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

Title
Learning Time in Static Classifiers Xi Ding Lei Wang Piotr Koniusz Yongsheng Gao 36 0 0 15 Nov 2025
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 56 0 0 07 Oct 2025
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach Zhi Zhang Minfu Li Lu Li Daoyi Chen 245 0 0 23 Mar 2025
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 390 0 0 29 Nov 2024
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 246 2 0 01 May 2024
Robust Fine-tuning for Pre-trained 3D Point Cloud Models Zhibo Zhang Ximing Yang Weizhong Zhang Cheng Jin 3DPC 256 1 0 25 Apr 2024
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 122 4 0 15 Mar 2024
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 219 0 0 29 Jan 2024
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation Jiamei Liu Han Sun Yizhen Jia Jie Qin Huiyu Zhou Ningzhong Liu TTA 195 0 0 13 Oct 2023
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 214 1 0 04 Sep 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis Muhammad Osama Khan Yi Fang 156 4 0 20 Jul 2023
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 228 118 0 11 Jul 2023
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 217 10 0 02 Jun 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks Cat P. Le Juncheng Dong Ahmed Aloui Vahid Tarokh TTA GAN 231 3 0 19 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 243 48 0 30 Apr 2023
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 226 4 0 03 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Haichao Zhang Weiwen Xu Haonan Yu OffRL OnRL CLL 380 90 0 02 Feb 2023
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 201 6 0 02 Jan 2023
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs Wenhui Cui H. Akrami Anand A. Joshi Richard M. Leahy 144 1 0 16 Dec 2022
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 139 2 0 11 Dec 2022
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 CLIP VLM 245 186 0 01 Dec 2022
Context-Aware Robust Fine-TuningInternational Journal of Computer Vision (IJCV), 2022 Xiaofeng Mao YueFeng Chen Yang Liu Rong Zhang Hui Xue Zhao Li VLM CLIP 158 37 0 29 Nov 2022
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 270 22 0 28 Nov 2022
How to Fine-Tune Vision Models with SGDInternational Conference on Learning Representations (ICLR), 2022 Ananya Kumar Ruoqi Shen Sébastien Bubeck Suriya Gunasekar VLM 213 35 0 17 Nov 2022
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation R. Parthipan Damon J. Wischik 119 4 0 08 Oct 2022
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 165 75 0 05 Sep 2022
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 224 18 0 20 May 2022
Deep transfer learning for image classification: a survey J. Plested Musa Phiri Tom Gedeon OOD 150 46 0 20 May 2022
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 292 811 0 21 Feb 2022
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations Xiaoqian Ruan Gaoang Wang 134 2 0 31 Dec 2021
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 111 55 0 24 Nov 2021
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 153 83 0 23 Nov 2021
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 279 1 0 08 Nov 2021
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation Lei Gao Zheng Guo L. Guan 119 3 0 28 Oct 2021
An attention-driven hierarchical multi-scale representation for visual recognitionBritish Machine Vision Conference (BMVC), 2021 Zachary Wharton Chenglong Bao Asish Bera BDL 145 1 0 23 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-Xiong Wang José M. F. Moura 136 33 0 20 Sep 2021
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases Stéphan Clémenccon Pierre Laforgue Robin Vogel CVBM 87 0 0 06 Sep 2021
Non-binary deep transfer learning for image classificationInternational Conference on Neural Information Processing (ICONIP), 2021 J. Plested Xuyang Shen Tom Gedeon MQ 91 6 0 19 Jul 2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning Xingjian Li Haoyi Xiong Chengzhong Xu Dejing Dou 96 6 0 25 Mar 2021
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 247 90 0 24 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer LearningComputer Vision and Pattern Recognition (CVPR), 2021 Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 177 90 0 03 Mar 2021
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 221 122 0 17 Jan 2021
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Reza Esfandiarpoor Amy Pu M. Hajabdollahi Stephen H. Bach CLL 158 7 0 13 Dec 2020
Efficient Conditional Pre-training for Transfer Learning Shuvam Chakraborty Burak Uzkent Kumar Ayush Kumar Tanmay Evan Sheehan Stefano Ermon VLM 462 20 0 20 Nov 2020
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 86 2 0 16 Oct 2020
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 219 31 0 13 Oct 2020
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 297 1 0 01 Oct 2020
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 162 6 0 24 Jul 2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup Xingjian Li Haoyi Xiong Haozhe An Chengzhong Xu Dejing Dou 92 8 0 20 Jul 2020
Impact of base dataset design on few-shot image classificationEuropean Conference on Computer Vision (ECCV), 2020 Othman Sbai Camille Couprie Mathieu Aubry VLM 144 25 0 17 Jul 2020