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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
StylePrompter: Enhancing Domain Generalization with Test-Time Style
  Priors
StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors
Jiao Zhang
Jian Xu
Xu-Yao Zhang
Cheng-Lin Liu
VLMOOD
176
0
0
17 Aug 2024
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual
  Learning with Pre-training
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling Chen
Yunchao Wei
VLMCLL
210
9
0
15 Aug 2024
Evidential Graph Contrastive Alignment for Source-Free Blending-Target
  Domain Adaptation
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain AdaptationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Lixian Zhang
Yibin Wen
Jinxiao Zhang
Runmin Dong
Haohuan Fu
336
1
0
14 Aug 2024
RTF-Q: Efficient Unsupervised Domain Adaptation with Retraining-free
  Quantization
RTF-Q: Efficient Unsupervised Domain Adaptation with Retraining-free Quantization
Nanyang Du
Chen Tang
Yuxiao Jiang
Yuan Meng
Zhi Wang
MQ
175
0
0
11 Aug 2024
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model
Jaehyuk Heo
Pilsung Kang
VLM
278
1
0
09 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain ShiftsInternational Conference on Learning Representations (ICLR), 2024
Hongjun Wang
S. Vaze
Kai Han
508
14
0
08 Aug 2024
MMIU: Multimodal Multi-image Understanding for Evaluating Large
  Vision-Language Models
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Fanqing Meng
Jun Wang
Chuanhao Li
Quanfeng Lu
Hao Tian
...
Jifeng Dai
Ping Luo
Ping Luo
Kaipeng Zhang
Wenqi Shao
VLM
257
47
0
05 Aug 2024
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Wenlve Zhou
Zhiheng Zhou
VLM
296
23
0
05 Aug 2024
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and
  Reasoning
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning
Biqing Qi
Junqi Gao
Xinquan Chen
Dong Li
Weinan Zhang
Bowen Zhou
CLL
171
2
0
04 Aug 2024
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Prototypical Partial Optimal Transport for Universal Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2023
Yucheng Yang
Xiang Gu
Jian Sun
OT
291
17
0
02 Aug 2024
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure
  Detection and Explanation
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and ExplanationEuropean Conference on Computer Vision (ECCV), 2024
Rakshith Subramanyam
Kowshik Thopalli
V. Narayanaswamy
Jayaraman J.Thiagarajan
244
4
0
01 Aug 2024
Gradient Harmonization in Unsupervised Domain Adaptation
Gradient Harmonization in Unsupervised Domain AdaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Fuxiang Huang
Suqi Song
Lei Zhang
240
10
0
01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
472
2
0
31 Jul 2024
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised
  Vision Transformer
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer
Ali Abedi
Q. M. Jonathan Wu
Ning Zhang
Farhad Pourpanah
185
6
0
31 Jul 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion
  Models
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion ModelsACM Multimedia (MM), 2024
Mingzhao Yang
Shangchao Su
Bin Li
Xiangyang Xue
215
14
0
29 Jul 2024
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks
Juhwan Choi
Junehyoung Kwon
Jungmin Yun
Seunguk Yu
Youngbin Kim
309
3
0
29 Jul 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature
  Shift
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
398
1
0
25 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
520
4
0
25 Jul 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu
Zhong Ji
YunLong Yu
Jiale Cao
Yanwei Pang
Jungong Han
Xuelong Li
CLL
356
5
0
24 Jul 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
327
4
0
22 Jul 2024
CP-Prompt: Composition-Based Cross-modal Prompting for
  Domain-Incremental Continual Learning
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
Yu Feng
Zhen Tian
Zhonghong Ou
Zongfu Han
Haoran Luo
Guangwei Zhang
Meina Song
CLLVLM
210
18
0
22 Jul 2024
Rethinking Domain Adaptation and Generalization in the Era of CLIP
Rethinking Domain Adaptation and Generalization in the Era of CLIP
Ruoyu Feng
Tao Yu
Xin Jin
Xiaoyuan Yu
Lei Xiao
Zhibo Chen
VLM
267
6
0
21 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with
  Orthogonal Regularization for Domain Generalization
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
220
12
0
21 Jul 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals
  using Spatio-Temporal Monge Alignment
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
Théo Gnassounou
Antoine Collas
Rémi Flamary
Karim Lounici
Alexandre Gramfort
222
6
0
19 Jul 2024
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain
  Adaptation using a Gaussian Mixture Model
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
Pascal Schlachter
Simon Wagner
Bin Yang
TTA
309
4
0
19 Jul 2024
Contrastive Adversarial Training for Unsupervised Domain Adaptation
Contrastive Adversarial Training for Unsupervised Domain Adaptation
Jiahong Chen
Zhilin Zhang
Lucy Li
Behzad Shahrasbi
Arjun Mishra
206
2
0
17 Jul 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic
  Online Data Streams
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang
Zhixiang Chi
Yanan Wu
Li Gu
Zhi Liu
Konstantinos Plataniotis
Yang Wang
OODTTA
282
8
0
16 Jul 2024
Evaluating Model Bias Requires Characterizing its Mistakes
Evaluating Model Bias Requires Characterizing its Mistakes
Isabela Albuquerque
Jessica Schrouff
David Warde-Farley
Ali Taylan Cemgil
Sven Gowal
Olivia Wiles
285
2
0
15 Jul 2024
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free
  Continual Learning
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Qiang Wang
Yihong Gong
CLL
309
28
0
14 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for
  Continual Test-Time Adaptation
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu
Xiaopeng Hong
Zhiheng Ma
Weijun Zhuang
Yaohui Ma
Yong Dai
Yaowei Wang
CLLTTA
306
7
0
12 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang
Han Wang
Xiang Wang
Tat-Seng Chua
206
2
0
10 Jul 2024
MagMax: Leveraging Model Merging for Seamless Continual Learning
MagMax: Leveraging Model Merging for Seamless Continual Learning
Daniel Marczak
Bartłomiej Twardowski
Tomasz Trzciñski
Sebastian Cygert
MoMeCLL
204
44
0
08 Jul 2024
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts
  for Cross-multidomain Facial Expression Recognition
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition
Yuxiang Yang
L. Wen
Xinyi Zeng
Yuanyuan Xu
Xi Wu
Jiliu Zhou
Yan Wang
198
5
0
08 Jul 2024
Personalized Federated Domain-Incremental Learning based on Adaptive
  Knowledge Matching
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching
Yichen Li
Wenchao Xu
Haozhao Wang
Ruixuan Li
Tianzhe Xiao
Jingcai Guo
CLL
262
27
0
06 Jul 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional
  Diffusion Models for Domain Generalization
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Moslem Yazdanpanah
Ismail Ben Ayed
Christian Desrosiers
343
5
0
04 Jul 2024
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
Wanqi Yang
Haoran Wang
Lei Wang
Ge Song
Yang Gao
Yang Gao
396
0
0
04 Jul 2024
PLeaS -- Merging Models with Permutations and Least Squares
PLeaS -- Merging Models with Permutations and Least Squares
Anshul Nasery
J. Hayase
Pang Wei Koh
Sewoong Oh
MoMe
301
9
0
02 Jul 2024
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
Jinjing Zhu
Yucheng Chen
Lin Wang
VLM
224
6
0
01 Jul 2024
CPT: Consistent Proxy Tuning for Black-box Optimization
CPT: Consistent Proxy Tuning for Black-box Optimization
Yuanyang He
Zitong Huang
Xinxing Xu
Rick Siow Mong Goh
Salman Khan
W. Zuo
Yong Liu
Chun-Mei Feng
243
1
0
01 Jul 2024
Exclusive Style Removal for Cross Domain Novel Class Discovery
Exclusive Style Removal for Cross Domain Novel Class Discovery
Yicheng Wang
Yifan Zhang
Junmin Liu
Kai Sun
441
3
0
26 Jun 2024
Geometric Understanding of Discriminability and Transferability for
  Visual Domain Adaptation
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Xiao-Lin Xu
Qingshan Liu
208
5
0
24 Jun 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental
  Learning Method
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Kishaan Jeeveswaran
Elahe Arani
Bahram Zonooz
CLL
258
8
0
23 Jun 2024
Word Matters: What Influences Domain Adaptation in Summarization?
Word Matters: What Influences Domain Adaptation in Summarization?
Yinghao Li
Siyu Miao
Heyan Huang
Yang Gao
154
6
0
21 Jun 2024
Towards Trustworthy Unsupervised Domain Adaptation: A Representation
  Learning Perspective for Enhancing Robustness, Discrimination, and
  Generalization
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization
Jia-Li Yin
Haoyuan Zheng
Ximeng Liu
AAML
203
0
0
19 Jun 2024
Cross-domain Open-world Discovery
Cross-domain Open-world Discovery
Shuo Wen
Maria Brbic
OOD
293
7
0
17 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
451
3
0
17 Jun 2024
Multi-source Unsupervised Domain Adaptation on Graphs with
  Transferability Modeling
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability ModelingKnowledge Discovery and Data Mining (KDD), 2024
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
304
5
0
14 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
308
5
0
14 Jun 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic AnalysisIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
229
2
0
14 Jun 2024
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality
  Generation
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
Lincan Cai
Shuang Li
Wenxuan Ma
Jingxuan Kang
Binhui Xie
Zixun Sun
Chengwei Zhu
MoEMoMe
263
2
0
13 Jun 2024
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