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DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning
  Inverse Gram Matrices

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

23 March 2023
Ismail Nejjar
Qin Wang
Olga Fink
ArXivPDFHTML

Papers citing "DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices"

10 / 10 papers shown
Title
A Physics-preserved Transfer Learning Method for Differential Equations
A Physics-preserved Transfer Learning Method for Differential Equations
Hao-Ran Yang
Chuan-Xian Ren
44
0
0
02 May 2025
Gramian Multimodal Representation Learning and Alignment
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti
Eleonora Grassucci
Luigi Sigillo
Danilo Comminiello
74
0
0
16 Dec 2024
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Peihua Deng
Jiehua Zhang
Xichun Sheng
C. Yan
Yaoqi Sun
Ying Fu
Liang-Sheng Li
CLL
74
1
0
25 Nov 2024
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shinýa Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
33
0
0
04 Oct 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen
Junjie Meng
Mahsa Baktashmotlagh
Yonggang Zhang
Zi Huang
Yadan Luo
62
0
0
21 Jun 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
12
1
0
29 Dec 2023
Estimating Image Depth in the Comics Domain
Estimating Image Depth in the Comics Domain
Deblina Bhattacharjee
Martin Nicolas Everaert
Mathieu Salzmann
Sabine Süsstrunk
MDE
18
8
0
07 Oct 2021
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in
  Unsupervised Domain Adaptation
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation
Youshan Zhang
Brian D. Davison
VLM
32
6
0
27 Apr 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
177
786
0
19 Feb 2009
1