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A Comprehensive Survey on Transfer Learning
v1v2v3 (latest)

A Comprehensive Survey on Transfer Learning

7 November 2019
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Survey on Transfer Learning"

50 / 1,013 papers shown
Title
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate
  Change Impacts and Shoreline Adaptations
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations
A. Karapetyan
Aaron Chung Hin Chow
S. Madanat
AI4CE
60
0
0
06 Jun 2024
Transfer Learning for Latent Variable Network Models
Transfer Learning for Latent Variable Network Models
Akhil Jalan
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
133
1
0
05 Jun 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction
  Using Deep Learning
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
Wanyu Bian
126
7
0
03 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized
  Communities
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
G. Farnadi
Mohammad Havaei
Negar Rostamzadeh
82
3
0
03 Jun 2024
Evolutionary Computation for the Design and Enrichment of
  General-Purpose Artificial Intelligence Systems: Survey and Prospects
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
Javier Poyatos
Javier Del Ser
Salvador Garcia
H. Ishibuchi
Daniel Molina
I. Triguero
Bing Xue
Xin Yao
Francisco Herrera
97
1
0
03 Jun 2024
Visual Car Brand Classification by Implementing a Synthetic Image
  Dataset Creation Pipeline
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline
Jan Lippemeier
Stefanie Hittmeyer
Oliver Niehörster
Markus Lange-Hegermann
53
1
0
03 Jun 2024
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
Sifat Ut Taki
Spyridon Mastorakis
FedML
85
1
0
02 Jun 2024
Communication-Efficient Distributed Deep Learning via Federated Dynamic
  Averaging
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
Michail Theologitis
Georgios Frangias
Georgios Anestis
V. Samoladas
Antonios Deligiannakis
FedML
106
0
0
31 May 2024
Back to the Basics on Predicting Transfer Performance
Back to the Basics on Predicting Transfer Performance
Levy G. Chaves
Eduardo Valle
Alceu Bissoto
Sandra Avila
MedIm
92
0
0
30 May 2024
Federated and Transfer Learning for Cancer Detection Based on Image
  Analysis
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar
Y. Elmir
Yassine Himeur
Rafik Medjoudj
Abbes Amira
MedIm
88
4
0
30 May 2024
An adaptive transfer learning perspective on classification in
  non-stationary environments
An adaptive transfer learning perspective on classification in non-stationary environments
Henry W J Reeve
91
0
0
28 May 2024
A Survey of Latent Factor Models in Recommender Systems
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRMBDL
88
1
0
28 May 2024
From Macro to Micro: Boosting micro-expression recognition via
  pre-training on macro-expression videos
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos
Hanting Li
Hongjing Niu
Feng Zhao
88
3
0
26 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift
  Measures and Synthetic Scene Images
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
Yiran Luo
Joshua Forster Feinglass
Tejas Gokhale
Kuan-Cheng Lee
Chitta Baral
Yezhou Yang
92
0
0
24 May 2024
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
Jinguo Cheng
Chunwei Yang
Wanlin Cai
Yuxuan Liang
Yuankai Wu
AI4TS
100
2
0
24 May 2024
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for
  VPaaS via Watermark
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark
Huali Ren
Anli Yan
Chong-zhi Gao
Hongyang Yan
Zhenxin Zhang
Jin Li
VLMAAML
77
4
0
24 May 2024
Deep Activity Model: A Generative Approach for Human Mobility Pattern
  Synthesis
Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis
Xishun Liao
Brian Yueshuai He
Qinhua Jiang
Chenchen Kuai
Jiaqi Ma
HAIAI4CE
58
7
0
24 May 2024
Implicit In-context Learning
Implicit In-context Learning
Zhuowei Li
Zihao Xu
Ligong Han
Yunhe Gao
Song Wen
Di Liu
Hao Wang
Dimitris N. Metaxas
159
3
0
23 May 2024
Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning
  Approach
Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning Approach
Mohammad Amir Fallah
M. Monemi
Mehdi Rasti
Matti Latva-aho
50
2
0
21 May 2024
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems
Peng Liu
Nian Wang
Cong Xu
Min Zhao
Bin Wang
Yi Ren
445
1
0
21 May 2024
Layout Agnostic Human Activity Recognition in Smart Homes through
  Textual Descriptions Of Sensor Triggers (TDOST)
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
Megha Thukral
Sourish Gunesh Dhekane
S. Hiremath
H. Haresamudram
Thomas Ploetz
81
5
0
20 May 2024
Transfer Learning for Spatial Autoregressive Models
Transfer Learning for Spatial Autoregressive Models
Hao Zeng
Wei Zhong
Xingbai Xu
82
0
0
20 May 2024
Computer Vision in the Food Industry: Accurate, Real-time, and Automatic
  Food Recognition with Pretrained MobileNetV2
Computer Vision in the Food Industry: Accurate, Real-time, and Automatic Food Recognition with Pretrained MobileNetV2
Shayan Rokhva
Babak Teimourpour
Amir Hossein Soltani
85
11
0
19 May 2024
Quantile Activation: Correcting a Failure Mode of ML Models
Quantile Activation: Correcting a Failure Mode of ML Models
Aditya Challa
Sravan Danda
Laurent Najman
Snehanshu Saha
UQCV
92
0
0
19 May 2024
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
Suorong Yang
Peijia Li
Xin Xiong
Shen Furao
Jian Zhao
66
2
0
19 May 2024
Probabilistic transfer learning methodology to expedite high fidelity
  simulation of reactive flows
Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows
Bruno S. Soriano
Kisung Jung
T. Echekki
Jacqueline H. Chen
Mohammad Khalil
AI4CE
37
1
0
17 May 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for
  Motor-Impaired Individuals via Latent Embedding Exploitation
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
Riyad Bin Rafiq
Weishi Shi
Mark V. Albert
92
1
0
14 May 2024
MetaFruit Meets Foundation Models: Leveraging a Comprehensive
  Multi-Fruit Dataset for Advancing Agricultural Foundation Models
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
Jiajia Li
Kyle Lammers
Xunyuan Yin
Xiang Yin
Long He
Renfu Lu
Zhaojian Li
100
3
0
14 May 2024
Separable Power of Classical and Quantum Learning Protocols Through the
  Lens of No-Free-Lunch Theorem
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
Xinbiao Wang
Yuxuan Du
Kecheng Liu
Yong Luo
Bo Du
Dacheng Tao
66
1
0
12 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models
Navigating the Future of Federated Recommendation Systems with Foundation Models
Zhiwei Li
Guodong Long
Chunxu Zhang
Honglei Zhang
Jing Jiang
Chengqi Zhang
233
0
0
12 May 2024
Robust and Explainable Fine-Grained Visual Classification with Transfer
  Learning: A Dual-Carriageway Framework
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
Zheming Zuo
Joseph Smith
Jonathan Stonehouse
Boguslaw Obara
88
2
0
09 May 2024
Model Inversion Robustness: Can Transfer Learning Help?
Model Inversion Robustness: Can Transfer Learning Help?
Sy-Tuyen Ho
Koh Jun Hao
Keshigeyan Chandrasegaran
Ngoc-Bao Nguyen
Ngai-Man Cheung
89
11
0
09 May 2024
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge
  Networks
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
Guanqiao Qu
Zhengyi Lin
Fangming Liu
Xianhao Chen
Kaibin Huang
112
20
0
07 May 2024
Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive
  Acoustic Field Prediction
Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive Acoustic Field Prediction
Changan Chen
Jordi Ramos
Anshul Tomar
Kristen Grauman
99
3
0
05 May 2024
Individual Fairness Through Reweighting and Tuning
Individual Fairness Through Reweighting and Tuning
A. J. Mahamadou
Lea Goetz
Russ B. Altman
78
0
0
02 May 2024
Imitation Learning: A Survey of Learning Methods, Environments and
  Metrics
Imitation Learning: A Survey of Learning Methods, Environments and Metrics
Nathan Gavenski
Odinaldo Rodrigues
Michael Luck
79
167
0
30 Apr 2024
Research and application of artificial intelligence based webshell
  detection model: A literature review
Research and application of artificial intelligence based webshell detection model: A literature review
Mingrui Ma
Lansheng Han
Chunjie Zhou
149
3
0
28 Apr 2024
Comparison of self-supervised in-domain and supervised out-domain
  transfer learning for bird species recognition
Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition
H. Ghaffari
Paul Devos
80
0
0
26 Apr 2024
Employing Two-Dimensional Word Embedding for Difficult Tabular Data
  Stream Classification
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification
P. Zyblewski
49
1
0
24 Apr 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Taro Langner
85
0
0
22 Apr 2024
Transfer Learning for Molecular Property Predictions from Small Data
  Sets
Transfer Learning for Molecular Property Predictions from Small Data Sets
Thorren Kirschbaum
A. Bande
AI4CE
47
2
0
20 Apr 2024
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and
  Modalities
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities
Kunxi Li
Tianyu Zhan
Kairui Fu
Shengyu Zhang
Kun Kuang
Jiwei Li
Zhou Zhao
Leilei Gan
MoMe
69
3
0
20 Apr 2024
Improving Prediction Accuracy of Semantic Segmentation Methods Using
  Convolutional Autoencoder Based Pre-processing Layers
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers
H. Shimodaira
AI4CESSeg
104
0
0
19 Apr 2024
Feature Corrective Transfer Learning: End-to-End Solutions to Object
  Detection in Non-Ideal Visual Conditions
Feature Corrective Transfer Learning: End-to-End Solutions to Object Detection in Non-Ideal Visual Conditions
Chuheng Wei
Guoyuan Wu
Matthew Barth
60
3
0
17 Apr 2024
Supervised Contrastive Vision Transformer for Breast Histopathological
  Image Classification
Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
Mohammad Shiri
Monalika Padma Reddy
Jiangwen Sun
MedIm
40
6
0
17 Apr 2024
High-Resolution Detection of Earth Structural Heterogeneities from
  Seismic Amplitudes using Convolutional Neural Networks with Attention layers
High-Resolution Detection of Earth Structural Heterogeneities from Seismic Amplitudes using Convolutional Neural Networks with Attention layers
L. Schirmer
Guilherme Gonçalves Schardong
V. Silva
Rogério Santos
Helio Lopes
64
0
0
15 Apr 2024
Intelligent Chemical Purification Technique Based on Machine Learning
Intelligent Chemical Purification Technique Based on Machine Learning
Wenchao Wu
Hao Xu
Dongxiao Zhang
Fanyang Mo
79
0
0
14 Apr 2024
Deep Learning for Educational Data Science
Deep Learning for Educational Data Science
Juan D. Pinto
Luc Paquette
80
3
0
12 Apr 2024
Transfer Learning Study of Motion Transformer-based Trajectory
  Predictions
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
Lars Ullrich
Alex McMaster
Knut Graichen
80
4
0
12 Apr 2024
QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous
  Manipulations Transfer
QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
Xueyi Liu
Kangbo Lyu
Jieqiong Zhang
Tao Du
Li Yi
97
4
0
11 Apr 2024
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