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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
Transfer learning for tensor Gaussian graphical models
Transfer learning for tensor Gaussian graphical models
Mingyang Ren
Yao Zhen
Junhui Wang
26
1
0
17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
29
14
0
17 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of
  Materials
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials
Shehtab Zaman
E. Ferguson
Cécile Pereira
D. Akhiyarov
Mauricio Araya-Polo
Kenneth Chiu
DiffM
AI4CE
37
2
0
15 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
44
17
0
15 Nov 2022
Using Human Perception to Regularize Transfer Learning
Using Human Perception to Regularize Transfer Learning
Justin Dulay
Walter J. Scheirer
27
8
0
15 Nov 2022
Renewing Iterative Self-labeling Domain Adaptation with Application to
  the Spine Motion Prediction
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction
Gecheng Chen
Yu Zhou
Xudong Zhang
Rui Tuo
34
1
0
14 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments
A Survey on Preserving Fairness Guarantees in Changing Environments
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
FaML
37
3
0
14 Nov 2022
Integrating Transformer and Autoencoder Techniques with Spectral Graph
  Algorithms for the Prediction of Scarcely Labeled Molecular Data
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data
Nicole Hayes
Ekaterina Merkurjev
Guo-Wei Wei
33
8
0
12 Nov 2022
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization
Jose Pablo Folch
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
43
24
0
11 Nov 2022
Learning Visual Representation of Underwater Acoustic Imagery Using
  Transformer-Based Style Transfer Method
Learning Visual Representation of Underwater Acoustic Imagery Using Transformer-Based Style Transfer Method
Xiaoteng Zhou
Changli Yu
S. Yuan
Xin Yuan
Hang Yu
Citong Luo
ViT
32
1
0
10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat
F. Imrie
M. Schaar
32
12
0
09 Nov 2022
Towards Global Crop Maps with Transfer Learning
Towards Global Crop Maps with Transfer Learning
H. Jo
Alkiviadis Koukos
Vasileios Sitokonstantinou
Wookyun Lee
C. Kontoes
19
4
0
09 Nov 2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
Cheryl J. Flynn
Aritra Guha
S. Majumdar
D. Srivastava
Zhen-Xiong Zhou
27
0
0
08 Nov 2022
$BT^2$: Backward-compatible Training with Basis Transformation
BT2BT^2BT2: Backward-compatible Training with Basis Transformation
Yi Zhou
Zilu Li
Abhinav Shrivastava
Hengshuang Zhao
Antonio Torralba
Taipeng Tian
Ser-Nam Lim
18
3
0
08 Nov 2022
Enabling Deep Learning-based Physical-layer Secret Key Generation for
  FDD-OFDM Systems in Multi-Environments
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
Xinwei Zhang
Guyue Li
Junqing Zhang
Linning Peng
A. Hu
Xianbin Wang
23
9
0
06 Nov 2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems
  in Dynamic Environments
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments
Ke Li
Renzhi Chen
Xin Yao
40
14
0
05 Nov 2022
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image
  Classification
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification
Cam Le
L. D. Pham
Nghia Nvn
Truong Thao Nguyen
L. Trang
31
2
0
05 Nov 2022
A Deep Learning Approach to Generating Photospheric Vector Magnetograms
  of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data
Haodi Jiang
Qin Li
Zhihang Hu
Nian Liu
Yasser Abduallah
...
Genwei Zhang
Yan Xu
Wynne Hsu
Jinqiao Wang
Haimin Wang
32
6
0
04 Nov 2022
Sky-image-based solar forecasting using deep learning with
  multi-location data: training models locally, globally or via transfer
  learning?
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
Yuhao Nie
Quentin Paletta
Andea Scotta
L. Pomares
Guillaume Arbod
S. Sgouridis
Joan Lasenby
A. Brandt
24
7
0
03 Nov 2022
TorchFL: A Performant Library for Bootstrapping Federated Learning
  Experiments
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments
Vivek Khimani
S. Jabbari
FedML
AI4CE
24
0
0
01 Nov 2022
Transfer Learning with Kernel Methods
Transfer Learning with Kernel Methods
Adityanarayanan Radhakrishnan
Max Ruiz Luyten
Neha Prasad
Caroline Uhler
27
19
0
01 Nov 2022
Leveraging Computer Vision Application in Visual Arts: A Case Study on
  the Use of Residual Neural Network to Classify and Analyze Baroque Paintings
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings
Daniel Kvak
21
0
0
27 Oct 2022
A Survey on Artificial Intelligence for Music Generation: Agents,
  Domains and Perspectives
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives
Carlos Hernandez-Olivan
Javier Hernandez-Olivan
J. R. Beltrán
MGen
49
6
0
25 Oct 2022
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step
  Transfer Learning
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning
F. Lopez-Tiro
Juan Pablo Betancur-Rengifo
Arturo Ruiz-Sanchez
Iván Reyes-Amezcua
Jonathan El Beze
Jacques Hubert
M. Daudon
G. Ochoa-Ruiz
C. Daul
40
10
0
24 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion
  Probabilistic Model and Transfer Learning Based Approach
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen
Xinda Qi
Yu Zheng
Yuzhen Lu
Zhao Li
DiffM
26
15
0
18 Oct 2022
Review Learning: Alleviating Catastrophic Forgetting with Generative
  Replay without Generator
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator
Jaesung Yoo
Sung-Hyuk Choi
Yewon Yang
Suhyeon Kim
J. Choi
...
H. J. Joo
Dae-Jung Kim
R. Park
Hyeong-Jin Yoon
Kwangsoo Kim
KELM
OffRL
40
0
0
17 Oct 2022
Accelerating Transfer Learning with Near-Data Computation on Cloud
  Object Stores
Accelerating Transfer Learning with Near-Data Computation on Cloud Object Stores
Arsany Guirguis
Diana Petrescu
Florin Dinu
D. Quoc
Javier Picorel
R. Guerraoui
40
0
0
16 Oct 2022
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine
  Environment
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment
Yuanyuan Qiao
Jiaxin Yin
Wei Wang
Fábio Duarte
Jie Yang
C. Ratti
28
73
0
16 Oct 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to
  Neural Networks for Predicting Material Properties
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui
Daniel S. Karls
Mingjian Wen
Ilia Nikiforov
E. Tadmor
George Karypis
46
7
0
14 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Sourya Basu
P. Sattigeri
Karthikeyan N. Ramamurthy
Vijil Chenthamarakshan
Kush R. Varshney
Lav Varshney
Payel Das
16
18
0
13 Oct 2022
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment
  Analysis
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis
Guilherme Lourencco de Toledo
R. Marcacini
26
4
0
11 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Xiaowu Sun
Yasser Shoukry
53
11
0
11 Oct 2022
Novice Type Error Diagnosis with Natural Language Models
Novice Type Error Diagnosis with Natural Language Models
Chuqin Geng
Haolin Ye
Yixuan Li
Tianyu Han
B. Pientka
X. Si
43
3
0
07 Oct 2022
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach
  for Rotating Machinery exploiting Augmented Synthetic Data
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data
L. Brito
Gian Antonio Susto
J. N. Brito
M. Duarte
36
46
0
06 Oct 2022
Hypernetwork approach to Bayesian MAML
Hypernetwork approach to Bayesian MAML
Piotr Borycki
Piotr Kubacki
Marcin Przewiȩźlikowski
Tomasz Kuśmierczyk
Jacek Tabor
Przemysław Spurek
BDL
19
2
0
06 Oct 2022
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting
  via Transformer and transfer learning
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning
Jiaxin Gao
Wenbo Hu
Dongxiao Zhang
Yuntian Chen
AI4TS
AI4CE
46
2
0
05 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
62
6
0
03 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning
Visual Prompt Tuning for Generative Transfer Learning
Kihyuk Sohn
Yuan Hao
José Lezama
Luisa F. Polanía
Huiwen Chang
Han Zhang
Irfan Essa
Lu Jiang
VPVLM
VLM
64
81
0
03 Oct 2022
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Di Wu
Jie Yang
Mohamad Sawan
OOD
MedIm
40
20
0
03 Oct 2022
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided
  Asynchronous Bayesian Optimization
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization
Matthieu Dorier
Romain Egele
Prasanna Balaprakash
Jaehoon Koo
Sandeep Madireddy
Srinivasan Ramesh
A. Malony
R. Ross
29
10
0
03 Oct 2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Bruce X. B. Yu
Jianlong Chang
Lin Liu
Qi Tian
Changan Chen
VPVLM
VLM
68
34
0
03 Oct 2022
Transfer Learning for Individual Treatment Effect Estimation
Transfer Learning for Individual Treatment Effect Estimation
Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
CML
58
2
0
01 Oct 2022
Generalizability of Adversarial Robustness Under Distribution Shifts
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud
Hasan Hammoud
Motasem Alfarra
Guohao Li
OOD
65
9
0
29 Sep 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural
  Network Weights
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
67
39
0
29 Sep 2022
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks
Andrés Vasco-Carofilis
Laura Fernández-Robles
Enrique Alegre
Eduardo FIDALGO
47
2
0
28 Sep 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
81
27
0
28 Sep 2022
Habitat classification from satellite observations with sparse
  annotations
Habitat classification from satellite observations with sparse annotations
Mikko Impio
Pekka. Harma
A. Tammilehto
S. Anttila
Jenni Raitoharju
17
0
0
26 Sep 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
Hongwu Peng
Shangli Zhou
Yukui Luo
Shijin Duan
Nuo Xu
...
Tong Geng
Ang Li
Wujie Wen
Xiaolin Xu
Caiwen Ding
44
3
0
20 Sep 2022
Improving Fake News Detection of Influential Domain via Domain- and
  Instance-Level Transfer
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
Qiong Nan
Danding Wang
Yongchun Zhu
Qiang Sheng
Yuhui Shi
Juan Cao
Jintao Li
43
25
0
19 Sep 2022
Top-Tuning: a study on transfer learning for an efficient alternative to
  fine tuning for image classification with fast kernel methods
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods
P. D. Alfano
Vito Paolo Pastore
Lorenzo Rosasco
Francesca Odone
29
6
0
16 Sep 2022
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