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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
StochCA: A Novel Approach for Exploiting Pretrained Models with
  Cross-Attention
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
SeungWon Seo
Suho Lee
Sangheum Hwang
242
0
0
25 Feb 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An
  In-depth Empirical Analysis
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
324
1
0
25 Feb 2024
Co-Supervised Learning: Improving Weak-to-Strong Generalization with
  Hierarchical Mixture of Experts
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Yuejiang Liu
Alexandre Alahi
233
29
0
23 Feb 2024
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
D. Kangin
Plamen Angelov
202
1
0
22 Feb 2024
Overcoming Saturation in Density Ratio Estimation by Iterated
  Regularization
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
Lukas Gruber
Markus Holzleitner
Johannes Lehner
Sepp Hochreiter
Werner Zellinger
314
5
0
21 Feb 2024
Towards Cross-Domain Continual Learning
Towards Cross-Domain Continual Learning
Marcus Vinícius de Carvalho
Mahardhika Pratama
Jie Zhang
Chua Haoyan
E. Yapp
CLL
204
3
0
19 Feb 2024
Learning Conditional Invariances through Non-Commutativity
Learning Conditional Invariances through Non-Commutativity
Abhra Chaudhuri
Serban Georgescu
Anjan Dutta
208
1
0
18 Feb 2024
On Good Practices for Task-Specific Distillation of Large Pretrained
  Visual Models
On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models
Juliette Marrie
Michael Arbel
Julien Mairal
Diane Larlus
VLMMQ
284
2
0
17 Feb 2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain
  Adaptation
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
Yunjuan Wang
Hussein Hazimeh
Natalia Ponomareva
Alexey Kurakin
Ibrahim Hammoud
Raman Arora
OODAAML
178
1
0
16 Feb 2024
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao
Jiayi Shen
Mohammad Mahdi Derakhshani
Tianran Ouyang
Cees G. M. Snoek
OODVPVLMVLM
342
20
0
15 Feb 2024
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And
  Reparameterization
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization
Ying Jin
Yuan Liu
Dahua Lin
254
4
0
13 Feb 2024
An Empirical Study Into What Matters for Calibrating Vision-Language
  Models
An Empirical Study Into What Matters for Calibrating Vision-Language ModelsInternational Conference on Machine Learning (ICML), 2024
Weijie Tu
Weijian Deng
Dylan Campbell
Stephen Gould
Tom Gedeon
VLM
278
14
0
12 Feb 2024
Where is the Truth? The Risk of Getting Confounded in a Continual World
Where is the Truth? The Risk of Getting Confounded in a Continual World
Florian Peter Busch
Roshni Kamath
Rupert Mitchell
Wolfgang Stammer
Kristian Kersting
Martin Mundt
CLLCML
446
5
0
09 Feb 2024
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition
  via Fine-grained Domain Adaptation
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
Daniel Batrakhanov
T. Eerola
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
María Teresa Camarena-Gómez
Jukka Seppälä
Heikki Kälviäinen
228
3
0
08 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapInternational Conference on Learning Representations (ICLR), 2024
Christopher Liao
Christian So
Theodoros Tsiligkaridis
Brian Kulis
374
1
0
06 Feb 2024
Test-Time Adaptation for Depth Completion
Test-Time Adaptation for Depth CompletionComputer Vision and Pattern Recognition (CVPR), 2024
Hyoungseob Park
Anjali Gupta
Alex Wong
TTAVLM
494
23
0
05 Feb 2024
Enhancing Compositional Generalization via Compositional Feature
  Alignment
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang
Haozhe Si
Huajie Shao
Han Zhao
302
3
0
05 Feb 2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation
  of Prediction Rationale
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu
Xiaofeng Cao
Qi Chen
Bowen Zhang
Ziqin Zhou
Anton Van Den Hengel
Lingqiao Liu
206
1
0
02 Feb 2024
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain
  Adaptation
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation
Pascal Schlachter
Bin Yang
234
5
0
31 Jan 2024
A Survey on Data Augmentation in Large Model Era
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MAVLM
480
49
0
27 Jan 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free
  Domain Adaptation
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain AdaptationAsian Conference on Computer Vision (ACCV), 2024
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
431
0
0
26 Jan 2024
Revisiting Active Learning in the Era of Vision Foundation Models
Revisiting Active Learning in the Era of Vision Foundation Models
S. Gupte
Josiah Aklilu
Jeffrey Nirschl
Serena Yeung-Levy
VLM
232
11
0
25 Jan 2024
LanDA: Language-Guided Multi-Source Domain Adaptation
LanDA: Language-Guided Multi-Source Domain Adaptation
Zhenbin Wang
Lei Zhang
Lituan Wang
Minjuan Zhu
218
14
0
25 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
Shaoheng Fang
Rui Ye
Wenhao Wang
Zuhong Liu
Yuxiao Wang
Yafei Wang
Siheng Chen
Yanfeng Wang
333
4
0
23 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
A. Mottaghi
Mohammad Abdullah Jamal
Serena Yeung
Omid Mohareri
170
1
0
23 Jan 2024
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Adaptive Betweenness Clustering for Semi-Supervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2023
Jichang Li
Guanbin Li
Yizhou Yu
218
16
0
21 Jan 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
337
43
0
18 Jan 2024
Scalable Pre-training of Large Autoregressive Image Models
Scalable Pre-training of Large Autoregressive Image ModelsInternational Conference on Machine Learning (ICML), 2024
Alaaeldin El-Nouby
Michal Klein
Shuangfei Zhai
Miguel Angel Bautista
Alexander Toshev
Vaishaal Shankar
J. Susskind
Armand Joulin
VLM
285
110
0
16 Jan 2024
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal
  Correlation
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal CorrelationInternational Conference on Learning Representations (ICLR), 2024
Devavrat Tomar
Guillaume Vray
Jean-Philippe Thiran
Behzad Bozorgtabar
228
8
0
16 Jan 2024
Direct Distillation between Different Domains
Direct Distillation between Different DomainsEuropean Conference on Computer Vision (ECCV), 2024
Jialiang Tang
Shuo Chen
Gang Niu
Hongyuan Zhu
Qiufeng Wang
Chen Gong
Masashi Sugiyama
315
6
0
12 Jan 2024
Learning Generalizable Models via Disentangling Spurious and Enhancing
  Potential Correlations
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential CorrelationsIEEE Transactions on Image Processing (TIP), 2024
Na Wang
Lei Qi
Jintao Guo
Yinghuan Shi
Yang Gao
OOD
244
7
0
11 Jan 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain
  Alignment
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Lin Zhang
Linghan Xu
Saman Motamed
Shayok Chakraborty
Fernando de la Torre
286
7
0
10 Jan 2024
Meta-forests: Domain generalization on random forests with meta-learning
Meta-forests: Domain generalization on random forests with meta-learningAsian Conference on Machine Learning (ACML), 2024
Yuyang Sun
Panagiotis Kosmas
183
1
0
09 Jan 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
262
0
0
06 Jan 2024
Plug-and-Play Transformer Modules for Test-Time Adaptation
Plug-and-Play Transformer Modules for Test-Time Adaptation
Xiangyu Chang
Sk. Miraj Ahmed
S. Krishnamurthy
Başak Güler
A. Swami
Samet Oymak
Amit K. Roy-Chowdhury
493
0
0
06 Jan 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for
  Federated Domain Generalization
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei
Yahong Han
288
17
0
05 Jan 2024
Multi-Source Domain Adaptation with Transformer-based Feature Generation
  for Subject-Independent EEG-based Emotion Recognition
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
Shadi Sartipi
Müjdat Çetin
151
6
0
04 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
De-Confusing Pseudo-Labels in Source-Free Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2024
I. Diamant
Amir Rosenfeld
Idan Achituve
Jacob Goldberger
Arnon Netzer
307
4
0
03 Jan 2024
Diversity-aware Buffer for Coping with Temporally Correlated Data
  Streams in Online Test-time Adaptation
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time AdaptationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Mario Döbler
Florian Marencke
Robert A. Marsden
Bin Yang
TTA
208
4
0
02 Jan 2024
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Navapat Nananukul
Hamid Soltanian-zadeh
Mohammad Rostami
320
0
0
02 Jan 2024
Efficient Multi-domain Text Recognition Deep Neural Network
  Parameterization with Residual Adapters
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual AdaptersAdvances in Artificial Intelligence and Machine Learning (AAIML), 2024
Jiayou Chao
Wei Zhu
153
0
0
01 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra
Carlos D. Castillo
Hongcheng Wang
Kate Saenko
Venkatesh Saligrama
234
2
0
31 Dec 2023
Mixture Data for Training Cannot Ensure Out-of-distribution
  Generalization
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
Songming Zhang
Yuxiao Luo
Qizhou Wang
Haoang Chi
Xiaofeng Chen
Bo Han
Jinyan Li
OODD
304
0
0
25 Dec 2023
ShiftKD: Benchmarking Knowledge Distillation under Distribution Shift
ShiftKD: Benchmarking Knowledge Distillation under Distribution Shift
Songming Zhang
Ziyu Lyu
Ziyu Lyu
Xiaofeng Chen
215
2
0
25 Dec 2023
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge
  Distillation
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu
Haolun Wu
Xuan Li
Chen Ma
Xi Chen
Jun Yan
Boyu Wang
Xue Liu
418
3
0
22 Dec 2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data
  Heterogeneity in Federated Learning
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai
Ye-ling Shi
Wei Huang
Jingya Wang
FedML
287
9
0
21 Dec 2023
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Guangtao Zheng
Mengdi Huai
Aidong Zhang
270
29
0
20 Dec 2023
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot
  Multi-Source-Free Transfer
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
Yanru Wu
Jianning Wang
Weida Wang
Yang Li
185
7
0
19 Dec 2023
SCoTTi: Save Computation at Training Time with an adaptive framework
SCoTTi: Save Computation at Training Time with an adaptive framework
Ziyu Li
Enzo Tartaglione
Van-Tam Nguyen
214
4
0
19 Dec 2023
ProS: Prompting-to-simulate Generalized knowledge for Universal
  Cross-Domain Retrieval
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
Kaipeng Fang
Jingkuan Song
Lianli Gao
Pengpeng Zeng
Zhi-Qi Cheng
Xiyao Li
Hengtao Shen
VLM
273
19
0
19 Dec 2023
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