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SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
v1v2 (latest)

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation

26 October 2023
Zhiqing Xiao
Haobo Wang
Ying Jin
Lei Feng
Gang Chen
Fei Huang
Junbo Zhao
ArXiv (abs)PDFHTMLGithub (16★)

Papers citing "SPA: A Graph Spectral Alignment Perspective for Domain Adaptation"

38 / 38 papers shown
Title
Stein Discrepancy for Unsupervised Domain Adaptation
Stein Discrepancy for Unsupervised Domain Adaptation
Anneke von Seeger
Dongmian Zou
Gilad Lerman
159
0
0
24 Feb 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen
Guo Ye
Yakun Wang
Zhao Zhang
Libang Zhang
Daxin Wang
Qing Cui
Fuzhen Zhuang
156
2
0
17 Jan 2025
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou
Théo Gnassounou
Antoine Collas
Antoine de Mathelin
Oleksii Kachaiev
Ambroise Odonnat
Alexandre Gramfort
Thomas Moreau
Rémi Flamary
202
0
0
16 Jul 2024
Subsidiary Prototype Alignment for Universal Domain Adaptation
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
76
23
0
28 Oct 2022
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous
  Learning
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning
Md. Mahmudur Rahman
Yikang Shen
Mohammad Arif Ul Alam
32
5
0
18 Oct 2022
Attention Regularized Laplace Graph for Domain Adaptation
Attention Regularized Laplace Graph for Domain Adaptation
Lingkun Luo
Limin Chen
Shiqiang Hu
AI4CE
61
7
0
15 Oct 2022
A Closer Look at Smoothness in Domain Adversarial Training
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
101
122
0
16 Jun 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
78
94
0
16 Jun 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
84
104
0
15 Jan 2022
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yemin Shi
Yizhou Yu
123
120
0
19 Apr 2021
MetaAlign: Coordinating Domain Alignment and Classification for
  Unsupervised Domain Adaptation
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Zhibo Chen
54
107
0
25 Mar 2021
Bi-Classifier Determinacy Maximization for Unsupervised Domain
  Adaptation
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
Shuang Li
Fangrui Lv
Binhui Xie
Chi Harold Liu
Jian Liang
Chen Qin
62
115
0
13 Dec 2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for
  Semi-supervised Domain Adaptation
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Taekyung Kim
Changick Kim
84
139
0
18 Jul 2020
Maximum Density Divergence for Domain Adaptation
Maximum Density Divergence for Domain Adaptation
Jingjing Li
Erpeng Chen
Ding Zhengming
Zhu Lei
Ke Lu
Jikang Cheng
OOD
68
284
0
27 Apr 2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Chi Su
Qingming Huang
Q. Tian
126
246
0
30 Mar 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization
  under Label Insufficient Situations
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
84
367
0
27 Mar 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
345
670
0
23 Mar 2020
Universal Domain Adaptation through Self Supervision
Universal Domain Adaptation through Self Supervision
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Kate Saenko
OODTTA
83
321
0
19 Feb 2020
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
186
4,471
0
07 Nov 2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain
  Adaptation
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
Seung-Min Lee
Dongwan Kim
Namil Kim
Seong-Gyun Jeong
TTAOOD
41
181
0
12 Oct 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
121
844
0
08 Aug 2019
Semi-supervised Domain Adaptation via Minimax Entropy
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
78
622
0
13 Apr 2019
Label Propagation for Deep Semi-supervised Learning
Label Propagation for Deep Semi-supervised Learning
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
102
624
0
09 Apr 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
266
3,550
0
06 Jun 2018
Network Enhancement: a general method to denoise weighted biological
  networks
Network Enhancement: a general method to denoise weighted biological networks
Bo Wang
Armin Pourshafeie
Marinka Zitnik
Junjie Zhu
C. Bustamante
S. Batzoglou
J. Leskovec
42
147
0
09 May 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
147
2,057
0
22 Jun 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
270
4,673
0
17 Feb 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
662
29,156
0
09 Sep 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,165
0
06 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
358
7,671
0
30 Jun 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 Dec 2015
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
GANOOD
390
9,515
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
223
5,211
0
10 Feb 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
149
5,591
0
07 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
230
4,884
0
21 Dec 2013
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,543
0
01 Nov 2007
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