ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1702.08690
  4. Cited By
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
v1v2 (latest)

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

Computer Vision and Pattern Recognition (CVPR), 2017
28 February 2017
Weifeng Ge
Yizhou Yu
ArXiv (abs)PDFHTML

Papers citing "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning"

50 / 99 papers shown
Learning Time in Static Classifiers
Learning Time in Static Classifiers
Xi Ding
Lei Wang
Piotr Koniusz
Yongsheng Gao
126
0
0
15 Nov 2025
EduVerse: A User-Defined Multi-Agent Simulation Space for Education Scenario
EduVerse: A User-Defined Multi-Agent Simulation Space for Education Scenario
Yiping Ma
Shiyu Hu
Buyuan Zhu
Yipei Wang
Yaxuan Kang
Shiqing Liu
Kang Hao Cheong
85
0
0
07 Oct 2025
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach
Zhi Zhang
Minfu Li
Lu Li
Daoyi Chen
297
0
0
23 Mar 2025
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 ModelsNeural Information Processing Systems (NeurIPS), 2024
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Hao Sun
Ricardo Silva
Ningyu Zhang
426
0
0
29 Nov 2024
KITE: A Kernel-based Improved Transferability Estimation Method
KITE: A Kernel-based Improved Transferability Estimation Method
Yunhui Guo
313
2
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
339
1
0
25 Apr 2024
Adaptive Random Feature Regularization on Fine-tuning Deep Neural
  Networks
Adaptive Random Feature Regularization on Fine-tuning Deep Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2024
Shin'ya Yamaguchi
Sekitoshi Kanai
Kazuki Adachi
Daiki Chijiwa
200
4
0
15 Mar 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
269
0
0
29 Jan 2024
SIDE: Self-supervised Intermediate Domain Exploration for Source-free
  Domain Adaptation
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation
Jiamei Liu
Han Sun
Yizhen Jia
Jie Qin
Huiyu Zhou
Ningzhong Liu
TTA
239
0
0
13 Oct 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
247
2
0
04 Sep 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging
  Analysis
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis
Muhammad Osama Khan
Yi Fang
243
4
0
20 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and DirectionsIEEE Access (IEEE Access), 2023
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
272
124
0
11 Jul 2023
Efficient Multi-Task and Transfer Reinforcement Learning with
  Parameter-Compositional Framework
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional FrameworkIEEE Robotics and Automation Letters (RA-L), 2023
Lingfeng Sun
Haichao Zhang
Wei Xu
Masayoshi Tomizuka
269
12
0
02 Jun 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial
  Networks
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
Cat P. Le
Juncheng Dong
Ahmed Aloui
Vahid Tarokh
TTAGAN
291
3
0
19 May 2023
Interpretability of Machine Learning: Recent Advances and Future
  Prospects
Interpretability of Machine Learning: Recent Advances and Future Prospects
Lei Gao
L. Guan
AAML
272
50
0
30 Apr 2023
Interpretations of Domain Adaptations via Layer Variational Analysis
Interpretations of Domain Adaptations via Layer Variational AnalysisInternational Conference on Learning Representations (ICLR), 2023
Huan-Hsin Tseng
Hsin-Yi Lin
Kuo-Hsuan Hung
Yu Tsao
FAtt
258
4
0
03 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Policy Expansion for Bridging Offline-to-Online Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Haichao Zhang
Weiwen Xu
Haonan Yu
OffRLOnRLCLL
475
93
0
02 Feb 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot ClassificationImage and Vision Computing (IVC), 2023
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
250
6
0
02 Jan 2023
Toward Improved Generalization: Meta Transfer of Self-supervised
  Knowledge on Graphs
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs
Wenhui Cui
H. Akrami
Anand A. Joshi
Richard M. Leahy
160
1
0
16 Dec 2022
SEPT: Towards Scalable and Efficient Visual Pre-Training
SEPT: Towards Scalable and Efficient Visual Pre-TrainingAAAI Conference on Artificial Intelligence (AAAI), 2022
Yiqi Lin
Huabin Zheng
Huaping Zhong
Jinjing Zhu
Weijia Li
Conghui He
Lin Wang
192
2
0
11 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision modelsComputer Vision and Pattern Recognition (CVPR), 2022
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIPVLM
306
190
0
01 Dec 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-TuningInternational Journal of Computer Vision (IJCV), 2022
Xiaofeng Mao
YueFeng Chen
Yang Liu
Rong Zhang
Hui Xue
Zhao Li
VLMCLIP
182
38
0
29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning
RankDNN: Learning to Rank for Few-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Qianyu Guo
Hongtong Gong
Xu Wei
Yanwei Fu
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
327
23
0
28 Nov 2022
How to Fine-Tune Vision Models with SGD
How to Fine-Tune Vision Models with SGDInternational Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Ruoqi Shen
Sébastien Bubeck
Suriya Gunasekar
VLM
295
35
0
17 Nov 2022
Don't Waste Data: Transfer Learning to Leverage All Data for
  Machine-Learnt Climate Model Emulation
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
R. Parthipan
Damon J. Wischik
192
4
0
08 Oct 2022
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained
  Image Categorization
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationIEEE Transactions on Image Processing (IEEE TIP), 2022
Asish Bera
Zachary Wharton
Yonghuai Liu
Nikolaos Bessis
Ardhendu Behera
194
79
0
05 Sep 2022
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Yuzhong Chen
Zhe Xiao
Lin Zhao
Lu Zhang
Haixing Dai
...
Tuo Zhang
Changying Li
Dajiang Zhu
Tianming Liu
Xi Jiang
232
18
0
20 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Musa Phiri
Tom Gedeon
OOD
210
47
0
20 May 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-DistributionInternational Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Abigail Z. Jacobs
OODD
309
820
0
21 Feb 2022
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
Xiaoqian Ruan
Gaoang Wang
175
2
0
31 Dec 2021
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Xiangyang Ji
Antoni B. Chan
Rong Jin
120
58
0
24 Nov 2021
Self-Supervised Pre-Training for Transformer-Based Person
  Re-Identification
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Haowen Luo
Pichao Wang
Yi Tian Xu
Feng Ding
Yanxin Zhou
Fan Wang
Hao Li
Rong Jin
ViT
209
86
0
23 Nov 2021
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary
  Data
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
Wasu Top Piriyakulkij
Cristina Menghini
Ross Briden
Nihal V. Nayak
Jeffrey Zhu
Elaheh Raisi
Stephen H. Bach
VLM
360
1
0
08 Nov 2021
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture
  for Image Feature Representation
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation
Lei Gao
Zheng Guo
L. Guan
169
3
0
28 Oct 2021
An attention-driven hierarchical multi-scale representation for visual
  recognition
An attention-driven hierarchical multi-scale representation for visual recognitionBritish Machine Vision Conference (BMVC), 2021
Zachary Wharton
Chenglong Bao
Asish Bera
BDL
193
1
0
23 Oct 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-Xiong Wang
José M. F. Moura
169
34
0
20 Sep 2021
Fighting Selection Bias in Statistical Learning: Application to Visual
  Recognition from Biased Image Databases
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases
Stéphan Clémenccon
Pierre Laforgue
Robin Vogel
CVBM
100
0
0
06 Sep 2021
Non-binary deep transfer learning for image classification
Non-binary deep transfer learning for image classificationInternational Conference on Neural Information Processing (ICONIP), 2021
J. Plested
Xuyang Shen
Tom Gedeon
MQ
113
6
0
19 Jul 2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
Xingjian Li
Haoyi Xiong
Chengzhong Xu
Dejing Dou
109
6
0
25 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task TypesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
283
93
0
24 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer LearningComputer Vision and Pattern Recognition (CVPR), 2021
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
205
93
0
03 Mar 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2021
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
245
126
0
17 Jan 2021
Extended Few-Shot Learning: Exploiting Existing Resources for Novel
  Tasks
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
Reza Esfandiarpoor
Amy Pu
M. Hajabdollahi
Stephen H. Bach
CLL
174
7
0
13 Dec 2020
Efficient Conditional Pre-training for Transfer Learning
Efficient Conditional Pre-training for Transfer Learning
Shuvam Chakraborty
Burak Uzkent
Kumar Ayush
Kumar Tanmay
Evan Sheehan
Stefano Ermon
VLM
538
20
0
20 Nov 2020
Towards Accurate Knowledge Transfer via Target-awareness Representation
  Disentanglement
Towards Accurate Knowledge Transfer via Target-awareness Representation DisentanglementMachine-mediated learning (ML), 2020
Xingjian Li
Di Hu
Xuhong Li
Haoyi Xiong
Zhiquan Ye
Zhipeng Wang
Chengzhong Xu
Dejing Dou
AAML
122
2
0
16 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
235
31
0
13 Oct 2020
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of
  Relevant and Open-Set Irrelevant Images
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images
Spiridon Kasapis
Gengning Zhang
J. Smereka
N. Vlahopoulos
BDL
316
1
0
01 Oct 2020
Hallucinating Saliency Maps for Fine-Grained Image Classification for
  Limited Data Domains
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data DomainsVISIGRAPP (VISIGRAPP), 2020
Carola Figueroa Flores
Bogdan Raducanu
David Berga
Joost van de Weijer
189
6
0
24 Jul 2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by
  Cross-domain Mixup
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup
Xingjian Li
Haoyi Xiong
Haozhe An
Chengzhong Xu
Dejing Dou
97
8
0
20 Jul 2020
Impact of base dataset design on few-shot image classification
Impact of base dataset design on few-shot image classificationEuropean Conference on Computer Vision (ECCV), 2020
Othman Sbai
Camille Couprie
Mathieu Aubry
VLM
155
25
0
17 Jul 2020
12
Next