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SpotTune: Transfer Learning through Adaptive Fine-tuning

SpotTune: Transfer Learning through Adaptive Fine-tuning

21 November 2018
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
ArXivPDFHTML

Papers citing "SpotTune: Transfer Learning through Adaptive Fine-tuning"

50 / 183 papers shown
Title
Token Coordinated Prompt Attention is Needed for Visual Prompting
Token Coordinated Prompt Attention is Needed for Visual Prompting
Zichen Liu
Xu Zou
Gang Hua
Jiahuan Zhou
34
0
0
05 May 2025
A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
Andreas Karathanasis
John Violos
I. Kompatsiaris
Symeon Papadopoulos
27
0
0
29 Apr 2025
Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation
Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation
Enming Zhang
Z. Li
Yanru Wu
J. Wang
Yang Tan
Ruizhe Zhao
Guan Wang
Yang Li
ViT
33
0
0
08 Apr 2025
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
Andrea Gajic
Sudip Vhaduri
OOD
VLM
51
0
0
05 Apr 2025
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
Guanqiao Qu
Qian Chen
Xianhao Chen
Kaibin Huang
Yuguang Fang
46
1
0
29 Mar 2025
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
Minho Park
S. Park
Jungsoo Lee
Hyojin Park
Kyuwoong Hwang
Fatih Porikli
Jaegul Choo
Sungha Choi
34
0
0
28 Mar 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
102
0
0
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
VLM
69
0
0
10 Mar 2025
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning
Z. Wang
C. J. Li
QiXiang Ye
Tong Zhang
MoE
74
1
0
03 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
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
0
0
29 Nov 2024
Fine-tuning -- a Transfer Learning approach
Fine-tuning -- a Transfer Learning approach
Joseph Arul Raj
Linglong Qian
Zina M. Ibrahim
30
0
0
06 Nov 2024
Improving 3D Medical Image Segmentation at Boundary Regions using Local
  Self-attention and Global Volume Mixing
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing
Daniya Najiha Abdul Kareem
M. Fiaz
Noa Novershtern
Jacob Hanna
Hisham Cholakkal
34
3
0
20 Oct 2024
Transfer Learning Applied to Computer Vision Problems: Survey on Current
  Progress, Limitations, and Opportunities
Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities
Aaryan Panda
Damodar Panigrahi
Shaswata Mitra
Sudip Mittal
Shahram Rahimi
23
0
0
12 Sep 2024
Harnessing Artificial Intelligence for Wildlife Conservation
Harnessing Artificial Intelligence for Wildlife Conservation
Paul Fergus
C. Chalmers
Steve Longmore
Serge Wich
23
5
0
30 Aug 2024
Adapting Image-based RL Policies via Predicted Rewards
Adapting Image-based RL Policies via Predicted Rewards
Weiyao Wang
Xinyuan Fang
Gregory D. Hager
34
0
0
23 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for
  Continual Test-Time Adaptation
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
CLL
TTA
35
2
0
12 Jul 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Tian Liu
Huixin Zhang
Shubham Parashar
Shu Kong
24
2
0
17 Jun 2024
Comparison of fine-tuning strategies for transfer learning in medical
  image classification
Comparison of fine-tuning strategies for transfer learning in medical image classification
Ana Davila
Jacinto Colan
Yasuhisa Hasegawa
19
17
0
14 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
31
1
0
05 Jun 2024
Data Selection for Transfer Unlearning
Data Selection for Transfer Unlearning
N. Sepahvand
Vincent Dumoulin
Eleni Triantafillou
Gintare Karolina Dziugaite
MU
37
4
0
16 May 2024
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge
  Networks
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
Guanqiao Qu
Zhengyi Lin
Fangming Liu
Xianhao Chen
Kaibin Huang
35
16
0
07 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method
KITE: A Kernel-based Improved Transferability Estimation Method
Yunhui Guo
43
0
0
01 May 2024
Robust Fine-tuning for Pre-trained 3D Point Cloud Models
Robust Fine-tuning for Pre-trained 3D Point Cloud Models
Zhibo Zhang
Ximing Yang
Weizhong Zhang
Cheng Jin
3DPC
36
1
0
25 Apr 2024
Towards Low-Energy Adaptive Personalization for Resource-Constrained
  Devices
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
Yushan Huang
Josh Millar
Yuxuan Long
Yuchen Zhao
Hamed Haddadi
31
0
0
23 Mar 2024
On the low-shot transferability of [V]-Mamba
On the low-shot transferability of [V]-Mamba
Diganta Misra
Jay Gala
Antonio Orvieto
Mamba
37
1
0
15 Mar 2024
Efficient Transferability Assessment for Selection of Pre-trained
  Detectors
Efficient Transferability Assessment for Selection of Pre-trained Detectors
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
32
0
0
14 Mar 2024
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
Dhananjay Saikumar
Blesson Varghese
16
1
0
21 Feb 2024
Revisiting the Power of Prompt for Visual Tuning
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
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins
F. Fahimi
AI4CE
19
0
0
01 Feb 2024
Cheap Learning: Maximising Performance of Language Models for Social
  Data Science Using Minimal Data
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
Leonardo Castro-Gonzalez
Yi-Ling Chung
Hannak Rose Kirk
John Francis
Angus R. Williams
Pica Johansson
Jonathan Bright
42
1
0
22 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning
AutoFT: Learning an Objective for Robust Fine-Tuning
Caroline Choi
Yoonho Lee
Annie S. Chen
Allan Zhou
Aditi Raghunathan
Chelsea Finn
OOD
37
0
0
18 Jan 2024
Pre-trained Trojan Attacks for Visual Recognition
Pre-trained Trojan Attacks for Visual Recognition
Aishan Liu
Xinwei Zhang
Yisong Xiao
Yuguang Zhou
Siyuan Liang
Jiakai Wang
Xianglong Liu
Xiaochun Cao
Dacheng Tao
AAML
61
25
0
23 Dec 2023
Analyzing Generalization in Policy Networks: A Case Study with the
  Double-Integrator System
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang
H. Han
Maolong Lv
Qisong Yang
Jian Cheng
OffRL
18
2
0
16 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning
Gradient-based Parameter Selection for Efficient Fine-Tuning
Zhi Zhang
Qizhe Zhang
Zijun Gao
Renrui Zhang
Ekaterina Shutova
Shiji Zhou
Shanghang Zhang
28
15
0
15 Dec 2023
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning
Abdullah Alchihabi
Marzi Heidari
Yuhong Guo
26
0
0
06 Dec 2023
Efficient Stitchable Task Adaptation
Efficient Stitchable Task Adaptation
Haoyu He
Zizheng Pan
Jing Liu
Jianfei Cai
Bohan Zhuang
24
3
0
29 Nov 2023
Comparing Male Nyala and Male Kudu Classification using Transfer
  Learning with ResNet-50 and VGG-16
Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-16
T. T. Lemani
T. L. V. Zyl
14
0
0
10 Nov 2023
Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
Junyoung Park
Jin-Hwa Kim
Hyeongjun Kwon
Ilhoon Yoon
Kwanghoon Sohn
25
7
0
10 Nov 2023
Fast Trainable Projection for Robust Fine-Tuning
Fast Trainable Projection for Robust Fine-Tuning
Junjiao Tian
Yen-Cheng Liu
James Seale Smith
Z. Kira
OOD
33
11
0
29 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Yash Garg
Nebiyou Yismaw
Rakib Hyder
Ashley Prater-Bennette
M. Salman Asif
26
2
0
09 Oct 2023
Selective Feature Adapter for Dense Vision Transformers
Selective Feature Adapter for Dense Vision Transformers
XueQing Deng
Qi Fan
Xiaojie Jin
Linjie Yang
Peng Wang
21
0
0
03 Oct 2023
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
Haozhe Sun
Isabelle M Guyon
F. Mohr
Hedi Tabia
CVBM
19
2
0
02 Oct 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
Yuedong Yang
Hung-Yueh Chiang
Guihong Li
Diana Marculescu
R. Marculescu
32
9
0
26 Sep 2023
Toward efficient resource utilization at edge nodes in federated
  learning
Toward efficient resource utilization at edge nodes in federated learning
Sadi Alawadi
Addi Ait-Mlouk
Salman Toor
A. Hellander
FedML
25
5
0
19 Sep 2023
Progressive Feature Adjustment for Semi-supervised Learning from
  Pretrained Models
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models
Hai-Ming Xu
Lingqiao Liu
Hao Chen
Ehsan Abbasnejad
Rafael Felix
23
0
0
09 Sep 2023
Parameter and Computation Efficient Transfer Learning for
  Vision-Language Pre-trained Models
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
Qiong Wu
Wei Yu
Yiyi Zhou
Shubin Huang
Xiaoshuai Sun
R. Ji
VLM
24
7
0
04 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
24
0
0
04 Sep 2023
RemovalNet: DNN Fingerprint Removal Attacks
RemovalNet: DNN Fingerprint Removal Attacks
Hongwei Yao
Zhengguang Li
Kunzhe Huang
Jian Lou
Zhan Qin
Kui Ren
MLAU
AAML
18
3
0
23 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
33
23
0
20 Aug 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine
  Collaborative Normalization
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Chuyan Zhang
Yuncheng Yang
Hao Zheng
Yun Gu
24
0
0
28 Jul 2023
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