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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
Context-Aware Multimodal Pretraining
Context-Aware Multimodal PretrainingComputer Vision and Pattern Recognition (CVPR), 2024
Karsten Roth
Zeynep Akata
Dima Damen
Ivana Balazevic
Olivier J. Hénaff
VLM
353
4
0
22 Nov 2024
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain
  WiFi-Based Human Activity Recognition
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
Julian Strohmayer
Rafael Sterzinger
Matthias Wödlinger
Martin Kampel
TTA
400
1
0
20 Nov 2024
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D
  Point Cloud Semantic Segmentation
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation
Umamaheswaran Raman Kumar
A. Fayjie
Jurgen Hannaert
Patrick Vandewalle
3DV3DPC
338
1
0
20 Nov 2024
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
Houcheng Su
Mengzhu Wang
Jiao Li
Nan Yin
Liang Yang
Li Shen
302
0
0
20 Nov 2024
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised
  Domain Adaptation
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
Yao Ma
Samuel Louvan
Z. Wang
179
0
0
11 Nov 2024
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language
  Models
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
VLM
226
1
0
11 Nov 2024
Learning from Different Samples: A Source-free Framework for
  Semi-supervised Domain Adaptation
Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation
Xinyang Huang
Chuang Zhu
Bowen Zhang
Shanghang Zhang
230
2
0
11 Nov 2024
Feature Fusion Transferability Aware Transformer for Unsupervised Domain
  Adaptation
Feature Fusion Transferability Aware Transformer for Unsupervised Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Xiaowei Yu
Zhe Huang
Zao Zhang
ViT
249
8
0
10 Nov 2024
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain
  Generalization
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain GeneralizationIEEE transactions on multimedia (IEEE TMM), 2024
Pengkun Jiao
Na Zhao
Yue Yu
Yu-Gang Jiang
OOD
318
3
0
05 Nov 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsNeural Information Processing Systems (NeurIPS), 2024
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
225
11
0
04 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Rethinking Weight Decay for Robust Fine-Tuning of Foundation ModelsNeural Information Processing Systems (NeurIPS), 2024
Junjiao Tian
Chengyue Huang
Z. Kira
189
3
0
03 Nov 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo
  Federated Learning
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated LearningNeural Information Processing Systems (NeurIPS), 2024
Minghui Chen
Meirui Jiang
Xin Zhang
Qi Dou
Zehua Wang
Xiaoxiao Li
MoMeFedML
352
5
0
31 Oct 2024
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
A. Kazemi
Qurat ul ain Fatima
Volodymyr V. Kindratenko
Christopher Tessum
182
0
0
31 Oct 2024
Prompting Continual Person Search
Prompting Continual Person SearchACM Multimedia (MM), 2024
Pengcheng Zhang
Xiaohan Yu
Xiao Bai
Jin Zheng
Xin Ning
CLLVLM
241
3
0
25 Oct 2024
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free
  Unsupervised Domain Adaptation
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
Yongguang Li
Yueqi Cao
Jindong Li
Zhiqiang Zhang
Shengsheng Wang
216
2
0
21 Oct 2024
A Bayesian Framework for Clustered Federated Learning
A Bayesian Framework for Clustered Federated Learning
Peng Wu
Tales Imbiriba
Pau Closas
FedML
311
3
0
20 Oct 2024
Data Diversity as Implicit Regularization: How Does Diversity Shape the Weight Space of Deep Neural Networks?
Data Diversity as Implicit Regularization: How Does Diversity Shape the Weight Space of Deep Neural Networks?
Yang Ba
M. Mancenido
Rong Pan
275
0
0
18 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via
  Statistics Tuning
FedGTST: Boosting Global Transferability of Federated Models via Statistics TuningNeural Information Processing Systems (NeurIPS), 2024
Peizhi Niu
Chao Pan
Rasoul Etesami
Han Zhao
S. Rasoul Etesami
FedMLAAML
258
0
0
16 Oct 2024
Test-time adaptation for image compression with distribution
  regularization
Test-time adaptation for image compression with distribution regularizationInternational Conference on Learning Representations (ICLR), 2024
Kecheng Chen
Pingping Zhang
Tiexin Qin
Shiqi Wang
Hong Yan
Haoliang Li
249
2
0
16 Oct 2024
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
Hung-Chieh Fang
Po-Yi Lu
Hsuan-Tien Lin
255
0
0
15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Jun Luo
Chong Chen
Shandong Wu
FedMLVLMMoE
567
15
0
14 Oct 2024
Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients
Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients
Zikai Zhang
Jiahao Xu
Ping Liu
Rui Hu
291
5
0
14 Oct 2024
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based
  Federated Fine-Tuning
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-TuningInternational Conference on Learning Representations (ICLR), 2024
Jingyuan Zhang
Yiyang Duan
Shuaicheng Niu
Yang Cao
Wei Yang Bryan Lim
200
7
0
10 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OODMQ
333
6
0
08 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Haokun Chen
Hang Li
Yao Zhang
Gengyuan Zhang
Jinhe Bi
Juil Sock
Philip Torr
Denis Krompass
Denis Krompass
Volker Tresp
378
13
0
07 Oct 2024
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating
  Catastrophic Forgetting
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting
Bo Liu
Mao Ye
Peter Stone
Qiang Liu
CLL
175
0
0
01 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2024
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLLAI4CE
418
10
0
01 Oct 2024
Crafting Distribution Shifts for Validation and Training in Single
  Source Domain Generalization
Crafting Distribution Shifts for Validation and Training in Single Source Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Nikos Efthymiadis
Giorgos Tolias
Ondřej Chum
OOD
287
3
0
29 Sep 2024
Federated Learning from Vision-Language Foundation Models: Theoretical
  Analysis and Method
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodNeural Information Processing Systems (NeurIPS), 2024
Bikang Pan
Wei Huang
Ye-ling Shi
FedMLVLM
285
17
0
29 Sep 2024
An Enhanced Federated Prototype Learning Method under Domain Shift
An Enhanced Federated Prototype Learning Method under Domain Shift
Liang Kuang
Kuangpu Guo
Jian Liang
Jianguo Zhang
FedML
203
1
0
27 Sep 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
A3: Active Adversarial Alignment for Source-Free Domain AdaptationInternational Conference on Machine Learning and Applications (ICMLA), 2024
Chrisantus Eze
Christopher Crick
366
1
0
27 Sep 2024
Realistic Evaluation of Model Merging for Compositional Generalization
Realistic Evaluation of Model Merging for Compositional Generalization
Derek Tam
Yash Kant
Brian Lester
Igor Gilitschenski
Colin Raffel
MoMe
254
11
0
26 Sep 2024
Quantifying Context Bias in Domain Adaptation for Object Detection
Quantifying Context Bias in Domain Adaptation for Object Detection
Hojun Son
Asma Almutairi
Arpan Kusari
AI4CE
440
1
0
23 Sep 2024
PromptTA: Prompt-driven Text Adapter for Source-free Domain
  Generalization
PromptTA: Prompt-driven Text Adapter for Source-free Domain GeneralizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Haoran Zhang
Shuanghao Bai
Wanqi Zhou
Jingwen Fu
Badong Chen
VLMOODTTA
222
8
0
21 Sep 2024
Unsupervised Attention-Based Multi-Source Domain Adaptation Framework
  for Drift Compensation in Electronic Nose Systems
Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems
Wenwen Zhang
Shuhao Hu
Zhengyuan Zhang
Yuanjin Zheng
Qi Jie Wang
Zhiping Lin
140
0
0
20 Sep 2024
LARE: Latent Augmentation using Regional Embedding with Vision-Language
  Model
LARE: Latent Augmentation using Regional Embedding with Vision-Language ModelMachine Learning with Applications (MLWA), 2024
Kosuke Sakurai
Tatsuya Ishii
Ryotaro Shimizu
Linxin Song
Masayuki Goto
VLM
244
1
0
19 Sep 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic
  Incremental Learning
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024
Min-Yeong Park
Jae-Ho Lee
Gyeong-Moon Park
CLL
294
6
0
17 Sep 2024
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Partial Distribution Matching via Partial Wasserstein Adversarial NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zi-Ming Wang
Nan Xue
Ling Lei
Rebecka Jörnsten
Gui-Song Xia
OOD
407
2
0
16 Sep 2024
DICS: Find Domain-Invariant and Class-Specific Features for
  Out-of-Distribution Generalization
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution GeneralizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Qiaowei Miao
Yawei Luo
Yi Yang
OODOODD
182
2
0
13 Sep 2024
Scalable Multitask Learning Using Gradient-based Estimation of Task
  Affinity
Scalable Multitask Learning Using Gradient-based Estimation of Task AffinityKnowledge Discovery and Data Mining (KDD), 2024
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
331
11
0
09 Sep 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
FreeAugment: Data Augmentation Search Across All Degrees of FreedomEuropean Conference on Computer Vision (ECCV), 2024
Tom Bekor
Niv Nayman
Lihi Zelnik-Manor
ViT
237
2
0
07 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation
  Using Estimated Accuracy
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso
Jacob Goldberger
249
0
0
06 Sep 2024
iSeg: An Iterative Refinement-based Framework for Training-free
  Segmentation
iSeg: An Iterative Refinement-based Framework for Training-free Segmentation
Lin Sun
Jiale Cao
J. Xie
Fahad Shahbaz Khan
Yanwei Pang
DiffM
333
5
0
05 Sep 2024
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Christiaan Viviers
Amaan Valiuddin
Francisco Caetano
Lemar Abdi
Lena Filatova
Peter H. N. de With
Fons van der Sommen
OODOODD
256
5
0
04 Sep 2024
Domain-Guided Weight Modulation for Semi-Supervised Domain
  Generalization
Domain-Guided Weight Modulation for Semi-Supervised Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Chamuditha Jayanaga Galappaththige
Zachary Izzo
Xilin He
Honglu Zhou
Muhammad Haris Khan
245
5
0
04 Sep 2024
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation
COSMo: CLIP Talks on Open-Set Multi-Target Domain AdaptationBritish Machine Vision Conference (BMVC), 2024
Munish Monga
Sachin Kumar Giroh
Ankit Jha
Mainak Singha
Biplab Banerjee
Jocelyn Chanussot
282
2
0
31 Aug 2024
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework
  for breast cancer diagnosis
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosisIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2024
Yuxiang Yang
Xinyi Zeng
Pinxian Zeng
Binyu Yan
Xi Wu
Jiliu Zhou
Yan Wang
OOD
170
5
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30 Aug 2024
Certified Causal Defense with Generalizable Robustness
Certified Causal Defense with Generalizable RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2024
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAMLOODCML
480
0
0
28 Aug 2024
The Benefits of Balance: From Information Projections to Variance Reduction
The Benefits of Balance: From Information Projections to Variance ReductionNeural Information Processing Systems (NeurIPS), 2024
Lang Liu
Ronak R. Mehta
Soumik Pal
Zaïd Harchaoui
344
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Say No to Freeloader: Protecting Intellectual Property of Your Deep
  Model
Say No to Freeloader: Protecting Intellectual Property of Your Deep ModelIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Lianyu Wang
Ming Wang
Huazhu Fu
Daoqiang Zhang
299
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0
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