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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
MDF-Net for abnormality detection by fusing X-rays with clinical data
MDF-Net for abnormality detection by fusing X-rays with clinical data
Chih-Jou Hsieh
Isabel Blanco Nobre
Sandra Costa Sousa
Chun Ouyang
M. Brereton
Jacinto C. Nascimento
Joaquim A. Jorge
Catarina Moreira
56
11
0
26 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Jikang Cheng
TTA
147
110
0
23 Feb 2023
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
Kehua Chen
Yuxuan Liang
Jindong Han
Siyuan Feng
Meixin Zhu
Hai Yang
AI4TS
89
8
0
23 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
121
10
0
23 Feb 2023
pykanto: a python library to accelerate research on wild bird song
pykanto: a python library to accelerate research on wild bird song
Nilo Merino Recalde
60
8
0
20 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning:
  Requirements, Paradigms, and Techniques
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
105
13
0
16 Feb 2023
Frugal day-ahead forecasting of multiple local electricity loads by
  aggregating adaptive models
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models
Guillaume Lambert
Bachir Hamrouche
Joseph de Vilmarest
AI4TS
65
3
0
16 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yang Li
Yu Shen
Xinyi Zhang
Wentao Zhang
Tengjiao Wang
BDL
86
31
0
12 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised
  Domain Adaptation
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
93
2
0
10 Feb 2023
Cross-Corpora Spoken Language Identification with Domain Diversification
  and Generalization
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization
Spandan Dey
Md. Sahidullah
G. Saha
66
12
0
10 Feb 2023
Mixed formulation of physics-informed neural networks for
  thermo-mechanically coupled systems and heterogeneous domains
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains
Ali Harandi
Ahmad Moeineddin
Michael Kaliske
Stefanie Reese
Shahed Rezaei
AI4CEPINN
92
44
0
09 Feb 2023
ChemVise: Maximizing Out-of-Distribution Chemical Detection with the
  Novel Application of Zero-Shot Learning
ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning
Alexander M. Moore
Randy C. Paffenroth
K. T. Ngo
J. Uzarski
OODAAML
56
1
0
09 Feb 2023
Zero-Shot Learning for Requirements Classification: An Exploratory Study
Zero-Shot Learning for Requirements Classification: An Exploratory Study
Waad Alhoshan
Alessio Ferrari
Liping Zhao
VLM
117
41
0
09 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks:
  Breaking Transfer Learning Conventions
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
G. Pihlgren
Konstantina Nikolaidou
Prakash Chandra Chhipa
Nosheen Abid
Rajkumar Saini
Fredrik Sandin
Marcus Liwicki
97
10
0
08 Feb 2023
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and
  Future Trends
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends
Xiaoye Qu
Yingjie Gu
Qingrong Xia
Zechang Li
Zhefeng Wang
Baoxing Huai
92
21
0
07 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAIMedIm
133
20
0
05 Feb 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with
  Gated Fusion
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
Yi-An Lai
Elman Mansimov
Yuqing Xie
Yan Zhang
63
4
0
04 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in
  Image Classification
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Gorka Abad
Jing Xu
Stefanos Koffas
Behrad Tajalli
S. Picek
Mauro Conti
AAML
118
6
0
03 Feb 2023
Unpaired Multi-Domain Causal Representation Learning
Unpaired Multi-Domain Causal Representation Learning
Nils Sturma
C. Squires
Mathias Drton
Caroline Uhler
OODCML
117
21
0
02 Feb 2023
Reverse Ordering Techniques for Attention-Based Channel Prediction
Reverse Ordering Techniques for Attention-Based Channel Prediction
Valentina Rizzello
Benedikt Bock
M. Joham
Wolfgang Utschick
AI4TS
100
7
0
01 Feb 2023
The Past, Current, and Future of Neonatal Intensive Care Units with
  Artificial Intelligence
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence
Elif Keles
Ulas Bagci
102
26
0
01 Feb 2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on
  Secure Multi Party Computation
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation
Hang Fan
Xiaoyu Fan
Tianyi Hao
Wei Wei
Kung Chen
Guosai Wang
Xiaofeng Jia
Yidong Li
Wei Xu
68
3
0
31 Jan 2023
CRC-RL: A Novel Visual Feature Representation Architecture for
  Unsupervised Reinforcement Learning
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning
Darshita Jain
A. Majumder
S. Dutta
Swagat Kumar
SSL
69
1
0
31 Jan 2023
Multi-task Highly Adaptive Lasso
Multi-task Highly Adaptive Lasso
Ivana Malenica
Rachael V. Phillips
D. Lazzareschi
Jeremy Coyle
Romain Pirracchio
Mark van der Laan
105
0
0
27 Jan 2023
Feasibility and Transferability of Transfer Learning: A Mathematical
  Framework
Feasibility and Transferability of Transfer Learning: A Mathematical Framework
Haoyang Cao
Haotian Gu
Xin Guo
M. Rosenbaum
85
2
0
27 Jan 2023
Anatomy-aware and acquisition-agnostic joint registration with
  SynthMorph
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph
Malte Hoffmann
Andrew Hoopes
Douglas N. Greve
Bruce Fischl
Adrian Dalca
MedIm
143
16
0
26 Jan 2023
Learning Good Features to Transfer Across Tasks and Domains
Learning Good Features to Transfer Across Tasks and Domains
Pierluigi Zama Ramirez
Adriano Cardace
Luca de Luigi
A. Tonioni
Samuele Salti
Luigi Di Stefano
OOD
95
10
0
26 Jan 2023
Improving Text-based Early Prediction by Distillation from Privileged
  Time-Series Text
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text
Jinghui Liu
Daniel Capurro
Anthony N. Nguyen
Karin Verspoor
AI4TS
47
3
0
26 Jan 2023
Transfer Learning for Olfactory Object Detection
Transfer Learning for Olfactory Object Detection
Mathias Zinnen
Prathmesh Madhu
Peter Bell
Andreas Maier
Vincent Christlein
ObjD
36
4
0
24 Jan 2023
Towards Modular Machine Learning Solution Development: Benefits and
  Trade-offs
Towards Modular Machine Learning Solution Development: Benefits and Trade-offs
Samiyuru Menik
Lakshmish Ramaswamy
74
5
0
23 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
85
19
0
18 Jan 2023
A Survey of Advanced Computer Vision Techniques for Sports
A Survey of Advanced Computer Vision Techniques for Sports
Tiago Mendes-Neves
Luís Meireles
João Mendes-Moreira
94
4
0
18 Jan 2023
Tailor: Altering Skip Connections for Resource-Efficient Inference
Tailor: Altering Skip Connections for Resource-Efficient Inference
Olivia Weng
Gabriel Marcano
Vladimir Loncar
Alireza Khodamoradi
Nojan Sheybani
Andres Meza
F. Koushanfar
K. Denolf
Javier Mauricio Duarte
Ryan Kastner
104
13
0
18 Jan 2023
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial
  Application Case on Autonomous Disassembly
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
Chengzhi Wu
Xuelei Bi
Julius Pfrommer
Alexander Cebulla
Simon Mangold
Jürgen Beyerer
3DPC
90
23
0
12 Jan 2023
CDA: Contrastive-adversarial Domain Adaptation
CDA: Contrastive-adversarial Domain Adaptation
Nishant Yadav
M. Alam
Ahmed K. Farahat
Dipanjan Ghosh
Chetan Gupta
A. Ganguly
37
2
0
10 Jan 2023
Transfer learning for conflict and duplicate detection in software
  requirement pairs
Transfer learning for conflict and duplicate detection in software requirement pairs
G. Malik
Savaş Yıldırım
Mucahit Cevik
A. Bener
D. Parikh
61
4
0
09 Jan 2023
Network Slicing via Transfer Learning aided Distributed Deep
  Reinforcement Learning
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
Tianlun Hu
Qi Liao
Qian Liu
Georg Carle
OffRL
32
8
0
09 Jan 2023
Removing Non-Stationary Knowledge From Pre-Trained Language Models for
  Entity-Level Sentiment Classification in Finance
Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance
Seunghyeok Hong
Hanwool Albert Lee
Nahyeon Kang
Moonjeong Hahm
69
8
0
09 Jan 2023
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential
  Quantum Enhanced Training
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training
Philipp Altmann
Leo Sünkel
Jonas Stein
Tobias Müller
Christoph Roch
Claudia Linnhoff-Popien
54
5
0
06 Jan 2023
LostNet: A smart way for lost and find
LostNet: A smart way for lost and find
Meihua Zhou
Ivan Fung
Li Yang
Nan Wan
Keke Di
Tingting Wang
53
2
0
05 Jan 2023
Reprogramming Pretrained Language Models for Protein Sequence
  Representation Learning
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning
R. Vinod
Pin-Yu Chen
Payel Das
145
14
0
05 Jan 2023
A comprehensive review of automatic text summarization techniques:
  method, data, evaluation and coding
A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding
D. Cajueiro
A. G. Nery
Igor Tavares
Maísa Kely de Melo
Silvia A. dos Reis
Weigang Li
V. R. R. Celestino
88
15
0
04 Jan 2023
Conservation Tools: The Next Generation of Engineering--Biology
  Collaborations
Conservation Tools: The Next Generation of Engineering--Biology Collaborations
Andrew Schulz
Cassie Shriver
Suzanne Stathatos
Benjamin Seleb
E. Weigel
Young-Hui Chang
M. S. Bhamla
David Hu
Biomolecular Engineering Georgia Tech
Zoo Atlanta
92
14
0
03 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
96
5
0
02 Jan 2023
A Survey on Protein Representation Learning: Retrospect and Prospect
A Survey on Protein Representation Learning: Retrospect and Prospect
Lirong Wu
Yu-Feng Huang
H. Lin
Stan Z. Li
AI4TS
109
12
0
31 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural
  Collapse
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
Xiao Li
Sheng Liu
Jin-li Zhou
Xin Lu
C. Fernandez‐Granda
Zhihui Zhu
Q. Qu
AAML
101
20
0
23 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha
Xinlei He
Pascal Berrang
Mathias Humbert
Yang Zhang
AAML
90
38
0
18 Dec 2022
Graph Neural Network based Child Activity Recognition
Graph Neural Network based Child Activity Recognition
Sanka Mohottala
Pradeepa Samarasinghe
D. Kasthurirathna
Charith Abhayaratne
BDLGNN
83
6
0
18 Dec 2022
Reliable extrapolation of deep neural operators informed by physics or
  sparse observations
Reliable extrapolation of deep neural operators informed by physics or sparse observations
Min Zhu
Handi Zhang
Anran Jiao
George Karniadakis
Lu Lu
108
100
0
13 Dec 2022
Egocentric Video Task Translation
Egocentric Video Task Translation
Zihui Xue
Yale Song
Kristen Grauman
Lorenzo Torresani
EgoV
75
13
0
13 Dec 2022
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