A Comprehensive Survey on Transfer Learning

7 November 2019

Hengshu Zhu

Papers citing "A Comprehensive Survey on Transfer Learning"

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Title
Robust Confinement State Classification with Uncertainty Quantification through Ensembled Data-Driven Methods Y. Poels Cristina Venturini Alessandro Pau Olivier Sauter Vlado Menkovski TCV Team WPTE team 62 1 0 24 Feb 2025
IGN : Implicit Generative Networks Haozheng Luo Tianyi Wu Feiyu Han Zhijun Yan OffRL 37 1 0 24 Feb 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation Prafful Kumar Khoba Zijian Wang Chetan Arora Mahsa Baktashmotlagh AAML 40 0 0 23 Feb 2025
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data Yeheng Ge Xueyu Zhou Jian Huang 45 0 0 22 Feb 2025
An Efficient Ground-aerial Transportation System for Pest Control Enabled by AI-based Autonomous Nano-UAVs Luca Crupi L. Butera Alberto Ferrante Alessandro Giusti Daniele Palossi 61 0 0 21 Feb 2025
Continually Learning Structured Visual Representations via Network Refinement with Rerelation Zeki Doruk Erden Boi Faltings CLL 77 0 0 20 Feb 2025
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity Chandrashekar Muniyappa Eujin Kim 73 1 0 20 Feb 2025
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging Zehua Liu Han Wu Yuxuan Yao Ruifeng She Xiongwei Han Tao Zhong M. Yuan MoMe 54 2 0 15 Feb 2025
Superpose Singular Features for Model Merging Haiquan Qiu You Wu Quanming Yao MoMe 50 0 0 15 Feb 2025
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities Ding Hu Pengxiang Hua Zhen Huang 90 0 0 09 Feb 2025
Beyond English: Evaluating Automated Measurement of Moral Foundations in Non-English Discourse with a Chinese Case Study Calvin Cheng Scott A. Hale 221 0 0 04 Feb 2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation Yizheng Wang Jinshuai Bai M. Eshaghi C. Anitescu X. Zhuang Timon Rabczuk Yinghua Liu AI4CE 64 1 0 02 Feb 2025
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images Wei-Lun Chen Chia-Yeh Hsieh Yu-Hsiang Kao Kai-Chun Liu Sheng-Yu Peng Yu Tsao 92 0 0 30 Jan 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Zhan Qin Kui Ren 209 0 0 28 Jan 2025
Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Louis Aberdeen Mark Hansen Melvyn Smith Lyndon N. Smith 90 0 0 22 Jan 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen Guo Ye Yakun Wang Zhao Zhang Libang Zhang Daxin Wang Qing Cui Fuzhen Zhuang 93 2 0 17 Jan 2025
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing Aids Dyah A. M. G. Wisnu Stefano Rini Ryandhimas E. Zezario Hsin-Min Wang Yu Tsao 59 0 0 10 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 35 1 0 08 Jan 2025
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification Shrihan Agarwal A. Ćiprijanović Brian D. Nord OOD 43 0 0 08 Jan 2025
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals Chuheng Wu S. F. Atashzar Mohammad Mahdi Ghassemi Tuka Alhanai 52 0 0 03 Jan 2025
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models Benjamin Laufer Jon M. Kleinberg Hoda Heidari 60 9 0 03 Jan 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 71 5 0 03 Jan 2025
Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images Leonardo Gabriel Ferreira Rodrigues Danilo Ferreira da Silva Larissa Ferreira Rodrigues João Fernando Mari 41 3 0 26 Dec 2024
Aspect-Based Few-Shot Learning Tim van Engeland Lu Yin Vlado Menkovski 80 0 0 17 Dec 2024
Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Maria Efimovich Jayden Lim Vedant Mehta Ethan Poon 81 0 0 16 Dec 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices Yongzhe Jia Xuyun Zhang Hongsheng Hu K. Choo Lianyong Qi Xiaolong Xu Amin Beheshti Wanchun Dou MoMe FedML 93 0 0 08 Dec 2024
Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning Zeki Doruk Erden Boi Faltings 57 2 0 05 Dec 2024
Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity L. Klochko M. dÁquin A. Togo L. Chaput AI4CE 64 0 0 27 Nov 2024
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 88 1 0 23 Nov 2024
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Hongjun Wang Jiyuan Chen Lingyu Zhang Renhe Jiang Xuan Song AI4TS 76 0 0 18 Nov 2024
Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Ke Zhang Zhaoye Zheng Yurong Guo Jiacun Wang Jiyuan Yang Yangjie Xiao VLM 82 0 0 18 Nov 2024
Bias in Large Language Models: Origin, Evaluation, and Mitigation Yufei Guo Muzhe Guo Juntao Su Zhou Yang Mengqiu Zhu Hongfei Li Mengyang Qiu Shuo Shuo Liu AILaw 33 10 0 16 Nov 2024
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy Rishit Kapoor Jesher Joshua Muralidharan Vijayarangan Natarajan B FedML OOD 76 0 0 15 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 36 3 0 15 Nov 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 39 2 0 15 Nov 2024
Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data Mariusz Wisniewski Zeeshan A. Rana Ivan Petrunin Alan Holt Stephen Harman 34 1 0 13 Nov 2024
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook Meng Yang Tianqing Zhu Chi Liu Wanlei Zhou Shui Yu Philip S. Yu AAML ELM PILM 66 1 0 12 Nov 2024
PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection Jinbo Hu Yin Cao Ming Wu Fang Kang Feiran Yang Wenwu Wang Mark D. Plumbley J. Yang 36 0 0 10 Nov 2024
Improving DNN Modularization via Activation-Driven Training Tuan Ngo Abid Hassan Saad Shafiq Nenad Medvidovic MoMe 32 0 0 01 Nov 2024
Raspberry PhenoSet: A Phenology-based Dataset for Automated Growth Detection and Yield Estimation Parham Jafary Anna Bazangeya Michelle Pham Lesley G. Campbell Sajad Saeedi Kourosh Zareinia Habiba Bougherara 43 0 0 01 Nov 2024
$α$ -TCVAE: On the relationship between Disentanglement and Diversity Cristian Meo Louis Mahon Anirudh Goyal Justin Dauwels DRL 63 8 0 01 Nov 2024
MoD: A Distribution-Based Approach for Merging Large Language Models Quy-Anh Dang Chris Ngo MoMe VLM 31 0 0 01 Nov 2024
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation Wei Dong Yuan Sun Yiting Yang Xing Zhang Zhijun Lin Qingsen Yan Han Zhang Peng Wang Yang Yang Hengtao Shen 31 0 0 30 Oct 2024
Leveraging Auxiliary Task Relevance for Enhanced Industrial Fault Diagnosis through Curriculum Meta-learning Jinze Wang Tiehua Zhang Boon Xian Chai Adriano Di Pietro Dimitrios Georgakopoulos Jiong Jin 22 0 0 27 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 55 2 0 25 Oct 2024
Medical Imaging Complexity and its Effects on GAN Performance William Cagas Chan Ko Blake Hsiao Shryuk Grandhi Rishi Bhattacharya Kevin Zhu Michael Lam MedIm 36 1 0 23 Oct 2024
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense Aditya Vikram Singh Ethan Rathbun Emma Graham Lisa Oakley Simona Boboila Alina Oprea Peter Chin AAML 26 2 0 22 Oct 2024
Safe Load Balancing in Software-Defined-Networking L. Dinh Pham Tran Anh Quang Jérémie Leguay 34 0 0 22 Oct 2024
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games Kimiya Saadat Richard Zhao 37 0 0 22 Oct 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data Anthony Bazhenov Pahan Dewasurendra G. Krishnan Jean Erik Delanois CLL 24 0 0 21 Oct 2024