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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 / 1,212 papers shown
Energy-Based Test Sample Adaptation for Domain Generalization
Energy-Based Test Sample Adaptation for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Zehao Xiao
Xiantong Zhen
Tianran Ouyang
Cees G. M. Snoek
TTA
238
22
0
22 Feb 2023
Generalization in Visual Reinforcement Learning with the Reward Sequence
  Distribution
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution
Jie Wang
Rui Yang
Zijie Geng
Zhihao Shi
Mingxuan Ye
Qi Zhou
Shuiwang Ji
Bin Li
Yongdong Zhang
Feng Wu
202
6
0
19 Feb 2023
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based
  Domain Generalization
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Shirsha Bose
Ankit Jha
Enrico Fini
Mainak Singha
Elisa Ricci
Biplab Banerjee
VLM
298
46
0
18 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
323
27
0
14 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of ResearchFoundations and Trends in Computer Graphics and Vision (FTCGV), 2023
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
272
76
0
13 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Tianpeng Liu
CLL
219
8
0
12 Feb 2023
How to prepare your task head for finetuning
How to prepare your task head for finetuningInternational Conference on Learning Representations (ICLR), 2023
Yi Ren
Shangmin Guo
Wonho Bae
Danica J. Sutherland
135
19
0
11 Feb 2023
Cross-Modal Fine-Tuning: Align then Refine
Cross-Modal Fine-Tuning: Align then RefineInternational Conference on Machine Learning (ICML), 2023
Junhong Shen
Liam Li
Lucio Dery
Corey Staten
M. Khodak
Graham Neubig
Ameet Talwalkar
245
58
0
11 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised
  Domain Adaptation
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
264
2
0
10 Feb 2023
Principled Federated Domain Adaptation: Gradient Projection and
  Auto-Weighting
Principled Federated Domain Adaptation: Gradient Projection and Auto-WeightingInternational Conference on Learning Representations (ICLR), 2023
Enyi Jiang
Yibo Jacky Zhang
Oluwasanmi Koyejo
FedML
265
10
0
10 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label ShiftInternational Conference on Machine Learning (ICML), 2023
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
380
44
0
06 Feb 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain
  Adaptation
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain AdaptationInternational Conference on Learning Representations (ICLR), 2023
Zihao Xu
Guang-Yuan Hao
Hao He
Hao Wang
688
23
0
06 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in
  Domain Generalization
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Daoan Zhang
Mingkai Chen
Chenming Li
Lingyun Huang
Jianguo Zhang
OOD
321
12
0
05 Feb 2023
Semi-Supervised Domain Adaptation with Source Label Adaptation
Semi-Supervised Domain Adaptation with Source Label AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Yuhai Yu
Hsuan-Tien Lin
330
49
0
05 Feb 2023
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised
  Domain Adaptation
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain AdaptationIEEE International Joint Conference on Neural Network (IJCNN), 2023
Yumin Zhang
Yajun Gao
Hongliu Li
Ating Yin
Duzhen Zhang
Xiuyi Chen
178
0
0
03 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
Class Overwhelms: Mutual Conditional Blended-Target Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2023
P. Xu
Boyu Wang
Charles Ling
287
12
0
03 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained
  Models
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
Byunggyu Lew
Donghyun Son
Buru Chang
203
12
0
03 Feb 2023
Open-Set Multi-Source Multi-Target Domain Adaptation
Open-Set Multi-Source Multi-Target Domain Adaptation
Rohit Lal
Arihant Gaur
Aadhithya Iyer
Muhammed Abdullah Shaikh
Ritik Agrawal
228
1
0
02 Feb 2023
Domain Generalization Emerges from Dreaming
Domain Generalization Emerges from Dreaming
Hwan Heo
Youngjin Oh
Jaewon Lee
Hyunwoo J. Kim
191
2
0
02 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
CLIPood: Generalizing CLIP to Out-of-DistributionsInternational Conference on Machine Learning (ICML), 2023
Yang Shu
Xingzhuo Guo
Jialong Wu
Ximei Wang
Jianmin Wang
Mingsheng Long
OODDVLM
379
109
0
02 Feb 2023
Domain-Generalizable Multiple-Domain Clustering
Domain-Generalizable Multiple-Domain Clustering
Amit Rozner
Barak Battash
Lior Wolf
Ofir Lindenbaum
SSLOOD
198
11
0
31 Jan 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy LabelsInternational Conference on Learning Representations (ICLR), 2023
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles Ling
A. McLeod
Boyu Wang
312
57
0
31 Jan 2023
FedFA: Federated Feature Augmentation
FedFA: Federated Feature AugmentationInternational Conference on Learning Representations (ICLR), 2023
Tianfei Zhou
E. Konukoglu
OODFedML
265
44
0
30 Jan 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature
Reliable Federated Disentangling Network for Non-IID Domain FeatureIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Ming Wang
Kai-An Yu
Chun-Mei Feng
Yiming Qian
K. Zou
Lianyu Wang
Rick Siow Mong Goh
Yong-Jin Liu
Huazhu Fu
OOD
281
1
0
30 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task LearningNeural Information Processing Systems (NeurIPS), 2023
Junguang Jiang
Baixu Chen
Junwei Pan
Ximei Wang
Liu Dapeng
Jie Jiang
Mingsheng Long
MoMe
230
38
0
30 Jan 2023
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization
Debiased Fine-Tuning for Vision-language Models by Prompt RegularizationAAAI Conference on Artificial Intelligence (AAAI), 2023
B. Zhu
Yulei Niu
Saeil Lee
Minhoe Hur
Hanwang Zhang
VLMVPVLM
373
32
0
29 Jan 2023
ManyDG: Many-domain Generalization for Healthcare Applications
ManyDG: Many-domain Generalization for Healthcare ApplicationsInternational Conference on Learning Representations (ICLR), 2023
Chaoqi Yang
M. P. M. Brandon Westover
Jimeng Sun
OODCML
230
30
0
21 Jan 2023
Why Batch Normalization Damage Federated Learning on Non-IID Data?
Why Batch Normalization Damage Federated Learning on Non-IID Data?IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yanmeng Wang
Qingjiang Shi
Tsung-Hui Chang
FedML
328
53
0
08 Jan 2023
High-level semantic feature matters few-shot unsupervised domain
  adaptation
High-level semantic feature matters few-shot unsupervised domain adaptationAAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Yu
Wanqi Yang
Sheng Huang
Lei Wang
Ming Yang
187
6
0
05 Jan 2023
Discriminative Radial Domain Adaptation
Discriminative Radial Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2023
Zenan Huang
Jun Wen
Siheng Chen
Linchao Zhu
Nenggan Zheng
OOD
331
18
0
01 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A SurveyNeural Networks (NN), 2022
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
512
146
0
31 Dec 2022
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using
  Text-to-Image Generators
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image GeneratorsInternational Conference on Machine Learning (ICML), 2022
Jianhao Yuan
Francesco Pinto
Adam Davies
Juil Sock
DiffM
348
17
0
21 Dec 2022
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution GeneralizationInternational Conference on Machine Learning (ICML), 2022
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMeOODD
514
102
0
20 Dec 2022
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain
  Adaptation
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain AdaptationBritish Machine Vision Conference (BMVC), 2022
Hao Yan
Yuhong Guo
164
4
0
15 Dec 2022
Rethinking the Role of Pre-Trained Networks in Source-Free Domain
  Adaptation
Rethinking the Role of Pre-Trained Networks in Source-Free Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2022
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
TTAAI4CE
238
22
0
15 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models
Learning Domain Invariant Prompt for Vision-Language ModelsIEEE Transactions on Image Processing (IEEE TIP), 2022
Cairong Zhao
Yubin Wang
Xinyang Jiang
Yifei Shen
Kaitao Song
Dongsheng Li
Duoqian Miao
VLMVPVLM
338
49
0
08 Dec 2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain
  Adaptation
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
I. Diamant
Roy H. Jennings
Oranit Dror
H. Habi
Arnon Netzer
193
2
0
07 Dec 2022
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality
  Microscopy
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy
Gihun Lee
Sangmook Kim
Joonkee Kim
Se-Young Yun
MedIm
167
26
0
07 Dec 2022
Union-set Multi-source Model Adaptation for Semantic Segmentation
Union-set Multi-source Model Adaptation for Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Zongyao Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
174
5
0
06 Dec 2022
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain
  Adaptation
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2022
Xin Li
Cuiling Lan
Guoqiang Wei
Zhibo Chen
208
6
0
06 Dec 2022
Stable Learning via Sparse Variable Independence
Stable Learning via Sparse Variable IndependenceAAAI Conference on Artificial Intelligence (AAAI), 2022
Han Yu
Peng Cui
Yue He
Zheyan Shen
Yong Lin
Renzhe Xu
Xingxuan Zhang
OOD
178
21
0
02 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning
Rethinking Two Consensuses of the Transferability in Deep Learning
Yixiong Chen
Jingxia Li
C. Ding
Tianpeng Liu
208
2
0
01 Dec 2022
Finding Differences Between Transformers and ConvNets Using
  Counterfactual Simulation Testing
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation TestingNeural Information Processing Systems (NeurIPS), 2022
Nataniel Ruiz
Sarah Adel Bargal
Cihang Xie
Kate Saenko
Stan Sclaroff
ViT
165
7
0
29 Nov 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-TuningInternational Journal of Computer Vision (IJCV), 2022
Xiaofeng Mao
YueFeng Chen
Yang Liu
Rong Zhang
Hui Xue
Zhao Li
VLMCLIP
182
38
0
29 Nov 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning
  without Interference
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2022
Yabin Wang
Zhiheng Ma
Zhiwu Huang
Yaowei Wang
Zhou Su
Xiaopeng Hong
200
61
0
29 Nov 2022
Direct-Effect Risk Minimization for Domain Generalization
Direct-Effect Risk Minimization for Domain Generalization
Yuhui Li
Zejia Wu
Chao Zhang
Hongyang R. Zhang
OOD
327
0
0
26 Nov 2022
Instance-level Heterogeneous Domain Adaptation for Limited-labeled
  Sketch-to-Photo Retrieval
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo RetrievalIEEE transactions on multimedia (TMM), 2020
Fan Yang
Yang Wu
Zheng Wang
Wenting Chen
S. Sakti
Satoshi Nakamura
VLM
220
31
0
26 Nov 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeNeural Information Processing Systems (NeurIPS), 2022
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
294
103
0
25 Nov 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLLVPVLMVLM
340
447
0
23 Nov 2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Robust Mean Teacher for Continual and Gradual Test-Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Mario Döbler
Robert A. Marsden
Bin Yang
OODTTA
281
118
0
23 Nov 2022
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