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Moment Matching for Multi-Source Domain Adaptation
v1v2v3v4 (latest)

Moment Matching for Multi-Source Domain Adaptation

4 December 2018
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
    OOD
ArXiv (abs)PDFHTML

Papers citing "Moment Matching for Multi-Source Domain Adaptation"

50 / 1,211 papers shown
Learning Transferable Conceptual Prototypes for Interpretable
  Unsupervised Domain Adaptation
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2023
Junyu Gao
Xinhong Ma
Changsheng Xu
329
15
0
12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
Beier Zhu
Kaihua Tang
Qianru Sun
Hanwang Zhang
266
33
0
12 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of
  Parameters
Domain Generalization Guided by Gradient Signal to Noise Ratio of ParametersIEEE International Conference on Computer Vision (ICCV), 2023
Mateusz Michalkiewicz
M. Faraki
Xiang Yu
Manmohan Chandraker
Mahsa Baktash
288
7
0
11 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of
  Distribution Shifts
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li
Yifan Zhang
Lanqing Hong
Zhenguo Li
Nevin L. Zhang
OOD
280
0
0
10 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations
Domain Generalization by Rejecting Extreme AugmentationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Masih Aminbeidokhti
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Eric Granger
M. Pedersoli
ViT
217
8
0
10 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Yash Garg
Nebiyou Yismaw
Rakib Hyder
Ashley Prater-Bennette
M. Salman Asif
158
2
0
09 Oct 2023
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
Memory-Assisted Sub-Prototype Mining for Universal Domain AdaptationInternational Conference on Learning Representations (ICLR), 2023
Yu-Rui Lai
Yi Zhou
Xinghong Liu
Tao Zhou
356
6
0
09 Oct 2023
Subspace Identification for Multi-Source Domain Adaptation
Subspace Identification for Multi-Source Domain AdaptationNeural Information Processing Systems (NeurIPS), 2023
Zijian Li
Ruichu Cai
Guan-Hong Chen
Boyang Sun
Zijian Li
Kun Zhang
255
50
0
07 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Shuangliang Li
Longhui Yuan
Binhui Xie
Tao Yang
TTA
206
4
0
07 Oct 2023
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model
  Generalization Analysis
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization AnalysisInternational Conference on Learning Representations (ICLR), 2023
Chong You
Xingjian Leng
Zijian Wang
Yang Yang
Zi Huang
Liang Zheng
OOD
332
14
0
06 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data
  Heterogeneity in Federated Learning
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning
Peiran Xu
Zeyu Wang
Jieru Mei
Liangqiong Qu
Yaoyao Liu
Cihang Xie
Yuyin Zhou
FedML
154
3
0
06 Oct 2023
Zero-shot Learning of Drug Response Prediction for Preclinical Drug
  Screening
Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening
Kun Li
Yong Luo
Xiantao Cai
Wenbin Hu
Di Lin
207
2
0
05 Oct 2023
From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learning
From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learning
Ji Zhang
Xu Luo
Lianli Gao
Difan Zou
Hengtao Shen
Jingkuan Song
356
1
0
05 Oct 2023
Clustering-based Image-Text Graph Matching for Domain Generalization
Clustering-based Image-Text Graph Matching for Domain GeneralizationInternational Conference on Pattern Recognition (ICPR), 2023
Nokyung Park
Daewon Chae
Jeongyong Shim
Sangpil Kim
Eun-Sol Kim
Jinkyu Kim
OOD
215
1
0
04 Oct 2023
FedL2P: Federated Learning to Personalize
FedL2P: Federated Learning to PersonalizeNeural Information Processing Systems (NeurIPS), 2023
Royson Lee
Minyoung Kim
Da Li
Xinchi Qiu
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
FedML
155
0
0
03 Oct 2023
Learnable Data Augmentation for One-Shot Unsupervised Domain Adaptation
Learnable Data Augmentation for One-Shot Unsupervised Domain AdaptationBritish Machine Vision Conference (BMVC), 2023
Julio Ivan Davila Carrazco
Pietro Morerio
Alessio Del Bue
Vittorio Murino
268
2
0
03 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream TasksInternational Conference on Learning Representations (ICLR), 2023
Hao Chen
Yongfeng Zhang
Ankit Shah
Ran Tao
Jianguo Huang
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
295
40
0
29 Sep 2023
Rethinking Domain Generalization: Discriminability and Generalizability
Rethinking Domain Generalization: Discriminability and Generalizability
Shaocong Long
Qianyu Zhou
Chenhao Ying
Lizhuang Ma
Yuan Luo
OODAI4CE
354
25
0
28 Sep 2023
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain
  Adaptation
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Yizhe Xiong
Hui Chen
Zijia Lin
Sicheng Zhao
Guiguang Ding
329
10
0
27 Sep 2023
Transferability of Representations Learned using Supervised Contrastive
  Learning Trained on a Multi-Domain Dataset
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan
Clement Tan
C. Yeo
254
0
0
27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt AdaptationACM Multimedia (ACM MM), 2023
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
191
15
0
26 Sep 2023
Multi-Source Domain Adaptation for Object Detection with Prototype-based
  Mean-teacher
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Atif Belal
Akhil Meethal
Francisco Perdigon Romero
M. Pedersoli
Eric Granger
210
24
0
26 Sep 2023
Domain-Guided Conditional Diffusion Model for Unsupervised Domain
  Adaptation
Domain-Guided Conditional Diffusion Model for Unsupervised Domain AdaptationNeural Networks (Neural Netw.), 2023
Yulong Zhang
Shu Han Chen
Weisen Jiang
Yu Zhang
Jiangang Lu
James T. Kwok
DiffM
214
15
0
23 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set LearningIEEE International Conference on Computer Vision (ICCV), 2023
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
200
11
0
22 Sep 2023
Environment-biased Feature Ranking for Novelty Detection Robustness
Stefan Smeu
Elena Burceanu
Emanuela Haller
Andrei Liviu Nicolicioiu
OOD
293
0
0
21 Sep 2023
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Decoupled Training: Return of Frustratingly Easy Multi-Domain LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Ximei Wang
Junwei Pan
Xingzhuo Guo
Dapeng Liu
Jie Jiang
OOD
163
4
0
19 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
201
12
0
18 Sep 2023
Tightening Classification Boundaries in Open Set Domain Adaptation
  through Unknown Exploitation
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown ExploitationSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2023
Lucas Fernando Alvarenga e Silva
Andrii Zadaianchuk
Jurandy Almeida
178
4
0
16 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning
  and Minimax Entropy
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Jiaren Xiao
Quanyu Dai
X. Shen
Xiaochen Xie
Jing Dai
James Lam
Ka-Wai Kwok
193
10
0
14 Sep 2023
Strong-Weak Integrated Semi-supervision for Unsupervised Single and
  Multi Target Domain Adaptation
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation
Xiaohu Lu
H. Radha
209
0
0
12 Sep 2023
Exploring Flat Minima for Domain Generalization with Large Learning
  Rates
Exploring Flat Minima for Domain Generalization with Large Learning RatesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
203
7
0
12 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Jiao Zhang
Xu-Yao Zhang
Cheng-Lin Liu
OOD
205
0
0
12 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification
  Model for Domain Generalization
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain GeneralizationIEEE Transactions on Image Processing (IEEE TIP), 2023
Xi Yu
Huan-Hsin Tseng
Shinjae Yoo
Haibin Ling
Lu Ma
OOD
319
23
0
08 Sep 2023
Weighted Unsupervised Domain Adaptation Considering Geometry Features
  and Engineering Performance of 3D Design Data
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design DataExpert systems with applications (ESWA), 2023
S. Shin
Namwoo Kang
OODAI4CE
229
2
0
08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain SetupsBritish Machine Vision Conference (BMVC), 2023
Neha Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
Soheil Feizi
212
0
0
07 Sep 2023
Building a Winning Team: Selecting Source Model Ensembles using a
  Submodular Transferability Estimation Approach
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation ApproachIEEE International Conference on Computer Vision (ICCV), 2023
KB Vimal
Saketh Bachu
Tanmay Garg
Niveditha Lakshmi Narasimhan
Raghavan Konuru
Vineeth N. Balasubramanian
214
2
0
05 Sep 2023
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time
  Adaptation
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Manogna Sreenivas
Goirik Chakrabarty
Soma Biswas
TTA
284
3
0
02 Sep 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood ClusteringIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
241
21
0
01 Sep 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID
  Features
FedCiR: Client-Invariant Representation Learning for Federated Non-IID FeaturesIEEE Transactions on Mobile Computing (IEEE TMC), 2023
Zijian Li
Zehong Lin
Jiawei Shao
Yuyi Mao
Jun Zhang
OOD
228
19
0
30 Aug 2023
Efficient Model Personalization in Federated Learning via
  Client-Specific Prompt Generation
Efficient Model Personalization in Federated Learning via Client-Specific Prompt GenerationIEEE International Conference on Computer Vision (ICCV), 2023
Fu-En Yang
Chien-Yi Wang
Yu-Chiang Frank Wang
VLMFedML
271
102
0
29 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent
  Degradation and Restoration
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and RestorationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
372
5
0
28 Aug 2023
Domain-Specificity Inducing Transformers for Source-Free Domain
  Adaptation
Domain-Specificity Inducing Transformers for Source-Free Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Sunandini Sanyal
Ashish Ramayee Asokan
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Jogendra Nath Kundu
R. Venkatesh Babu
ViT
179
21
0
27 Aug 2023
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using
  Stable Diffusion
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionComputer Vision and Pattern Recognition (CVPR), 2023
Junjiao Tian
Lavisha Aggarwal
Andrea Colaco
Z. Kira
Mar González-Franco
DiffM
389
128
0
23 Aug 2023
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category DiscoveryEuropean Conference on Computer Vision (ECCV), 2023
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLMCLL
375
6
0
23 Aug 2023
Understanding Hessian Alignment for Domain Generalization
Understanding Hessian Alignment for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
S. Hemati
Guojun Zhang
A. Estiri
Xi Chen
151
18
0
22 Aug 2023
Domain Generalization via Rationale Invariance
Domain Generalization via Rationale InvarianceIEEE International Conference on Computer Vision (ICCV), 2023
Liang Chen
Yong Zhang
Yibing Song
Anton Van Den Hengel
Lingqiao Liu
OOD
231
25
0
22 Aug 2023
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal
  Heterogeneous Federated Learning
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Haokun Chen
Yao Zhang
Denis Krompass
Jindong Gu
Volker Tresp
FedML
213
85
0
21 Aug 2023
centroIDA: Cross-Domain Class Discrepancy Minimization Based on
  Accumulative Class-Centroids for Imbalanced Domain Adaptation
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation
Xiaona Sun
Zhenyu Wu
Yichen Liu
Saier Hu
Zhiqiang Zhan
Yang Ji
234
1
0
21 Aug 2023
COCA: Classifier-Oriented Calibration via Textual Prototype for
  Source-Free Universal Domain Adaptation
COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain AdaptationAsian Conference on Computer Vision (ACCV), 2023
Xinghong Liu
Yi Zhou
Tao Zhou
Chun-Mei Feng
Ling Shao
VLM
201
3
0
21 Aug 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
DomainAdaptor: A Novel Approach to Test-time AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OODTTA
176
25
0
20 Aug 2023
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