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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
Target inductive methods for zero-shot regression
Target inductive methods for zero-shot regression
Miriam Fdez-Díaz
J. R. Quevedo
E. Montañés
85
7
0
02 Feb 2024
Self-Supervised Contrastive Pre-Training for Multivariate Point
  Processes
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes
Xiao Shou
D. Subramanian
D. Bhattacharjya
Tian Gao
Kristin P. Bennet
3DPCSSL
65
0
0
01 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural
  Networks in Dynamical Systems
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins
F. Fahimi
AI4CE
98
0
0
01 Feb 2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in
  Open-Source Software
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
Wenxin Jiang
Jerin Yasmin
Jason Jones
Nicholas Synovic
Jiashen Kuo
Nathaniel Bielanski
Yuan Tian
George K. Thiruvathukal
James C. Davis
95
14
0
01 Feb 2024
Graph Domain Adaptation: Challenges, Progress and Prospects
Graph Domain Adaptation: Challenges, Progress and Prospects
Boshen Shi
Yongqing Wang
Fangda Guo
Bingbing Xu
Huawei Shen
Xueqi Cheng
OOD
66
7
0
01 Feb 2024
Privacy and Security Implications of Cloud-Based AI Services : A Survey
Privacy and Security Implications of Cloud-Based AI Services : A Survey
Alka Luqman
Riya Mahesh
Anupam Chattopadhyay
59
2
0
31 Jan 2024
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor
  Image Comprehension in Remote Sensing Domain
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain
Wei Zhang
Miaoxin Cai
Tong Zhang
Zhuang Yin
Xuerui Mao
139
103
0
30 Jan 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
252
18
0
30 Jan 2024
When Geoscience Meets Generative AI and Large Language Models:
  Foundations, Trends, and Future Challenges
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
Abdenour Hadid
Tanujit Chakraborty
Daniel Busby
AI4CE
116
15
0
25 Jan 2024
Weakly supervised covariance matrices alignment through Stiefel matrices
  estimation for MEG applications
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications
Antoine Collas
Rémi Flamary
Alexandre Gramfort
58
2
0
24 Jan 2024
Beimingwu: A Learnware Dock System
Beimingwu: A Learnware Dock System
Zhi-Hao Tan
Jian-Dong Liu
Xiao-Dong Bi
Peng Tan
Qin-Cheng Zheng
Hai-Tian Liu
Yi Xie
Xiao-Chuan Zou
Yang Yu
Zhi Zhou
86
6
0
24 Jan 2024
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic
  Applications
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
Chuhao Deng
Hong Choi
Hyun-Soo Park
Inseok Hwang
AI4TS
54
2
0
23 Jan 2024
On the Utility of Probing Trajectories for Algorithm-Selection
On the Utility of Probing Trajectories for Algorithm-Selection
Quentin Renau
Emma Hart
86
6
0
23 Jan 2024
Cheap Learning: Maximising Performance of Language Models for Social
  Data Science Using Minimal Data
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
Leonardo Castro-Gonzalez
Yi-Ling Chung
Hannak Rose Kirk
John Francis
Angus R. Williams
Pica Johansson
Jonathan Bright
85
1
0
22 Jan 2024
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax
  Analysis and Adaptive Procedure
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure
T. T. Cai
Hongming Pu
58
21
0
22 Jan 2024
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling:
  Improving Dissolved Oxygen Concentration Prediction in an Industrial
  Wastewater Treatment Plant
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling: Improving Dissolved Oxygen Concentration Prediction in an Industrial Wastewater Treatment Plant
Ece S. Koksal
Erdal Aydin
PINNAI4CE
59
1
0
20 Jan 2024
A Systematic Evaluation of Euclidean Alignment with Deep Learning for
  EEG Decoding
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding
Bruna Junqueira
Bruno Aristimunha
Sylvain Chevallier
Raphael Y. de Camargo
85
6
0
19 Jan 2024
3D Room Geometry Inference from Multichannel Room Impulse Response using
  Deep Neural Network
3D Room Geometry Inference from Multichannel Room Impulse Response using Deep Neural Network
Inmo Yeon
Jung-Woo Choi
3DV
52
4
0
19 Jan 2024
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm:
  A Bibliometric and Systematic Literature Review
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review
Chetan M. Badgujar
Alwin Poulose
Hao Gan
99
9
0
18 Jan 2024
Transfer Learning in Human Activity Recognition: A Survey
Transfer Learning in Human Activity Recognition: A Survey
Sourish Gunesh Dhekane
Thomas Ploetz
MUAI4TS
108
43
0
18 Jan 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified
  Distribution Matching Approach
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha
Xiao Fu
89
3
0
18 Jan 2024
Transferring Core Knowledge via Learngenes
Transferring Core Knowledge via Learngenes
Fu Feng
Jing Wang
Xin Geng
120
7
0
16 Jan 2024
Jewelry Recognition via Encoder-Decoder Models
Jewelry Recognition via Encoder-Decoder Models
José M. Alcalde-Llergo
Enrique Yeguas-Bolivar
Andrea Zingoni
Alejandro Fuerte-Jurado
40
0
0
15 Jan 2024
Domain Adaptation for Time series Transformers using One-step
  fine-tuning
Domain Adaptation for Time series Transformers using One-step fine-tuning
Subina Khanal
Seshu Tirupathi
Giulio Zizzo
Ambrish Rawat
T. Pedersen
AI4TS
62
5
0
12 Jan 2024
A Temporal-Spectral Fusion Transformer with Subject-Specific Adapter for
  Enhancing RSVP-BCI Decoding
A Temporal-Spectral Fusion Transformer with Subject-Specific Adapter for Enhancing RSVP-BCI Decoding
Xujin Li
Wei Wei
Shuang Qiu
Huiguang He
88
2
0
12 Jan 2024
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion
  Models for Enhanced Skin Disease Classification using ViT and CNN
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN
Muhammad Ali Farooq
Wang Yao
Michael Schukat
Mark A Little
Peter Corcoran
DiffMMedIm
73
12
0
10 Jan 2024
TIER: Text-Image Encoder-based Regression for AIGC Image Quality
  Assessment
TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment
Jiquan Yuan
Xinyan Cao
Jinming Che
Qinyuan Wang
Sen Liang
Wei Ren
Jinlong Lin
Xixin Cao
EGVM
62
1
0
08 Jan 2024
Integration of physics-informed operator learning and finite element
  method for parametric learning of partial differential equations
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations
Shahed Rezaei
Ahmad Moeineddin
Michael Kaliske
Markus Apel
AI4CE
114
5
0
04 Jan 2024
Graph Neural Networks for Surfactant Multi-Property Prediction
Graph Neural Networks for Surfactant Multi-Property Prediction
Christoforos Brozos
Jan G. Rittig
Sandip Bhattacharya
Elie Akanny
Christina Kohlmann
Alexander Mitsos
AI4CE
72
8
0
03 Jan 2024
Self-supervised learning for skin cancer diagnosis with limited training
  data
Self-supervised learning for skin cancer diagnosis with limited training data
Hamish Haggerty
Rohitash Chandra
94
4
0
01 Jan 2024
Replica Tree-based Federated Learning using Limited Data
Replica Tree-based Federated Learning using Limited Data
Ramona Ghilea
I. Rekik
70
0
0
28 Dec 2023
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image
  Detection
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
Huan Liu
Zichang Tan
Chuangchuang Tan
Yunchao Wei
Yao-Min Zhao
Jingdong Wang
ViT
102
55
0
27 Dec 2023
An Integrated Imitation and Reinforcement Learning Methodology for
  Robust Agile Aircraft Control with Limited Pilot Demonstration Data
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
Gulay Goktas Sever
Umut Demir
A. S. Satir
M. C. Sahin
N. K. Üre
52
3
0
27 Dec 2023
Transfer and Alignment Network for Generalized Category Discovery
Transfer and Alignment Network for Generalized Category Discovery
Wenbin An
Feng Tian
Wenkai Shi
Yan Chen
Y. Wu
Qianying Wang
Ping Chen
105
11
0
27 Dec 2023
Selective-Memory Meta-Learning with Environment Representations for
  Sound Event Localization and Detection
Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection
Jinbo Hu
Yin Cao
Ming Wu
Qiuqiang Kong
Feiran Yang
Mark D. Plumbley
Jun Yang
80
1
0
27 Dec 2023
Multi-Task Multi-Agent Shared Layers are Universal Cognition of
  Multi-Agent Coordination
Multi-Task Multi-Agent Shared Layers are Universal Cognition of Multi-Agent Coordination
Jiawei Wang
Jian Zhao
Zhengtao Cao
Ruili Feng
Rongjun Qin
Yang Yu
75
1
0
25 Dec 2023
Bayesian Transfer Learning
Bayesian Transfer Learning
Piotr M. Suder
Jason Xu
David B. Dunson
99
6
0
20 Dec 2023
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot
  Multi-Source-Free Transfer
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
Yanru Wu
Jianning Wang
Weida Wang
Yang Li
76
4
0
19 Dec 2023
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation
  in low-data regimes
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
Nabeel Seedat
Nicolas Huynh
B. V. Breugel
M. Schaar
114
29
0
19 Dec 2023
A review of federated learning in renewable energy applications:
  Potential, challenges, and future directions
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup
Stefan Jonas
Angela Meyer
126
4
0
18 Dec 2023
Domain adaption and physical constrains transfer learning for shale gas
  production
Domain adaption and physical constrains transfer learning for shale gas production
Zhao-zhong Yang
Liangjie Gou
Chao Min
Duo Yi
Xiaogang Li
Guo-quan Wen
AI4CE
80
0
0
18 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
114
27
0
16 Dec 2023
Morphological Profiling for Drug Discovery in the Era of Deep Learning
Morphological Profiling for Drug Discovery in the Era of Deep Learning
Qiaosi Tang
R. Ratnayake
Gustavo Seabra
Zhe Jiang
Ruogu Fang
...
Tamer Kahveci
Jiang Bian
Chenglong Li
H. Luesch
Yanjun Li
85
4
0
13 Dec 2023
GIST: Improving Parameter Efficient Fine Tuning via Knowledge
  Interaction
GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction
Jiacheng Ruan
Jingsheng Gao
Mingye Xie
Suncheng Xiang
Zefang Yu
Ting Liu
Yuzhuo Fu
MoE
100
6
0
12 Dec 2023
Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework
  for Enhancing Model Performance and Efficiency
Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency
Suorong Yang
Hongchao Yang
Suhan Guo
Shen Furao
Jian Zhao
50
3
0
09 Dec 2023
Vision-based Learning for Drones: A Survey
Vision-based Learning for Drones: A Survey
Jiaping Xiao
Rangya Zhang
Yuhang Zhang
Mir Feroskhan
79
5
0
08 Dec 2023
Data Scarcity in Recommendation Systems: A Survey
Data Scarcity in Recommendation Systems: A Survey
Zefeng Chen
Wensheng Gan
Jiayang Wu
Kaixia Hu
Hong Lin
87
25
0
08 Dec 2023
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a
  Novel Probabilistic Transfer Learning Strategy
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy
Wyatt Bridgman
Uma Balakrishnan
Reese E. Jones
Jiefu Chen
Xuqing Wu
Cosmin Safta
Yueqin Huang
Mohammad Khalil
39
0
0
07 Dec 2023
Combining inherent knowledge of vision-language models with unsupervised
  domain adaptation through self-knowledge distillation
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through self-knowledge distillation
Thomas Westfechtel
Dexuan Zhang
Tatsuya Harada
VLM
78
2
0
07 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot
  classification
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Victor G. Turrisi da Costa
Nicola Dall’Asen
Yiming Wang
N. Sebe
Elisa Ricci
95
5
0
05 Dec 2023
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