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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
Utilizing Active Machine Learning for Quality Assurance: A Case Study of
  Virtual Car Renderings in the Automotive Industry
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
60
4
0
18 Oct 2021
A Field Guide to Scientific XAI: Transparent and Interpretable Deep
  Learning for Bioinformatics Research
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
93
2
0
13 Oct 2021
Performance Evaluation of Deep Transfer Learning on Multiclass
  Identification of Common Weed Species in Cotton Production Systems
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
103
105
0
11 Oct 2021
An In-depth Summary of Recent Artificial Intelligence Applications in
  Drug Design
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
Yi Zhang
AI4CE
82
6
0
10 Oct 2021
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal
  Spaces
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces
Sarah Di
Robin Yu
Amol Kapoor
33
0
0
09 Oct 2021
Visualizing the embedding space to explain the effect of knowledge
  distillation
Visualizing the embedding space to explain the effect of knowledge distillation
Hyun Seung Lee
C. Wallraven
79
1
0
09 Oct 2021
SWAT Watershed Model Calibration using Deep Learning
SWAT Watershed Model Calibration using Deep Learning
M. Mudunuru
K. Son
Pin Jiang
X. Chen
52
2
0
06 Oct 2021
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation
Aladin Virmaux
Illyyne Saffar
Jianfeng Zhang
Balázs Kégl
OOD
51
0
0
06 Oct 2021
On The Transferability of Deep-Q Networks
On The Transferability of Deep-Q Networks
M. Sabatelli
Pierre Geurts
87
2
0
06 Oct 2021
Perturbated Gradients Updating within Unit Space for Deep Learning
Perturbated Gradients Updating within Unit Space for Deep Learning
Ching-Hsun Tseng
Liu Cheng
Shin-Jye Lee
Xiaojun Zeng
123
5
0
01 Oct 2021
The More, the Better? A Study on Collaborative Machine Learning for DGA
  Detection
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection
Arthur Drichel
Benedikt Holmes
Justus von Brandt
Ulrike Meyer
152
7
0
24 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using
  Relation Networks
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks
Amirreza Sobhdel
R. Razavi-Far
87
4
0
22 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
121
25
0
20 Sep 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of
  Coregionalization
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Haitao Liu
Jiaqi Ding
Xinyu Xie
Xiaomo Jiang
Yusong Zhao
Xiaofang Wang
BDL
72
17
0
20 Sep 2021
Optimal Ensemble Construction for Multi-Study Prediction with
  Applications to COVID-19 Excess Mortality Estimation
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
Gabriel Loewinger
Rolando Acosta Nunez
Rahul Mazumder
Giovanni Parmigiani
59
0
0
19 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
304
258
1
10 Sep 2021
A Survey of Sound Source Localization with Deep Learning Methods
A Survey of Sound Source Localization with Deep Learning Methods
Pierre-Amaury Grumiaux
Srdjan Kitić
Laurent Girin
Alexandre Guérin
82
257
0
08 Sep 2021
Dual Transfer Learning for Event-based End-task Prediction via Pluggable
  Event to Image Translation
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
Lin Wang
Yujeong Chae
Kuk-Jin Yoon
90
33
0
04 Sep 2021
A Comprehensive Approach for UAV Small Object Detection with
  Simulation-based Transfer Learning and Adaptive Fusion
A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion
Rui Chen
Youwei Guo
Huafei Zheng
Hongyu Jiang
82
15
0
04 Sep 2021
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms
Xuetong Wu
J. Manton
U. Aickelin
Jingge Zhu
74
17
0
03 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CMLOOD
188
536
0
31 Aug 2021
LIGAR: Lightweight General-purpose Action Recognition
LIGAR: Lightweight General-purpose Action Recognition
Evgeny Izutov
51
3
0
30 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several
  distribution shifts
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Masanari Kimura
Takuma Nakamura
Yuki Saito
OOD
98
3
0
30 Aug 2021
A Web Scale Entity Extraction System
A Web Scale Entity Extraction System
Xuanting Cai
Quanbin Ma
Pan Li
Jianyu Liu
Qi Zeng
Zhengkan Yang
Pushkar Tripathi
42
0
0
27 Aug 2021
Music Composition with Deep Learning: A Review
Music Composition with Deep Learning: A Review
Carlos Hernandez-Olivan
J. R. Beltrán
CoGeVLM
101
72
0
27 Aug 2021
Unsupervised domain adaptation for clinician pose estimation and
  instance segmentation in the operating room
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room
V. Srivastav
A. Gangi
N. Padoy
OOD
96
11
0
26 Aug 2021
A new semi-supervised inductive transfer learning framework: Co-Transfer
A new semi-supervised inductive transfer learning framework: Co-Transfer
Ze Yuan
Yimin Wen
112
1
0
18 Aug 2021
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning
  using Small Datasets
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
Octavi Obiols-Sales
Abhinav Vishnu
Nicholas Malaya
Aparna Chandramowlishwaran
AI4CE
76
25
0
17 Aug 2021
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
CLLOffRL
74
7
0
14 Aug 2021
NI-UDA: Graph Adversarial Domain Adaptation from
  Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
Guangyi Xiao
Weiwei Xiang
Huan Liu
Hao Chen
Shun Peng
Jingzhi Guo
Zhiguo Gong
86
0
0
11 Aug 2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning
  via Noise-enhanced Supervised Autoencoder
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
Hanwen Liang
Qiong Zhang
Peng Dai
Juwei Lu
90
63
0
11 Aug 2021
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular
  Depth Estimation in the Dark
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark
Kun Wang
Zhenyu Zhang
Zhiqiang Yan
Xiang Li
Baobei Xu
Jun Li
Jian Yang
MDE
116
82
0
09 Aug 2021
Deep Transfer Learning for Identifications of Slope Surface Cracks
Deep Transfer Learning for Identifications of Slope Surface Cracks
Yuting Yang
Gang Mei
64
9
0
08 Aug 2021
Learning Compatible Embeddings
Learning Compatible Embeddings
Qiang Meng
Chixiang Zhang
Xiaoqiang Xu
F. Zhou
VLM
68
38
0
04 Aug 2021
Domain Adaptor Networks for Hyperspectral Image Recognition
Domain Adaptor Networks for Hyperspectral Image Recognition
Gustavo Pérez
Subhransu Maji
31
0
0
03 Aug 2021
Transformer-based Map Matching Model with Limited Ground-Truth Data
  using Transfer-Learning Approach
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
Zhixiong Jin
Jiwon Kim
H. Yeo
Seongjin Choi
63
30
0
01 Aug 2021
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge
Aryan Karn
Ashutosh Acharya
44
0
0
29 Jul 2021
Toward Co-creative Dungeon Generation via Transfer Learning
Toward Co-creative Dungeon Generation via Transfer Learning
Zisen Zhou
Matthew J. Guzdial
GAN
70
4
0
27 Jul 2021
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text
  Classification
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
Chengcheng Han
Zeqiu Fan
Dongxiang Zhang
Minghui Qiu
Ming Gao
Aoying Zhou
VLM
59
64
0
26 Jul 2021
Workpiece Image-based Tool Wear Classification in Blanking Processes
  Using Deep Convolutional Neural Networks
Workpiece Image-based Tool Wear Classification in Blanking Processes Using Deep Convolutional Neural Networks
D. Molitor
C. Kubik
R. Hetfleisch
Peter Groche
29
19
0
26 Jul 2021
A Deep Learning-based Quality Assessment and Segmentation System with a
  Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography
  Image
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Yu-Fang Wang
Yiqing Shen
Meng Yuan
Jing Xu
B. Yang
Chicheng Liu
Wenjia Cai
Weijing Cheng
Wei Wang
89
19
0
22 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep
  Neural Networks
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
T. Dash
Sharad Chitlangia
Aditya Ahuja
A. Srinivasan
122
133
0
21 Jul 2021
Exploiting generative self-supervised learning for the assessment of
  biological images with lack of annotations: a COVID-19 case-study
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study
Alessio Mascolini
Dario Cardamone
Francesco Ponzio
S. D. Cataldo
E. Ficarra
MedIm
61
16
0
16 Jul 2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without
  Source Data
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Ning Ma
Jiajun Bu
Zhen Zhang
Sheng Zhou
TTA
84
14
0
14 Jul 2021
Toward Efficient Transfer Learning in 6G
Toward Efficient Transfer Learning in 6G
S. Parsaeefard
A. Leon-Garcia
98
5
0
12 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks
Identifying Layers Susceptible to Adversarial Attacks
Shoaib Ahmed Siddiqui
Thomas Breuel
AAML
36
1
0
10 Jul 2021
Redescription Model Mining
Redescription Model Mining
Felix I. Stamm
Martin Becker
M. Strohmaier
Florian Lemmerich
26
1
0
09 Jul 2021
Multi-path Convolutional Neural Networks Efficiently Improve Feature
  Extraction in Continuous Adventitious Lung Sound Detection
Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection
Fu-Shun Hsu
Shang-Ran Huang
Chien-Wen Huang
Chun-Chieh Chen
Yuan-Ren Cheng
F. Lai
39
1
0
09 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on
  Tasks
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
79
8
0
06 Jul 2021
Trans4E: Link Prediction on Scholarly Knowledge Graphs
Trans4E: Link Prediction on Scholarly Knowledge Graphs
M. Nayyeri
Gökce Müge Çil
S. Vahdati
Francesco Osborne
Mahfuzur Rahman
...
Angelo Salatino
Diego Reforgiato Recupero
Nadezhda Vassilyeva
Enrico Motta
Jens Lehmann
72
62
0
03 Jul 2021
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