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Unsupervised Domain Adaptation Based on Source-guided Discrepancy
v1v2v3 (latest)

Unsupervised Domain Adaptation Based on Source-guided Discrepancy

11 September 2018
Seiichi Kuroki
Nontawat Charoenphakdee
Han Bao
Junya Honda
Issei Sato
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Domain Adaptation Based on Source-guided Discrepancy"

30 / 30 papers shown
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
Cheng Wang
Siqi Chen
Donghua Mi
Yang Chen
Y. Zhang
Yinsheng Li
297
0
0
12 Jun 2025
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
490
1
0
13 Jun 2024
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition
Xiao-Yin Liu
Guo-Tao Li
Xiao-Hu Zhou
Xu Liang
Zeng-Guang Hou
407
14
0
19 Apr 2024
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney
Daksh Dave
Adeel Ahmed
Jiechao Gao
Khalid Saleem
331
0
0
21 Nov 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View CodingNeural Networks (NN), 2021
Jiangmeng Li
Hang Gao
Jingyao Wang
Changwen Zheng
325
4
0
21 Aug 2023
Taxonomy-Structured Domain Adaptation
Taxonomy-Structured Domain AdaptationInternational Conference on Machine Learning (ICML), 2023
Tianyi Liu
Zihao Xu
Hao He
Guang-Yuan Hao
Guang-He Lee
Hao Wang
TTAOOD
370
10
0
13 Jun 2023
Practicality of generalization guarantees for unsupervised domain
  adaptation with neural networks
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Adam Breitholtz
Fredrik D. Johansson
OOD
236
1
0
15 Mar 2023
On the Hardness of Robustness Transfer: A Perspective from Rademacher
  Complexity over Symmetric Difference Hypothesis Space
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space
Yuyang Deng
Nidham Gazagnadou
Junyuan Hong
M. Mahdavi
Lingjuan Lyu
AAML
273
5
0
23 Feb 2023
LEATHER: A Framework for Learning to Generate Human-like Text in
  Dialogue
LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue
Anthony Sicilia
Malihe Alikhani
304
6
0
14 Oct 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners
PAC-Bayesian Domain Adaptation Bounds for Multiclass LearnersConference on Uncertainty in Artificial Intelligence (UAI), 2022
Anthony Sicilia
Katherine Atwell
Malihe Alikhani
Seong Jae Hwang
BDL
275
14
0
12 Jul 2022
The Change that Matters in Discourse Parsing: Estimating the Impact of
  Domain Shift on Parser Error
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser ErrorFindings (Findings), 2022
Katherine Atwell
Anthony Sicilia
Seong Jae Hwang
Malihe Alikhani
130
17
0
21 Mar 2022
Robust Local Preserving and Global Aligning Network for Adversarial
  Domain Adaptation
Robust Local Preserving and Global Aligning Network for Adversarial Domain AdaptationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Jingyao Wang
Jiangmeng Li
C. Zheng
Fuchun Sun
Hui Xiong
212
30
0
08 Mar 2022
Graph-Relational Domain Adaptation
Graph-Relational Domain AdaptationInternational Conference on Learning Representations (ICLR), 2022
Zihao Xu
Hao He
Guang-He Lee
Yuyang Wang
Hao Wang
OOD
376
31
0
08 Feb 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Fei Ye
A. Bors
CLL
263
13
0
15 Dec 2021
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Tongkun Xu
Weihua Chen
Pichao Wang
Fan Wang
Hao Li
Rong Jin
ViT
782
289
0
13 Sep 2021
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to
  Multi-label Aerial Images
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
Tianze Yu
Ieee Jianzhe Lin Student Member
Ieee Lichao Mou Student Member
Yuansheng Hua
Senior Member Ieee Xiaoxiang Zhu
F. I. Z. Jane Wang
202
9
0
15 Aug 2021
Domain Adversarial Neural Networks for Domain Generalization: When It
  Works and How to Improve
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to ImproveMachine-mediated learning (ML), 2021
Anthony Sicilia
Xingchen Zhao
Seong Jae Hwang
OODAI4CE
241
114
0
07 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning
A Symmetric Loss Perspective of Reliable Machine Learning
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
320
0
0
05 Jan 2021
Class-Incremental Domain Adaptation
Class-Incremental Domain Adaptation
Jogendra Nath Kundu
R. Venkatesh
Naveen Venkat
Ambareesh Revanur
R. Venkatesh Babu
CLL
248
58
0
04 Aug 2020
Continuously Indexed Domain Adaptation
Continuously Indexed Domain Adaptation
Hao Wang
Hao He
Dina Katabi
MedIm
324
128
0
03 Jul 2020
Adversarial Weighting for Domain Adaptation in Regression
Adversarial Weighting for Domain Adaptation in Regression
Antoine de Mathelin
Guillaume Richard
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
443
50
0
15 Jun 2020
Pairwise Supervision Can Provably Elicit a Decision Boundary
Pairwise Supervision Can Provably Elicit a Decision BoundaryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Han Bao
Takuya Shimada
Liyuan Xu
Issei Sato
Masashi Sugiyama
236
11
0
11 Jun 2020
Calibrated Surrogate Losses for Adversarially Robust Classification
Calibrated Surrogate Losses for Adversarially Robust ClassificationAnnual Conference Computational Learning Theory (COLT), 2020
Han Bao
Clayton Scott
Masashi Sugiyama
280
47
0
28 May 2020
A survey on domain adaptation theory: learning bounds and theoretical
  guarantees
A survey on domain adaptation theory: learning bounds and theoretical guarantees
I. Redko
Emilie Morvant
Amaury Habrard
M. Sebban
Younès Bennani
OOD
653
155
0
24 Apr 2020
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and
  Practice
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and PracticeIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yabin Zhang
Bin Deng
Hui Tang
Lei Zhang
Kui Jia
AI4CE
211
85
0
20 Feb 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer
Few-shot Domain Adaptation by Causal Mechanism TransferInternational Conference on Machine Learning (ICML), 2020
Takeshi Teshima
Issei Sato
Masashi Sugiyama
OODCMLTTA
321
100
0
10 Feb 2020
Multi-Source Domain Adaptation for Text Classification via
  DistanceNet-Bandits
Multi-Source Domain Adaptation for Text Classification via DistanceNet-BanditsAAAI Conference on Artificial Intelligence (AAAI), 2020
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
315
120
0
13 Jan 2020
Towards Resolving Propensity Contradiction in Offline Recommender
  Learning
Towards Resolving Propensity Contradiction in Offline Recommender LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Yuta Saito
Masahiro Nomura
OffRL
408
16
0
16 Oct 2019
Bridging Theory and Algorithm for Domain Adaptation
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Sai Li
465
811
0
11 Apr 2019
Domain Discrepancy Measure for Complex Models in Unsupervised Domain
  Adaptation
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation
Jongyeong Lee
Nontawat Charoenphakdee
Seiichi Kuroki
Masashi Sugiyama
237
11
0
30 Jan 2019
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