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A Comprehensive Survey on Transfer Learning

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
ArXivPDFHTML

Papers citing "A Comprehensive Survey on Transfer Learning"

50 / 997 papers shown
Title
Portuguese FAQ for Financial Services
Portuguese FAQ for Financial Services
Paulo Finardi
Wanderley M. Melo
Edgard D. Medeiros Neto
Alex F. Mansano
Pablo B. Costa
Vinicius Fernandes Caridá
42
0
0
19 Nov 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent
Few-Shot Classification & Segmentation Using Large Language Models Agent
Tian Meng
Yang Tao
Wuliang Yin
VLM
41
1
0
19 Nov 2023
Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis
  using Auto-Augmentation and Search Optimisation Techniques
Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis using Auto-Augmentation and Search Optimisation Techniques
Leon Hamnett
M. Adewunmi
M. Abayomi
Kayode Raheem
Fahad Ahmed
ViT
13
1
0
18 Nov 2023
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
Thomas Westfechtel
Hao-Wei Yeh
Dexuan Zhang
Tatsuya Harada
CLL
49
14
0
16 Nov 2023
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying
  Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning
  Approach
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach
Md Mobasshir Rashid
Rezaur Rahman
Samiul Hasan
18
1
0
16 Nov 2023
Language Semantic Graph Guided Data-Efficient Learning
Language Semantic Graph Guided Data-Efficient Learning
Wenxuan Ma
Shuang Li
Lincan Cai
Jingxuan Kang
45
4
0
15 Nov 2023
How to Do Machine Learning with Small Data? -- A Review from an
  Industrial Perspective
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective
I. Kraljevski
Yong Chul Ju
Dmitrij Ivanov
Constanze Tschope
M. Wolff
AI4CE
30
4
0
13 Nov 2023
Deep Fast Vision: A Python Library for Accelerated Deep Transfer
  Learning Vision Prototyping
Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision Prototyping
Fabi Prezja
CLIP
19
1
0
10 Nov 2023
Latent Task-Specific Graph Network Simulators
Latent Task-Specific Graph Network Simulators
Philipp Dahlinger
Niklas Freymuth
Michael Volpp
Tai Hoang
Gerhard Neumann
AI4CE
35
0
0
09 Nov 2023
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits
  in Large Language Models
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
Michael Lan
Phillip H. S. Torr
Fazl Barez
LRM
35
3
0
07 Nov 2023
Risk of Transfer Learning and its Applications in Finance
Risk of Transfer Learning and its Applications in Finance
Haoyang Cao
Haotian Gu
Xin Guo
Mathieu Rosenbaum
34
0
0
06 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
Artyom Gadetsky
Maria Brbić
22
6
0
06 Nov 2023
Online non-parametric likelihood-ratio estimation by Pearson-divergence
  functional minimization
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization
Alejandro de la Concha
Nicolas Vayatis
Argyris Kalogeratos
24
1
0
03 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
36
4
0
02 Nov 2023
CreoleVal: Multilingual Multitask Benchmarks for Creoles
CreoleVal: Multilingual Multitask Benchmarks for Creoles
Heather Lent
Kushal Tatariya
Raj Dabre
Yiyi Chen
Marcell Richard Fekete
...
Miryam de Lhoneux
Daniel Hershcovich
Michel DeGraff
Anders Sogaard
Johannes Bjerva
SLR
41
9
0
30 Oct 2023
Transductive conformal inference with adaptive scores
Transductive conformal inference with adaptive scores
Ulysse Gazin
Gilles Blanchard
Étienne Roquain
19
10
0
27 Oct 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
Zhiqing Xiao
Haobo Wang
Ying Jin
Lei Feng
Gang Chen
Fei Huang
Junbo Zhao
34
15
0
26 Oct 2023
Transfer of Reinforcement Learning-Based Controllers from Model- to
  Hardware-in-the-Loop
Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop
Mario Picerno
Lucas Koch
Kevin Badalian
Marius Wegener
Joschka Schaub
C. R. Koch
Jakob Andert
17
1
0
25 Oct 2023
Task Grouping for Automated Multi-Task Machine Learning via Task
  Affinity Prediction
Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction
Afiya Ayman
Ayan Mukhopadhyay
Aron Laszka
15
1
0
24 Oct 2023
Knowledge Editing for Large Language Models: A Survey
Knowledge Editing for Large Language Models: A Survey
Song Wang
Yaochen Zhu
Haochen Liu
Zaiyi Zheng
Chen Chen
Wenlin Yao
KELM
81
137
0
24 Oct 2023
Transfer learning for day-ahead load forecasting: a case study on
  European national electricity demand time series
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series
Alexandros-Menelaos Tzortzis
Sotiris Pelekis
Evangelos Spiliotis
S. Mouzakitis
J. Psarras
D. Askounis
AI4TS
18
13
0
24 Oct 2023
An effective theory of collective deep learning
An effective theory of collective deep learning
Lluís Arola-Fernández
Lucas Lacasa
FedML
AI4CE
18
2
0
19 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
Yixin Wu
Rui Wen
Michael Backes
Pascal Berrang
Mathias Humbert
Yun Shen
Yang Zhang
AAML
VPVLM
32
8
0
18 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds
Federated Learning with Nonvacuous Generalisation Bounds
Pierre Jobic
Maxime Haddouche
Benjamin Guedj
FedML
30
3
0
17 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference
Sensitivity-Aware Amortized Bayesian Inference
Lasse Elsemüller
Hans Olischläger
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
25
7
0
17 Oct 2023
Structural transfer learning of non-Gaussian DAG
Structural transfer learning of non-Gaussian DAG
Mingyang Ren
Xin He
Junhui Wang
CML
19
0
0
16 Oct 2023
Explore the Effect of Data Selection on Poison Efficiency in Backdoor
  Attacks
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks
Ziqiang Li
Pengfei Xia
Hong Sun
Yueqi Zeng
Wei Zhang
Bin Li
AAML
48
10
0
15 Oct 2023
Advancing Perception in Artificial Intelligence through Principles of
  Cognitive Science
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science
Palaash Agrawal
Cheston Tan
Heena Rathore
54
1
0
13 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Jindong Wang
Qiang Yang
Zhi-Hong Mao
Ye Ye
30
4
0
12 Oct 2023
Prompt Backdoors in Visual Prompt Learning
Prompt Backdoors in Visual Prompt Learning
Hai Huang
Zhengyu Zhao
Michael Backes
Yun Shen
Yang Zhang
VLM
VPVLM
AAML
SILM
43
2
0
11 Oct 2023
Model-based Clustering of Individuals' Ecological Momentary Assessment
  Time-series Data for Improving Forecasting Performance
Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance
Mandani Ntekouli
Gerasimos Spanakis
L. Waldorp
A. Roefs
21
1
0
11 Oct 2023
Give and Take: Federated Transfer Learning for Industrial IoT Network
  Intrusion Detection
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection
Lochana Telugu Rajesh
Tapadhir Das
R. Shukla
S. Sengupta
14
9
0
11 Oct 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN
  Partition for On-Device ML
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML
Ziqi Zhang
Chen Gong
Yifeng Cai
Yuanyuan Yuan
Bingyan Liu
Ding Li
Yao Guo
Xiangqun Chen
FedML
37
16
0
11 Oct 2023
Efficient Adaptation of Large Vision Transformer via Adapter
  Re-Composing
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Wei Dong
Dawei Yan
Zhijun Lin
Peng Wang
27
21
0
10 Oct 2023
Layer-Adapted Implicit Distribution Alignment Networks for Cross-Corpus
  Speech Emotion Recognition
Layer-Adapted Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition
Yan Zhao
Yuan Zong
Jincen Wang
Hailun Lian
Cheng Lu
Li Zhao
Wenming Zheng
CVBM
33
3
0
06 Oct 2023
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust
  Closed-Loop Control
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Neehal Tumma
Mathias Lechner
Noel Loo
Ramin Hasani
Daniela Rus
38
0
0
05 Oct 2023
Progressive reduced order modeling: empowering data-driven modeling with
  selective knowledge transfer
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer
T. Kadeethum
Daniel O’Malley
Youngsoo Choi
Hari S. Viswanathan
Hongkyu Yoon
AI4CE
23
1
0
04 Oct 2023
Crossed-IoT device portability of Electromagnetic Side Channel Analysis:
  Challenges and Dataset
Crossed-IoT device portability of Electromagnetic Side Channel Analysis: Challenges and Dataset
T. Yasarathna
Lojenaa Navanesan
Simon Barque
Assanka Sayakkara
Nhien-An Le-Khac
28
2
0
04 Oct 2023
A Survey of GPT-3 Family Large Language Models Including ChatGPT and
  GPT-4
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
LM&MA
AI4CE
LRM
AILaw
ELM
43
226
0
04 Oct 2023
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
32
806
0
03 Oct 2023
City Foundation Models for Learning General Purpose Representations from
  OpenStreetMap
City Foundation Models for Learning General Purpose Representations from OpenStreetMap
Pasquale Balsebre
Weiming Huang
Gao Cong
Yi Li
AI4CE
36
16
0
01 Oct 2023
VideoAdviser: Video Knowledge Distillation for Multimodal Transfer
  Learning
VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning
Yanan Wang
Donghuo Zeng
Shinya Wada
Satoshi Kurihara
32
6
0
27 Sep 2023
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
Patrick Feeney
M. C. Hughes
36
3
0
25 Sep 2023
Comparative Evaluation of Transfer Learning for Classification of Brain
  Tumor Using MRI
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI
Mohammad Masum
Nusrat Badhon
S. M. Saiful
Nushrat Jahan
Islam Badhon
M. Syed
Naveed Mahmud
15
1
0
24 Sep 2023
The Broad Impact of Feature Imitation: Neural Enhancements Across
  Financial, Speech, and Physiological Domains
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains
Reza Khanmohammadi
Tuka Alhanai
M. Ghassemi
19
2
0
21 Sep 2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG
  Signals: A Comprehensive Review from 2002-2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
M. Jafari
Delaram Sadeghi
A. Shoeibi
Hamid Alinejad-Rokny
Amin Beheshti
David López-García
Zhaolin Chen
U. Acharya
Juan M Gorriz
35
21
0
14 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning
  and Minimax Entropy
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Jiaren Xiao
Quanyu Dai
X. Shen
Xiaochen Xie
Jing Dai
James Lam
Ka-Wai Kwok
33
6
0
14 Sep 2023
End-to-end Phase Field Model Discovery Combining Experimentation,
  Crowdsourcing, Simulation and Learning
End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning
Md Nasim
Anter El-Azab
Xinghang Zhang
Yexiang Xue
16
0
0
13 Sep 2023
Large Language Models for Difficulty Estimation of Foreign Language
  Content with Application to Language Learning
Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning
Michalis Vlachos
Mircea Lungu
Yash Raj Shrestha
Johannes-Rudolf David
30
2
0
10 Sep 2023
Active shooter detection and robust tracking utilizing supplemental
  synthetic data
Active shooter detection and robust tracking utilizing supplemental synthetic data
Joshua R. Waite
Jiale Feng
Riley Tavassoli
Laura M. Harris
Sin Yong Tan
Subhadeep Chakraborty
Soumik Sarkar
26
3
0
06 Sep 2023
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