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A Brief Review of Domain Adaptation

A Brief Review of Domain Adaptation

7 October 2020
Abolfazl Farahani
Sahar Voghoei
Khaled Rasheed
H. Arabnia
    OOD
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Papers citing "A Brief Review of Domain Adaptation"

50 / 54 papers shown
Title
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks
Christos Plachouras
Julien Guinot
George Fazekas
Elio Quinton
Emmanouil Benetos
Johan Pauwels
122
1
0
09 May 2025
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Jay Lee
Hanqi Su
Dai-Yan Ji
Takanobu Minami
AI4CE
48
0
0
03 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
129
1
0
10 Mar 2025
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains
Zixuan Liu
Aaron Honjaya
Yuekai Xu
Yi Zhang
Hefu Pan
Xin Wang
Linda Shapiro
Sheng Wang
Ruikang K Wang
OOD
45
0
0
08 Mar 2025
Generalizable Image Repair for Robust Visual Autonomous Racing
Carson Sobolewski
Zhenjiang Mao
Kshitij Vejre
Ivan Ruchkin
52
0
0
07 Mar 2025
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Yanhao Jia
Xinyi Wu
Hao Li
Qinglin Zhang
Yuxiao Hu
Shuai Zhao
Wenqi Fan
48
2
0
09 Feb 2025
GDO: Gradual Domain Osmosis
GDO: Gradual Domain Osmosis
Zixi Wang
Yubo Huang
151
0
0
31 Jan 2025
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application
Gonzalo Iñaki Quintana
Laurence Vancamberg
Vincent Jugnon
Agnès Desolneux
Mathilde Mougeot
MedIm
51
1
0
28 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
86
1
0
22 Jan 2025
Theoretically Guaranteed Distribution Adaptable Learning
Theoretically Guaranteed Distribution Adaptable Learning
Chao Xu
Xijia Tang
Guoqing Liu
Yuhua Qian
Chenping Hou
OOD
37
0
0
05 Nov 2024
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a
  near-stationary atmospheric boundary layer through generative artificial
  intelligence
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence
A. Rybchuk
Luis A. Martínez-Tossas
Stefano Letizia
N. Hamilton
Andy Scholbrock
Emina Maric
Daniel R. Houck
Thomas G. Herges
Nathaniel B. de Velder
P. Doubrawa
AI4CE
26
0
0
17 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis
Deep Transfer Learning: Model Framework and Error Analysis
Yuling Jiao
Huazhen Lin
Yuchen Luo
Jerry Zhijian Yang
44
1
0
12 Oct 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Zeyu Zhou
Tianci Liu
Ruqi Bai
Jing Gao
Murat Kocaoglu
David I. Inouye
49
2
0
03 Sep 2024
Diffusion based multi-domain neuroimaging harmonization method with
  preservation of anatomical details
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details
Haoyu Lan
Bino A. Varghese
Nasim Sheikh-Bahaei
Farshid Sepehrband
A. Toga
Jeiran Choupan
DiffM
MedIm
29
0
0
01 Sep 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Weiqin Chen
Sandipan Mishra
Santiago Paternain
OffRL
38
2
0
22 Aug 2024
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution
  Monocular Metric Depth Estimation
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
Zhenyu Li
Shariq Farooq Bhat
Peter Wonka
3DV
MDE
31
7
0
10 Jun 2024
Challenging Gradient Boosted Decision Trees with Tabular Transformers
  for Fraud Detection at Booking.com
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com
Sergei Krutikov
Bulat Khaertdinov
Rodion Kiriukhin
Shubham Agrawal
Kees Jan de Vries
LMTD
48
0
0
22 May 2024
Quantifying Distribution Shifts and Uncertainties for Enhanced Model
  Robustness in Machine Learning Applications
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications
Vegard Flovik
OOD
34
1
0
03 May 2024
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and
  Modalities
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities
Kunxi Li
Tianyu Zhan
Kairui Fu
Shengyu Zhang
Kun Kuang
Jiwei Li
Zhou Zhao
Fei Wu
MoMe
22
0
0
20 Apr 2024
Advancing Extrapolative Predictions of Material Properties through
  Learning to Learn
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Kohei Noda
Araki Wakiuchi
Yoshihiro Hayashi
Ryo Yoshida
AI4CE
38
0
0
25 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay
  for Smart Healthcare
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
35
0
0
13 Mar 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
44
2
0
20 Feb 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre
Elliot Creager
David Madras
Antonio Torralba
Katherine Heller
OOD
OODD
34
1
0
29 Dec 2023
SniffyArt: The Dataset of Smelling Persons
SniffyArt: The Dataset of Smelling Persons
Mathias Zinnen
Azhar Hussian
Hang Tran
Prathmesh Madhu
Andreas K. Maier
Vincent Christlein
24
9
0
20 Nov 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised
  Learning
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
Chuizheng Meng
Yihe Dong
Sercan Ö. Arik
Yan Liu
Tomas Pfister
CML
AI4TS
21
0
0
01 Nov 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
22
4
0
12 Oct 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning
  for Democratic and Inclusive Advancements
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Maryam Molamohammadi
Afaf Taik
Nicolas Le Roux
G. Farnadi
29
1
0
11 Jun 2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
Chia-Chien Hung
Lukas Lange
Jannik Strötgen
20
9
0
22 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through
  Unexploitable Data with Learnable Examples
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
Wanzhu Jiang
Yunfeng Diao
He-Nan Wang
Jianxin Sun
M. Wang
Richang Hong
37
18
0
16 May 2023
AGI for Agriculture
AGI for Agriculture
Guoyu Lu
Sheng R. Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
45
17
0
12 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts
Online Distillation with Continual Learning for Cyclic Domain Shifts
Joachim Houyon
A. Cioppa
Yasir Ghunaim
Motasem Alfarra
Anaïs Halin
Maxim Henry
Bernard Ghanem
Marc Van Droogenbroeck
CLL
27
8
0
03 Apr 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
32
13
0
15 Mar 2023
Context Normalization Layer with Applications
Context Normalization Layer with Applications
Bilal Faye
M. Dilmi
Hanene Azzag
M. Lebbah
D. Bouchaffra
21
0
0
14 Mar 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
24
2
0
03 Feb 2023
Model-based Transfer Learning for Automatic Optical Inspection based on
  domain discrepancy
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
Erik Isai Valle Salgado
Haoxin Yan
Yue Hong
Peiyuan Zhu
Shidong Zhu
...
Yanxiang Wen
Xiu Li
Xiaolin Qian
Xiaohao Wang
Xinghui Li
6
0
0
14 Jan 2023
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World
  Surveillance
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance
Sébastien Piérard
A. Cioppa
Anaïs Halin
Renaud Vandeghen
Maxime Zanella
Benoît Macq
Saïd Mahmoudi
Marc Van Droogenbroeck
30
6
0
18 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Synthetic-to-real Composite Semantic Segmentation in Additive
  Manufacturing
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing
Aliaksei L. Petsiuk
Harnoor Singh
Himanshu Dadhwal
Joshua M. Pearce
25
5
0
14 Oct 2022
Applied monocular reconstruction of parametric faces with domain
  engineering
Applied monocular reconstruction of parametric faces with domain engineering
Igor Borovikov
K. Levonyan
Jon Rein
Pawel Wrotek
Nitish Victor
CVBM
3DH
11
2
0
05 Aug 2022
Towards out of distribution generalization for problems in mechanics
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan
Harold S. Park
Emma Lejeune
OOD
AI4CE
33
16
0
29 Jun 2022
Measuring the Feasibility of Analogical Transfer using Complexity
Measuring the Feasibility of Analogical Transfer using Complexity
Pierre-Alexandre Murena
9
1
0
23 Jun 2022
Contrastive Centroid Supervision Alleviates Domain Shift in Medical
  Image Classification
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification
Wenshuo Zhou
Dalu Yang
Binghong Wu
Yehui Yang
Junde Wu
Xiaorong Wang
Lei Wang
Haifeng Huang
Yanwu Xu
OOD
41
1
0
31 May 2022
Billions of Parameters Are Worth More Than In-domain Training Data: A
  case study in the Legal Case Entailment Task
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task
G. Rosa
L. Bonifacio
Vitor Jeronymo
Hugo Queiroz Abonizio
R. Lotufo
Rodrigo Nogueira
AILaw
ELM
28
10
0
30 May 2022
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News
  Detection
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection
Abhijit Suprem
C. Pu
33
7
0
19 May 2022
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings
  for Complex Word Identification
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
George-Eduard Zaharia
Razvan-Alexandru Smadu
Dumitru-Clementin Cercel
M. Dascalu
24
3
0
15 May 2022
Exploiting Inductive Bias in Transformers for Unsupervised
  Disentanglement of Syntax and Semantics with VAEs
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs
G. Felhi
Joseph Le Roux
Djamé Seddah
DRL
26
2
0
12 May 2022
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and
  Argumentation Detection
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection
Jens Lemmens
Jens Van Nooten
Tim Kreutz
Walter Daelemans
14
6
0
14 Mar 2022
A Review of Deep Transfer Learning and Recent Advancements
A Review of Deep Transfer Learning and Recent Advancements
Mohammadreza Iman
Khaled Rasheed
H. Arabnia
18
353
0
19 Jan 2022
Cross-domain Trajectory Prediction with CTP-Net
Cross-domain Trajectory Prediction with CTP-Net
Pingxuan Huang
Zhenhua Cui
Jing Li
Shenghua Gao
bo Hu
Yanyan Fang
19
3
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22 Oct 2021
Machine Learning Featurizations for AI Hacking of Political Systems
Machine Learning Featurizations for AI Hacking of Political Systems
Nathan Sanders
B. Schneier
18
2
0
08 Oct 2021
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