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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
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
189
36
0
04 Jul 2022
Transfer Learning with Deep Tabular Models
Transfer Learning with Deep Tabular Models
Roman Levin
Valeriia Cherepanova
Avi Schwarzschild
Arpit Bansal
C. Bayan Bruss
Tom Goldstein
A. Wilson
Micah Goldblum
OODFedMLLMTD
141
64
0
30 Jun 2022
Transfer Learning via Test-Time Neural Networks Aggregation
Transfer Learning via Test-Time Neural Networks Aggregation
Bruno Casella
Alessio Barbaro Chisari
Sebastiano Battiato
M. Giuffrida
FedMLOOD
64
4
0
27 Jun 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
165
229
0
27 Jun 2022
Memory-Guided Multi-View Multi-Domain Fake News Detection
Memory-Guided Multi-View Multi-Domain Fake News Detection
Yongchun Zhu
Qiang Sheng
Juan Cao
Qiong Nan
Kai Shu
Ming-hui Wu
Jindong Wang
Fuzhen Zhuang
81
81
0
26 Jun 2022
Gated Domain Units for Multi-source Domain Generalization
Gated Domain Units for Multi-source Domain Generalization
Simon Foll
Alina Dubatovka
Eugen Ernst
Siu Lun Chau
Martin Maritsch
Patrik Okanovic
Gudrun Thater
J. M. Buhmann
Felix Wortmann
Krikamol Muandet
OOD
142
4
0
24 Jun 2022
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang
Chuanyan Hu
Ruijie Xu
Zhitong Gao
Qian He
Xuming He
37
4
0
24 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Jiayin Jin
Zeru Zhang
Yang Zhou
Lingfei Wu
73
13
0
22 Jun 2022
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Tianshi Cao
Sasha Doubov
David Acuna
Sanja Fidler
111
6
0
19 Jun 2022
A Survey on Computational Intelligence-based Transfer Learning
A Survey on Computational Intelligence-based Transfer Learning
Mohamad Zamini
Eunjin Kim
50
2
0
17 Jun 2022
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for
  Estimated Time of Arrival Prediction
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction
H. Tran
S. T. Nguyen
I-Ling Yen
F. Bastani
27
1
0
17 Jun 2022
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
Changan Chen
Carl Schissler
Sanchit Garg
Philip Kobernik
Alexander Clegg
P. Calamia
Dhruv Batra
Philip Robinson
Kristen Grauman
3DGS
128
86
0
16 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks
DORA: Exploring Outlier Representations in Deep Neural Networks
Kirill Bykov
Mayukh Deb
Dennis Grinwald
Klaus-Robert Muller
Marina M.-C. Höhne
123
13
0
09 Jun 2022
Sim2real for Reinforcement Learning Driven Next Generation Networks
Sim2real for Reinforcement Learning Driven Next Generation Networks
Peizheng Li
Jonathan D. Thomas
Xiaoyang Wang
Hakan Erdol
A. Ahmad
...
S. Kapoor
Arjun Parekh
A. Doufexi
Arman Shojaeifard
Robert Piechocki
59
3
0
08 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Yang Shu
Zhangjie Cao
Ziyang Zhang
Jianmin Wang
Mingsheng Long
79
4
0
08 Jun 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning
  Approach
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach
Yueqing Liang
Canyu Chen
Tian Tian
Kai Shu
FaML
74
9
0
08 Jun 2022
On the Permanence of Backdoors in Evolving Models
On the Permanence of Backdoors in Evolving Models
Huiying Li
A. Bhagoji
Yuxin Chen
Haitao Zheng
Ben Y. Zhao
AAML
85
2
0
08 Jun 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
90
235
0
07 Jun 2022
Machine Learning Sensors
Machine Learning Sensors
Pete Warden
Matthew P. Stewart
Brian Plancher
Colby R. Banbury
Shvetank Prakash
Emma Chen
Zain Asgar
Sachin Katti
Vijay Janapa Reddi
88
12
0
07 Jun 2022
Explaining the physics of transfer learning a data-driven subgrid-scale
  closure to a different turbulent flow
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow
Adam Subel
Yifei Guan
Ashesh Chattopadhyay
Pedram Hassanzadeh
AI4CE
59
43
0
07 Jun 2022
Transfer learning to decode brain states reflecting the relationship
  between cognitive tasks
Transfer learning to decode brain states reflecting the relationship between cognitive tasks
Youzhi Qu
Xinyao Jian
Wenxin Che
Penghui Du
K. Fu
Quanying Liu
66
4
0
07 Jun 2022
Analysis, Characterization, Prediction and Attribution of Extreme
  Atmospheric Events with Machine Learning: a Review
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
S. Salcedo-Sanz
Jorge Pérez-Aracil
G. Ascenso
Javier Del Ser
D. Casillas-Pérez
...
D. Barriopedro
R. García-Herrera
Marcello Restelli
M. Giuliani
A. Castelletti
AI4Cl
80
13
0
03 Jun 2022
Optimization with Access to Auxiliary Information
Optimization with Access to Auxiliary Information
El Mahdi Chayti
Sai Praneeth Karimireddy
AAML
107
10
0
01 Jun 2022
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of
  Source-Specific Backdoor Defences
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences
Shang Wang
Yansong Gao
Anmin Fu
Zhi-Li Zhang
Yuqing Zhang
W. Susilo
Dongxi Liu
AAML
131
12
0
31 May 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
Marcin Przewiȩźlikowski
P. Przybysz
Jacek Tabor
Maciej Ziȩba
Przemysław Spurek
118
20
0
31 May 2022
Group Probability-Weighted Tree Sums for Interpretable Modeling of
  Heterogeneous Data
Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data
Keyan Nasseri
Chandan Singh
James Duncan
Aaron E. Kornblith
Bin Yu
116
3
0
30 May 2022
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities
  in Simulations
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations
Michael D. Vander Wal
R. McClarren
K. Humbird
AI4CE
68
4
0
28 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement
  Learning
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
110
9
0
28 May 2022
Group-level Brain Decoding with Deep Learning
Group-level Brain Decoding with Deep Learning
Richard Csaky
M. Es
Oiwi Parker Jones
M. Woolrich
53
12
0
27 May 2022
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble
  Pseudo-Labeling
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
VLMTTAOOD
74
3
0
26 May 2022
On statistic alignment for domain adaptation in structural health
  monitoring
On statistic alignment for domain adaptation in structural health monitoring
J. Poole
P. Gardner
N. Dervilis
L. Bull
Keith Worden
55
27
0
24 May 2022
CryptoTL: Private, Efficient and Secure Transfer Learning
CryptoTL: Private, Efficient and Secure Transfer Learning
Roman Walch
Samuel Sousa
Lukas Helminger
Stefanie N. Lindstaedt
Christian Rechberger
A. Trugler
69
8
0
24 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
80
39
0
20 May 2022
Causal Inference from Small High-dimensional Datasets
Causal Inference from Small High-dimensional Datasets
Raquel Y. S. Aoki
Martin Ester
CML
64
4
0
19 May 2022
L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from
  Smartphone Data
L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data
M. Campana
A. Rovati
Franca Delmastro
Elena Pagani
68
10
0
16 May 2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Ziyuan Zhao
Wenjing Lu
Zeng Zeng
Kaixin Xu
B. Veeravalli
Cuntai Guan
71
9
0
14 May 2022
Improving Neural Machine Translation of Indigenous Languages with
  Multilingual Transfer Learning
Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning
Wei-Rui Chen
Muhammad Abdul-Mageed
74
7
0
14 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
130
391
0
13 May 2022
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
Alon Albalak
Yi-Lin Tuan
Pegah Jandaghi
Connor Pryor
Luke Yoffe
Deepak Ramachandran
Lise Getoor
Jay Pujara
William Yang Wang
87
14
0
12 May 2022
AutoKE: An automatic knowledge embedding framework for scientific
  machine learning
AutoKE: An automatic knowledge embedding framework for scientific machine learning
Mengge Du
Yuntian Chen
Dongxiao Zhang
AI4CE
78
11
0
11 May 2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from
  Multi-domains
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Haiyang Yang
Meilin Chen
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Wanli Ouyang
73
19
0
10 May 2022
CoDo: Contrastive Learning with Downstream Background Invariance for
  Detection
CoDo: Contrastive Learning with Downstream Background Invariance for Detection
Bing Zhao
Jun Li
Hong Zhu
SSL
63
2
0
10 May 2022
Training from Zero: Radio Frequency Machine Learning Data Quantity
  Forecasting
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting
IV WilliamH.Clark
Alan J. Michaels
55
2
0
07 May 2022
Comparison Knowledge Translation for Generalizable Image Classification
Comparison Knowledge Translation for Generalizable Image Classification
Zunlei Feng
Tian Qiu
Sai Wu
Xi Jin
Zengliang He
Min-Gyoo Song
Huiqiong Wang
VLM
43
0
0
07 May 2022
Utility-Oriented Underwater Image Quality Assessment Based on Transfer
  Learning
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning
Weiling Chen
Rongfu Lin
Honggang Liao
Tiesong Zhao
Ke Gu
P. Le Callet
AAML
26
0
0
07 May 2022
Learning to Cooperate with Completely Unknown Teammates
Learning to Cooperate with Completely Unknown Teammates
Alexandre Neves
Alberto Sardinha
106
1
0
06 May 2022
One-way Explainability Isn't The Message
One-way Explainability Isn't The Message
A. Srinivasan
Michael Bain
Enrico W. Coiera
46
2
0
05 May 2022
Lifelong Ensemble Learning based on Multiple Representations for
  Few-Shot Object Recognition
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition
Hamidreza Kasaei
Songsong Xiong
81
13
0
04 May 2022
Learning to Transfer Prompts for Text Generation
Learning to Transfer Prompts for Text Generation
Junyi Li
Tianyi Tang
J. Nie
Ji-Rong Wen
Wayne Xin Zhao
91
40
0
03 May 2022
Human-in-the-loop online multi-agent approach to increase
  trustworthiness in ML models through trust scores and data augmentation
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation
Gusseppe Bravo Rocca
Peini Liu
Jordi Guitart
Ajay Dholakia
David Ellison
M. Hodak
69
2
0
29 Apr 2022
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