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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
A Simple Data Augmentation for Feature Distribution Skewed Federated
  Learning
A Simple Data Augmentation for Feature Distribution Skewed Federated LearningComputer Vision and Pattern Recognition (CVPR), 2023
Yu-Hu Yan
Lei Zhu
FedMLOOD
235
15
0
14 Jun 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
319
10
0
13 Jun 2023
Partial Identifiability for Domain Adaptation
Partial Identifiability for Domain Adaptation
Lingjing Kong
Shaoan Xie
Weiran Yao
Yujia Zheng
Guan-Hong Chen
P. Stojanov
Victor Akinwande
Kun Zhang
273
14
0
10 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
FedWon: Triumphing Multi-domain Federated Learning Without NormalizationInternational Conference on Learning Representations (ICLR), 2023
Weiming Zhuang
Lingjuan Lyu
224
12
0
09 Jun 2023
Regularizing with Pseudo-Negatives for Continual Self-Supervised
  Learning
Regularizing with Pseudo-Negatives for Continual Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2023
Sungmin Cha
Kyunghyun Cho
Taesup Moon
BDLCLL
386
5
0
08 Jun 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain
  Generalization
Test-Time Style Shifting: Handling Arbitrary Styles in Domain GeneralizationInternational Conference on Machine Learning (ICML), 2023
Jun-Gyu Park
Dong-Jun Han
Soyeong Kim
Jaekyun Moon
OODTTA
265
15
0
08 Jun 2023
Soft Merging of Experts with Adaptive Routing
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth
Haokun Liu
Colin Raffel
MoMeMoE
287
80
0
06 Jun 2023
On Pitfalls of Test-Time Adaptation
On Pitfalls of Test-Time AdaptationInternational Conference on Machine Learning (ICML), 2023
Hao Zhao
Yuejiang Liu
Alexandre Alahi
Tao Lin
TTA
207
61
0
06 Jun 2023
Continual Learning with Pretrained Backbones by Tuning in the Input
  Space
Continual Learning with Pretrained Backbones by Tuning in the Input SpaceIEEE International Joint Conference on Neural Network (IJCNN), 2023
Simone Marullo
Matteo Tiezzi
Marco Gori
S. Melacci
Tinne Tuytelaars
CLL
246
2
0
05 Jun 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain
  Generalization
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain GeneralizationInternational Conference on Machine Learning (ICML), 2023
Yimeng Chen
Tianyang Hu
Fengwei Zhou
Zhenguo Li
Zhiming Ma
157
13
0
05 Jun 2023
Domain Generalization for Domain-Linked Classes
Domain Generalization for Domain-Linked Classes
Kimathi Kaai
Saad Hossain
Sirisha Rambhatla
OODAI4CE
146
1
0
01 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity
  Weighting, and Prior Correction
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior CorrectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Robert A. Marsden
Mario Döbler
Bin Yang
TTA
317
61
0
01 Jun 2023
FACT: Federated Adversarial Cross Training
FACT: Federated Adversarial Cross Training
Stefan Schrod
Jonas Lippl
Andreas Schäfer
Michael Altenbuchinger
FedMLHILM
252
4
0
01 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement
  Discrepancy
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement DiscrepancyNeural Information Processing Systems (NeurIPS), 2023
Elan Rosenfeld
Saurabh Garg
UQCV
190
12
0
01 Jun 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced
  Training Data Using Domain Adaptation and Data Augmentation
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data AugmentationInternational Conference on Industrial Technology (ICIT), 2023
A. Li
Elisa Bertino
Rih-Teng Wu
Ting Wu
170
6
0
31 May 2023
LANCE: Stress-testing Visual Models by Generating Language-guided
  Counterfactual Images
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual ImagesNeural Information Processing Systems (NeurIPS), 2023
Viraj Prabhu
Sriram Yenamandra
Prithvijit Chattopadhyay
Judy Hoffman
266
51
0
30 May 2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?International Conference on Learning Representations (ICLR), 2023
Jianfei Yang
Hanjie Qian
Yuecong Xu
Kai Wang
Lihua Xie
306
14
0
30 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized
  Federated Learning
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
Jiahao Tan
Yipeng Zhou
Gang Liu
Jessie Hui Wang
Shui Yu
FedML
166
26
0
25 May 2023
Meta Adaptive Task Sampling for Few-Domain Generalization
Meta Adaptive Task Sampling for Few-Domain Generalization
Zheyan Shen
Han Yu
Peng Cui
Tianyu Wang
Xingxuan Zhang
Linjun Zhou
Furui Liu
OOD
115
1
0
25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization
Rethinking the Evaluation Protocol of Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Han Yu
Xingxuan Zhang
Renzhe Xu
Tianyu Wang
Yue He
Peng Cui
OOD
332
18
0
24 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision
Non-adversarial Robustness of Deep Learning Methods for Computer Vision
Gorana Gojić
V. Vincan
O. Kundacina
D. Mišković
Dinu Dragan
OOD
159
7
0
24 May 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation
Target-Aware Generative Augmentations for Single-Shot AdaptationInternational Conference on Machine Learning (ICML), 2023
Kowshik Thopalli
Rakshith Subramanyam
Pavan Turaga
Jayaraman J. Thiagarajan
TTA
172
8
0
22 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations
POEM: Polarization of Embeddings for Domain-Invariant RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2023
Sang-Yeong Jo
Sung Whan Yoon
166
18
0
22 May 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised
  Pre-training
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-trainingNeural Information Processing Systems (NeurIPS), 2023
Jieyu Zhang
Bohan Wang
Zhengyu Hu
Pang Wei Koh
Alexander Ratner
205
11
0
20 May 2023
Quantifying the robustness of deep multispectral segmentation models
  against natural perturbations and data poisoning
Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning
Elise Bishoff
Charles Godfrey
Myles Mckay
E. Byler
AAML
149
1
0
18 May 2023
Universal Domain Adaptation from Foundation Models: A Baseline Study
Universal Domain Adaptation from Foundation Models: A Baseline Study
Bin Deng
Kui Jia
VLM
319
12
0
18 May 2023
CLIP-GCD: Simple Language Guided Generalized Category Discovery
CLIP-GCD: Simple Language Guided Generalized Category Discovery
Rabah Ouldnoughi
Chia-Wen Kuo
Z. Kira
VLM
192
24
0
17 May 2023
A Critical View of Vision-Based Long-Term Dynamics Prediction Under
  Environment Misalignment
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment MisalignmentInternational Conference on Machine Learning (ICML), 2023
Hanchen Xie
Jiageng Zhu
Mahyar Khayatkhoei
Jiazhi Li
Mohamed E. Hussein
Wael AbdAlmgaeed
202
3
0
12 May 2023
Best-Effort Adaptation
Best-Effort AdaptationAnnals of Mathematics and Artificial Intelligence (AMAI), 2023
Pranjal Awasthi
Corinna Cortes
M. Mohri
198
12
0
10 May 2023
Target-driven One-Shot Unsupervised Domain Adaptation
Target-driven One-Shot Unsupervised Domain AdaptationInternational Conference on Image Analysis and Processing (ICIAP), 2023
Julio Ivan Davila Carrazco
Suvarna Kadam
Pietro Morerio
Alessio Del Bue
Vittorio Murino
176
3
0
08 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks
Generalized Universal Domain Adaptation with Generative Flow NetworksACM Multimedia (ACM MM), 2023
Didi Zhu
Yinchuan Li
Yunfeng Shao
Jianye Hao
Leilei Gan
Kun Kuang
Jun Xiao
Chao Wu
AI4CEOOD
254
24
0
08 May 2023
Model-Contrastive Federated Domain Adaptation
Model-Contrastive Federated Domain Adaptation
Chang’an Yi
Haotian Chen
Yonghui Xu
Yifan Zhang
MedImFedML
229
0
0
07 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained
  Diffusion Model
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion ModelAAAI Conference on Artificial Intelligence (AAAI), 2023
Min Yang
Shangchao Su
Bin Li
Xiangyang Xue
DiffM
389
49
0
06 May 2023
Reduction of Class Activation Uncertainty with Background Information
Reduction of Class Activation Uncertainty with Background InformationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
H. M. D. Kabir
365
12
0
05 May 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level
  Learning
Semi-supervised Domain Adaptation via Prototype-based Multi-level LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Xinyang Huang
Chuanglu Zhu
Wenkai Chen
472
17
0
04 May 2023
PGrad: Learning Principal Gradients For Domain Generalization
PGrad: Learning Principal Gradients For Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Zhe Wang
J. E. Grigsby
Yanjun Qi
OOD
202
18
0
02 May 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained
  models
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained modelsInternational Conference on Machine Learning (ICML), 2023
Korawat Tanwisuth
Shujian Zhang
Huangjie Zheng
Pengcheng He
Mingyuan Zhou
VLMVPVLM
319
38
0
29 Apr 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain GeneralizationInternational Conference on Machine Learning (ICML), 2023
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
245
24
0
27 Apr 2023
SAFE: Machine Unlearning With Shard Graphs
SAFE: Machine Unlearning With Shard GraphsIEEE International Conference on Computer Vision (ICCV), 2023
Yonatan Dukler
Benjamin Bowman
Alessandro Achille
Aditya Golatkar
A. Swaminathan
Stefano Soatto
MU
274
29
0
25 Apr 2023
MMRDN: Consistent Representation for Multi-View Manipulation
  Relationship Detection in Object-Stacked Scenes
MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked ScenesIEEE International Conference on Robotics and Automation (ICRA), 2023
Han Wang
Jiayuan Zhang
Lipeng Wan
Xingyu Chen
Xuguang Lan
Nanning Zheng
121
1
0
25 Apr 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationInternational Conference on Machine Learning (ICML), 2023
Yi-Fan Zhang
Qingsong Wen
Kexin Jin
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTAOOD
307
70
0
25 Apr 2023
Distilling from Similar Tasks for Transfer Learning on a Budget
Distilling from Similar Tasks for Transfer Learning on a BudgetIEEE International Conference on Computer Vision (ICCV), 2023
Kenneth Borup
Cheng Perng Phoo
Bharath Hariharan
197
3
0
24 Apr 2023
Moving Forward by Moving Backward: Embedding Action Impact over Action
  Semantics
Moving Forward by Moving Backward: Embedding Action Impact over Action SemanticsInternational Conference on Learning Representations (ICLR), 2023
Kuo-Hao Zeng
Luca Weihs
Roozbeh Mottaghi
Ali Farhadi
180
3
0
24 Apr 2023
Universal Domain Adaptation via Compressive Attention Matching
Universal Domain Adaptation via Compressive Attention MatchingIEEE International Conference on Computer Vision (ICCV), 2023
Didi Zhu
Yincuan Li
Junkun Yuan
Zexi Li
Kun Kuang
Chao Wu
312
26
0
24 Apr 2023
Towards Realizing the Value of Labeled Target Samples: a Two-Stage
  Approach for Semi-Supervised Domain Adaptation
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain AdaptationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Mengqun Jin
Kai Li
Shuyan Li
Chunming He
Xiu Li
194
1
0
21 Apr 2023
Continual Source-Free Unsupervised Domain Adaptation
Continual Source-Free Unsupervised Domain AdaptationInternational Conference on Image Analysis and Processing (ICIAP), 2023
Waqar Ahmed
Pietro Morerio
Vittorio Murino
TTACLL
164
2
0
14 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
Hao Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei Chen
Shuicheng Yan
CLLTTA
243
4
0
13 Apr 2023
Improved Test-Time Adaptation for Domain Generalization
Improved Test-Time Adaptation for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Liang Chen
Yong Zhang
Yibing Song
Ying Shan
Lingqiao Liu
TTAOOD
288
67
0
10 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective
  Prediction
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Chang Jo Kim
Sayna Ebrahimi
Sercan O. Arik
S. Jha
Tomas Pfister
368
5
0
07 Apr 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source
  Domain Adaptation
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain AdaptationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Qi Chen
M. Marchand
OOD
224
11
0
04 Apr 2023
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