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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"

17 / 117 papers shown
Title
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Huali Xu
Shuaifeng Zhi
Li Liu
35
4
0
17 Aug 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
16
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
17
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
33
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
35
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
27
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
19
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
20
354
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
21
3
0
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
20
2
0
08 Oct 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
30
0
0
19 Sep 2021
DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN,
  Transfer Learning, and LSTM
DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM
Farzan Shenavarmasouleh
F. Mohammadi
M. Amini
T. Taha
Khaled Rasheed
H. Arabnia
MedIm
9
10
0
18 Aug 2021
Predicting sepsis in multi-site, multi-national intensive care cohorts
  using deep learning
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
Michael Moor
Nicolas Bennet
Drago Plečko
Max Horn
Bastian Alexander Rieck
N. Meinshausen
Peter Buhlmann
Karsten M. Borgwardt
21
6
0
12 Jul 2021
Distributed Machine Learning for Wireless Communication Networks:
  Techniques, Architectures, and Applications
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu
Xiaojing Chen
Wei Ni
E. Hossain
Xin Wang
AI4CE
45
111
0
02 Dec 2020
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