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A Comprehensive Survey on Transfer Learning

7 November 2019

Hengshu Zhu

Papers citing "A Comprehensive Survey on Transfer Learning"

50 / 1,013 papers shown

Title
PSELDNets: Pre-trained Neural Networks on a Large-scale Synthetic Dataset for Sound Event Localization and Detection Jinbo Hu Yin Cao Ming Wu Fang Kang Feiran Yang Wenwu Wang Mark D. Plumbley J. Yang 72 1 0 10 Nov 2024
Improving DNN Modularization via Activation-Driven Training Tuan Ngo Abid Hassan Saad Shafiq Nenad Medvidovic MoMe 79 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 74 0 0 01 Nov 2024
$α$ -TCVAE: On the relationship between Disentanglement and Diversity Cristian Meo Louis Mahon Anirudh Goyal Justin Dauwels DRL 159 8 0 01 Nov 2024
MoD: A Distribution-Based Approach for Merging Large Language Models Quy-Anh Dang Chris Ngo MoMe VLM 79 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 96 1 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 44 1 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 174 5 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 78 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 68 4 0 22 Oct 2024
Safe Load Balancing in Software-Defined-Networking L. Dinh Pham Tran Anh Quang Jérémie Leguay 85 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 76 0 0 22 Oct 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data Anthony Bazhenov Pahan Dewasurendra G. Krishnan Jean Erik Delanois CLL 55 0 0 21 Oct 2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis Paxson Swierc Marcos Tamargo-Arizmendi A. Ćiprijanović Brian D. Nord 79 3 0 21 Oct 2024
Multi-Task Dynamic Pricing in Credit Market with Contextual Information Adel Javanmard Jingwei Ji Renyuan Xu 112 1 0 18 Oct 2024
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19 Danny Falero Muhammad Ashad Kabir Nusrat Homaira 96 0 0 16 Oct 2024
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators Xinming Wang Simon Mak John Joshua Miller Jianguo Wu 66 1 0 16 Oct 2024
Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures Christiaan M. Geldenhuys Thomas R. Niesler 41 0 0 15 Oct 2024
NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms Efimia Panagiotaki D. Martini Lars Kunze Petar Veličković 3DPC 86 0 0 14 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 144 1 0 12 Oct 2024
Non-transferable Pruning Ruyi Ding Lili Su A. A. Ding Yunsi Fei AAML 76 2 0 10 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models Zhipeng Chen Liang Song K. Zhou Wayne Xin Zhao Binghai Wang Weipeng Chen Ji-Rong Wen 163 0 0 10 Oct 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu Henry Lam Hongseok Namkoong LMTD 110 2 0 09 Oct 2024
Parameter Competition Balancing for Model Merging Guodong DU Junlin Lee Jing Li Runhua Jiang Yifei Guo ... Hanting Liu Sim Kuan Goh Jing Li Daojing He Min Zhang MoMe 115 24 0 03 Oct 2024
A Novel Method for Accurate & Real-time Food Classification: The Synergistic Integration of EfficientNetB7, CBAM, Transfer Learning, and Data Augmentation Shayan Rokhva Babak Teimourpour 71 1 0 03 Oct 2024
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks Dingzirui Wang Xuanliang Zhang Qiguang Chen Longxu Dou Xiao Xu ... Qingfu Zhu Wanxiang Che Binhua Li Fei Huang Yongbin Li 107 1 0 02 Oct 2024
Effective Tuning Strategies for Generalist Robot Manipulation Policies Wenbo Zhang Yang Li Yanyuan Qiao Siyuan Huang Jiajun Liu Feras Dayoub Xiao Ma Lingqiao Liu 79 0 0 02 Oct 2024
Scalable Multi-Task Transfer Learning for Molecular Property Prediction Chanhui Lee Dae-Woong Jeong Sung Moon Ko Sumin Lee Hyunseung Kim Soorin Yim Sehui Han Sungwoong Kim Sungbin Lim 58 1 0 01 Oct 2024
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification Jiseok Lee Brian Kenji Iwana AI4TS 80 0 0 30 Sep 2024
Exploiting Adjacent Similarity in Multi-Armed Bandit Tasks via Transfer of Reward Samples NR Rahul Vaibhav Katewa 113 0 0 30 Sep 2024
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra Shubha R. Kharel Fanchen Meng Xiaohui Qu Matthew R. Carbone Deyu Lu 100 0 0 29 Sep 2024
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah Vyacheslav Kungurtsev Hojin Chang Chong Chen Bill Lin FedML 71 1 0 27 Sep 2024
Scalable quantum dynamics compilation via quantum machine learning Yuxuan Zhang R. Wiersema Juan Carrasquilla Lukasz Cincio Yong Baek Kim 67 3 0 24 Sep 2024
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition Zheda Mai Ping Zhang Cheng-Hao Tu Hong-You Chen Li Zhang Wei-Lun Chao 84 1 0 24 Sep 2024
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network Mohammad Wazed Ali Asif bin Mustafa Md. Aukerul Moin Shuvo Bernhard Sick 59 0 0 18 Sep 2024
Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation Hanbo Bi Yingchao Feng Wenhui Diao Peijin Wang Yongqiang Mao Kun Fu Hongqi Wang Xian Sun VLM 88 6 0 16 Sep 2024
TransForce: Transferable Force Prediction for Vision-based Tactile Sensors with Sequential Image Translation Zhuo Chen Ni Ou Xuyang Zhang Shan Luo 120 1 0 15 Sep 2024
Towards certifiable AI in aviation: landscape, challenges, and opportunities Hymalai Bello Daniel Geißler L. Ray Stefan Muller-Divéky Peter Muller Shannon Kittrell Mengxi Liu Bo Zhou Paul Lukowicz 91 1 0 13 Sep 2024
Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities Aaryan Panda Damodar Panigrahi Shaswata Mitra Sudip Mittal Shahram Rahimi 57 0 0 12 Sep 2024
A Scalable Algorithm for Active Learning Youguang Chen Zheyu Wen George Biros 48 0 0 11 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang Furao Shen Jian Zhao AAML 74 4 0 10 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 147 6 0 07 Sep 2024
Contrastive Learning-based User Identification with Limited Data on Smart Textiles Yunkang Zhang Ziyu Wu Zhen Liang Fangting Xie Quan Wan Mingjie Zhao Xiaohui Cai 87 1 0 06 Sep 2024
WarpAdam: A new Adam optimizer based on Meta-Learning approach Chengxi Pan Junshang Chen Jingrui Ye ODL 79 0 0 06 Sep 2024
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning Isaac Ray Alexei Skurikhin 207 0 0 05 Sep 2024
Estimating Dynamic Flow Features in Groups of Tracked Objects Tanner D. Harms Steven L. Brunton B. McKeon 90 0 0 29 Aug 2024
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping Yikang Liu Lin Zhao Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun MedIm 101 0 0 28 Aug 2024
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation Junbao Zhou Jilin Mei Pengze Wu Liang Chen Fangzhou Zhao Xijun Zhao Yu Hu 3DPC 81 0 0 28 Aug 2024
Brain-inspired Artificial Intelligence: A Comprehensive Review Jing Ren Xiwei Xu AI4CE 133 4 0 27 Aug 2024
Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks Ziqiang Li Yueqi Zeng Pengfei Xia Lei Liu Zhangjie Fu Bin Li SILM AAML 100 3 0 21 Aug 2024