
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Siyuan Liang
Jiakai Wang
Xianglong Liu
Xiaochun Cao
Dacheng Tao
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61
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Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
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H. Han
Maolong Lv
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Jian Cheng
OffRL
18
2
0
16 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning
Zhi Zhang
Qizhe Zhang
Zijun Gao
Renrui Zhang
Ekaterina Shutova
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Shanghang Zhang
28
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Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning
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Marzi Heidari
Yuhong Guo
26
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Efficient Stitchable Task Adaptation
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Zizheng Pan
Jing Liu
Jianfei Cai
Bohan Zhuang
24
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Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-16
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T. L. V. Zyl
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Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
Junyoung Park
Jin-Hwa Kim
Hyeongjun Kwon
Ilhoon Yoon
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Fast Trainable Projection for Robust Fine-Tuning
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Yen-Cheng Liu
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Z. Kira
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Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
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Nebiyou Yismaw
Rakib Hyder
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Selective Feature Adapter for Dense Vision Transformers
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Qi Fan
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RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
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Toward efficient resource utilization at edge nodes in federated learning
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A. Hellander
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Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models
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Lingqiao Liu
Hao Chen
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Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
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Shubin Huang
Xiaoshuai Sun
R. Ji
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Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
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GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
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Yang Hua
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AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
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