A Comprehensive Survey on Transfer Learning

7 November 2019

Hengshu Zhu

Papers citing "A Comprehensive Survey on Transfer Learning"

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Title
Multi-Label Classification on Remote-Sensing Images A. Singh B. Uma Shankar 14 0 0 06 Jan 2022
Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity Guan Wang Yusuke Kikuchi J. Yi Qiong Zou Rui Zhou Xin Guo 12 7 0 04 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection Yongchun Zhu Dongbo Xi Bowen Song Fuzhen Zhuang Shuai Chen Xi Gu Qing He 18 59 0 04 Jan 2022
MDFEND: Multi-domain Fake News Detection Qiong Nan Juan Cao Yongchun Zhu Yanyan Wang Jintao Li MoE 13 147 0 04 Jan 2022
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 35 48 0 31 Dec 2021
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability Sami Sarsa Juho Leinonen Arto Hellas 11 13 0 30 Dec 2021
Feature matching as improved transfer learning technique for wearable EEG E. Heremans Huy P Phan A. Ansari Pascal Borzée B. Buyse D. Testelmans M. D. Vos OOD 21 10 0 29 Dec 2021
A transfer learning enhanced the physics-informed neural network model for vortex-induced vibration He-sheng Tang Hu Yang Y. Liao Liyu Xie AI4CE 9 3 0 29 Dec 2021
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach Kirill Sirotkin Marcos Escudero-Viñolo Pablo Carballeira Juan C. Sanmiguel SSL 32 6 0 22 Dec 2021
TECM: Transfer Learning-based Evidential C-Means Clustering Lianmeng Jiao Feng Wang Zhunga Liu Quan Pan 17 23 0 19 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong Learning Sanket Vaibhav Mehta Darshan Patil Sarath Chandar Emma Strubell CLL 42 135 0 16 Dec 2021
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams Tahiya Chowdhury Murtadha M. N. Aldeer Shantanu Laghate Jorge Ortiz AI4TS 15 2 0 06 Dec 2021
A Survey of Deep Learning for Low-Shot Object Detection Qihan Huang Haofei Zhang Mengqi Xue Mingli Song Xiuming Zhang ObjD 33 18 0 06 Dec 2021
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion Yiheng Sun Tian Lu Cong Wang Yuan Li Huaiyu Fu Jingran Dong Y. Xu 19 2 0 04 Dec 2021
Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks Tran Viet Khoa D. Hoang N. Trung Cong T. Nguyen T. T. T. Quynh Diep N. Nguyen Nguyen Viet Ha E. Dutkiewicz FedML 14 20 0 02 Dec 2021
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems A. Castagna Ivana Dusparic 15 7 0 01 Dec 2021
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams Helen McKay N. Griffiths Phillip Taylor 9 0 0 29 Nov 2021
Evolutionary Multitask Optimization: Fundamental Research Questions, Practices, and Directions for the Future E. Osaba Javier Del Ser Ponnuthurai Nagaratnam Suganthan 38 15 0 29 Nov 2021
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection M. Shafiee M. Famouri Gautam Bathla Francis Li Alexander Wong 24 3 0 29 Nov 2021
NTD: Non-Transferability Enabled Backdoor Detection Yinshan Li Hua Ma Zhi-Li Zhang Yansong Gao A. Abuadbba Anmin Fu Yifeng Zheng S. Al-Sarawi Derek Abbott AAML 6 5 0 22 Nov 2021
Hierarchical transfer learning with applications for electricity load forecasting A. Antoniadis Solenne Gaucher Y. Goude AI4TS 30 11 0 16 Nov 2021
Improving Compound Activity Classification via Deep Transfer and Representation Learning Vishal Dey R. Machiraju Xia Ning AAML 25 3 0 14 Nov 2021
Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks Heramb Nemlekar Runyu Guan Guanyang Luo Satyandra K. Gupta Stefanos Nikolaidis 33 8 0 11 Nov 2021
Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation Praveen Venkatesh Viraj Shah Vrutik Shah Yashvant Kamble Joycee Mekie 19 0 0 11 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets Safwen Naimi Rien van Leeuwen W. Souidène S. B. Saoud SSL ViT 25 2 0 08 Nov 2021
Open-Set Crowdsourcing using Multiple-Source Transfer Learning Guangyang Han Guoxian Yu Lei Liu Li-zhen Cui C. Domeniconi Xiangliang Zhang 11 0 0 07 Nov 2021
Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning Wenyu Zhu Zhiyao Feng Zihan Zhang Jian-jun Chen Zhijian Ou Min Yang Chao Zhang AAML 14 8 0 02 Nov 2021
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 18 79 0 01 Nov 2021
CvS: Classification via Segmentation For Small Datasets Nooshin Mojab Philip S. Yu J. Hallak Darvin Yi 25 4 0 29 Oct 2021
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks Wenxi Wang Yang Hu Mohit Tiwari S. Khurshid K. McMillan Risto Miikkulainen GNN NAI 19 6 0 26 Oct 2021
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs Prakhar Ganesh Yao Chen Yin Yang Deming Chen Marianne Winslett ObjD 3DH 27 34 0 26 Oct 2021
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 41 36 0 22 Oct 2021
Personalized Transfer of User Preferences for Cross-domain Recommendation Yongchun Zhu Zhenwei Tang Yudan Liu Fuzhen Zhuang Ruobing Xie Xu-Yao Zhang Leyu Lin Qing He 24 162 0 21 Oct 2021
Test time Adaptation through Perturbation Robustness Prabhu Teja Sivaprasad Franccois Fleuret TTA OOD 19 30 0 19 Oct 2021
Deep CNNs for Peripheral Blood Cell Classification Ekta Gavas Kaustubh Olpadkar 20 9 0 18 Oct 2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry Patrick Hemmer Niklas Kühl Jakob Schöffer 21 4 0 18 Oct 2021
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research Thomas P. Quinn Sunil R. Gupta Svetha Venkatesh Vuong Le OOD 14 2 0 13 Oct 2021
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems Dong Chen Yuzhen Lu Zhao Li Sierra N. Young 24 97 0 11 Oct 2021
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design Yi Zhang AI4CE 38 4 0 10 Oct 2021
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces Sarah Di Robin Yu Amol Kapoor 11 0 0 09 Oct 2021
Visualizing the embedding space to explain the effect of knowledge distillation Hyun Seung Lee C. Wallraven 10 1 0 09 Oct 2021
SWAT Watershed Model Calibration using Deep Learning M. Mudunuru K. Son Pin Jiang X. Chen 22 2 0 06 Oct 2021
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation Aladin Virmaux Illyyne Saffar Jianfeng Zhang Balázs Kégl OOD 27 0 0 06 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 31 2 0 06 Oct 2021
Perturbated Gradients Updating within Unit Space for Deep Learning Ching-Hsun Tseng Liu Cheng Shin-Jye Lee Xiaojun Zeng 40 5 0 01 Oct 2021
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection Arthur Drichel Benedikt Holmes Justus von Brandt Ulrike Meyer 92 7 0 24 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks Amirreza Sobhdel R. Razavi-Far 47 4 0 22 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 42 22 0 20 Sep 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 29 14 0 20 Sep 2021
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation Gabriel Loewinger Rolando Acosta Nunez Rahul Mazumder Giovanni Parmigiani 30 0 0 19 Sep 2021