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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
Discovering Domain Disentanglement for Generalized Multi-source Domain
  Adaptation
Discovering Domain Disentanglement for Generalized Multi-source Domain AdaptationIEEE International Conference on Multimedia and Expo (ICME), 2022
Zixin Wang
Yadan Luo
Peng Zhang
Sen Wang
Zi Huang
226
8
0
11 Jul 2022
Towards Adaptive Unknown Authentication for Universal Domain Adaptation
  by Classifier Paradox
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier ParadoxMachine-mediated learning (ML), 2022
Yunyun Wang
Yaojie Liu
Songcan Chen
135
1
0
10 Jul 2022
Domain Alignment Meets Fully Test-Time Adaptation
Domain Alignment Meets Fully Test-Time AdaptationAsian Conference on Machine Learning (ACML), 2022
Kowshik Thopalli
Pavan Turaga
Jayaraman J. Thiagarajan
OODTTA
137
5
0
09 Jul 2022
A Unified Meta-Learning Framework for Dynamic Transfer Learning
A Unified Meta-Learning Framework for Dynamic Transfer LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Jun Wu
Jingrui He
CLL
190
12
0
05 Jul 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural
  Language
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
Zhiying Zhu
Weixin Liang
James Zou
151
11
0
30 Jun 2022
Memory-Guided Multi-View Multi-Domain Fake News Detection
Memory-Guided Multi-View Multi-Domain Fake News DetectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yongchun Zhu
Qiang Sheng
Juan Cao
Qiong Nan
Kai Shu
Ming-hui Wu
Yongfeng Zhang
Fuzhen Zhuang
222
104
0
26 Jun 2022
Gated Domain Units for Multi-source Domain Generalization
Gated Domain Units for Multi-source Domain Generalization
Simon Foll
Alina Dubatovka
Eugen Ernst
Siu Lun Chau
Martin Maritsch
Patrik Okanovic
Gudrun Thater
J. M. Buhmann
Felix Wortmann
Krikamol Muandet
OOD
461
4
0
24 Jun 2022
Invariant Causal Mechanisms through Distribution Matching
Invariant Causal Mechanisms through Distribution Matching
Mathieu Chevalley
Charlotte Bunne
Andreas Krause
Stefan Bauer
OODCML
171
52
0
23 Jun 2022
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Scalable Neural Data Server: A Data Recommender for Transfer LearningNeural Information Processing Systems (NeurIPS), 2022
Tianshi Cao
Sasha Doubov
David Acuna
Sanja Fidler
167
7
0
19 Jun 2022
Adapting Self-Supervised Vision Transformers by Probing
  Attention-Conditioned Masking Consistency
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyNeural Information Processing Systems (NeurIPS), 2022
Viraj Prabhu
Sriram Yenamandra
Aaditya K. Singh
Judy Hoffman
141
15
0
16 Jun 2022
A Closer Look at Smoothness in Domain Adversarial Training
A Closer Look at Smoothness in Domain Adversarial TrainingInternational Conference on Machine Learning (ICML), 2022
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
289
167
0
16 Jun 2022
Channel Importance Matters in Few-Shot Image Classification
Channel Importance Matters in Few-Shot Image ClassificationInternational Conference on Machine Learning (ICML), 2022
Xu Luo
Jing Xu
Zenglin Xu
VLM
257
56
0
16 Jun 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
223
103
0
16 Jun 2022
Improving generalization by mimicking the human visual diet
Improving generalization by mimicking the human visual diet
Spandan Madan
You Li
Mengmi Zhang
Hanspeter Pfister
Gabriel Kreiman
172
2
0
15 Jun 2022
Test-Time Adaptation for Visual Document Understanding
Test-Time Adaptation for Visual Document Understanding
Sayna Ebrahimi
Sercan O. Arik
Tomas Pfister
OOD
229
6
0
15 Jun 2022
Disentangled Federated Learning for Tackling Attributes Skew via
  Invariant Aggregation and Diversity Transferring
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity TransferringInternational Conference on Machine Learning (ICML), 2022
Zhengquan Luo
Yunlong Wang
Zilei Wang
Zhenan Sun
Tieniu Tan
FedML
169
49
0
14 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization
INDIGO: Intrinsic Multimodality for Domain Generalization
Puneet Mangla
Shivam Chandhok
Milan Aggarwal
V. Balasubramanian
Balaji Krishnamurthy
VLM
172
3
0
13 Jun 2022
Causal Balancing for Domain Generalization
Causal Balancing for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2022
Xinyi Wang
Michael Stephen Saxon
Jiachen Li
Hongyang R. Zhang
Kun Zhang
William Yang Wang
OODCML
315
28
0
10 Jun 2022
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
341
2
0
07 Jun 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based
  Generalization Guarantees
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesInternational Conference on Machine Learning (ICML), 2022
Haotian Ju
Dongyue Li
Hongyang R. Zhang
434
38
0
06 Jun 2022
Relation Matters: Foreground-aware Graph-based Relational Reasoning for
  Domain Adaptive Object Detection
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chaoqi Chen
Jiongcheng Li
Hong-Yu Zhou
Xiaoguang Han
Yue Huang
Xinghao Ding
Yizhou Yu
192
52
0
06 Jun 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
CAFA: Class-Aware Feature Alignment for Test-Time AdaptationIEEE International Conference on Computer Vision (ICCV), 2022
Sanghun Jung
Jungsoo Lee
Nanhee Kim
Amirreza Shaban
Byron Boots
Jaegul Choo
OODTTA
437
22
0
01 Jun 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box PredictorsInternational Conference on Learning Representations (ICLR), 2022
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
222
39
0
28 May 2022
Dynamic Domain Generalization
Dynamic Domain GeneralizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Zhishu Sun
Zhifeng Shen
Luojun Lin
Yuanlong Yu
Zhifeng Yang
Shicai Yang
Weijie Chen
OOD
172
22
0
27 May 2022
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble
  Pseudo-Labeling
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
VLMTTAOOD
193
3
0
26 May 2022
Continual evaluation for lifelong learning: Identifying the stability
  gap
Continual evaluation for lifelong learning: Identifying the stability gapInternational Conference on Learning Representations (ICLR), 2022
Matthias De Lange
Gido M. van de Ven
Tinne Tuytelaars
CLL
417
50
0
26 May 2022
Understanding Programmatic Weak Supervision via Source-aware Influence
  Function
Understanding Programmatic Weak Supervision via Source-aware Influence FunctionNeural Information Processing Systems (NeurIPS), 2022
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
TDI
228
12
0
25 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective
  of Pre-Training and Data Augmentation
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Rong Jin
Xiangyang Ji
Antoni B. Chan
OOD
154
19
0
25 May 2022
Interpolating Compressed Parameter Subspaces
Interpolating Compressed Parameter Subspaces
Siddhartha Datta
N. Shadbolt
234
5
0
19 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2022
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
558
160
0
19 May 2022
Unsupervised Structure-Texture Separation Network for Oracle Character
  Recognition
Unsupervised Structure-Texture Separation Network for Oracle Character RecognitionIEEE Transactions on Image Processing (IEEE TIP), 2022
Mei Wang
Weihong Deng
Chenguang Liu
209
44
0
13 May 2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from
  Multi-domains
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domainsEuropean Conference on Computer Vision (ECCV), 2022
Haiyang Yang
Meilin Chen
Yizhou Wang
Weizhen He
Feng Zhu
Mengwei He
Rui Zhao
Wanli Ouyang
274
24
0
10 May 2022
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Multi-level Consistency Learning for Semi-supervised Domain AdaptationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Zizheng Yan
Yushuang Wu
Guanbin Li
Yipeng Qin
Xiaoguang Han
Shuguang Cui
256
39
0
09 May 2022
Attention Consistency on Visual Corruptions for Single-Source Domain
  Generalization
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Ilke Çugu
Goran Frehse
Yanbei Chen
Zeynep Akata
OOD
211
59
0
27 Apr 2022
Causal Transportability for Visual Recognition
Causal Transportability for Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2022
Chengzhi Mao
K. Xia
James Wang
Hongya Wang
Junfeng Yang
Elias Bareinboim
Carl Vondrick
CMLOODBDL
281
40
0
26 Apr 2022
One-shot Federated Learning without Server-side Training
One-shot Federated Learning without Server-side TrainingNeural Networks (NN), 2022
Shangchao Su
Bin Li
Xiangyang Xue
FedML
161
38
0
26 Apr 2022
Source-Free Domain Adaptation via Distribution Estimation
Source-Free Domain Adaptation via Distribution EstimationComputer Vision and Pattern Recognition (CVPR), 2022
Ning Ding
Yixing Xu
Yehui Tang
Chao Xu
Yunhe Wang
Dacheng Tao
TTA
183
144
0
24 Apr 2022
Can domain adaptation make object recognition work for everyone?
Can domain adaptation make object recognition work for everyone?
Viraj Prabhu
Ramprasaath R. Selvaraju
Judy Hoffman
Nikhil Naik
OOD
155
8
0
23 Apr 2022
Contrastive Test-Time Adaptation
Contrastive Test-Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Dian Chen
Yi Xu
Trevor Darrell
Sayna Ebrahimi
TTA
215
340
0
21 Apr 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented
  Visual Models
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual ModelsNeural Information Processing Systems (NeurIPS), 2022
Chunyuan Li
Haotian Liu
Liunian Harold Li
Pengchuan Zhang
J. Aneja
...
Ping Jin
Houdong Hu
Zicheng Liu
Yong Jae Lee
Jianfeng Gao
292
177
0
19 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization
NICO++: Towards Better Benchmarking for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2022
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Haoxin Liu
Zheyan Shen
Peng Cui
OOD
284
100
0
17 Apr 2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive
  Object Detection
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Jiaxi Wu
Jiaxin Chen
Meng He
Yiru Wang
Yue Liu
Bingqi Ma
Weihao Gan
Wei Wu
Yali Wang
Di Huang
188
32
0
17 Apr 2022
Safe Self-Refinement for Transformer-based Domain Adaptation
Safe Self-Refinement for Transformer-based Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Tao Sun
Cheng Lu
Tianshuo Zhang
Haibin Ling
ViT
193
119
0
16 Apr 2022
General Incremental Learning with Domain-aware Categorical
  Representations
General Incremental Learning with Domain-aware Categorical RepresentationsComputer Vision and Pattern Recognition (CVPR), 2022
Jiangwei Xie
Shipeng Yan
Xuming He
OODCLL
332
48
0
08 Apr 2022
Reusing the Task-specific Classifier as a Discriminator:
  Discriminator-free Adversarial Domain Adaptation
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Lin Chen
Wei Xu
Zhixiang Wei
Xin Jin
Xiao Tan
Yi Jin
Enhong Chen
165
132
0
08 Apr 2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Self-Supervised Graph Neural Network for Multi-Source Domain AdaptationACM Multimedia (ACM MM), 2022
Jin Yuan
Feng Hou
Yangzhou Du
Peng Wang
Xin Geng
Jianping Fan
Yong Rui
SSLOOD
181
25
0
08 Apr 2022
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy
  for Source-free Domain Adaptation
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Sanqing Qu
Guang Chen
Jing Zhang
Zhijun Li
Wei He
Dacheng Tao
TTA
216
73
0
06 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain LearningInternational Journal of Computer Vision (IJCV), 2022
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSLOOD
426
34
0
06 Apr 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive
  Representations to Related Subpopulations
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related SubpopulationsNeural Information Processing Systems (NeurIPS), 2022
Jeff Z. HaoChen
Colin Wei
Ananya Kumar
Tengyu Ma
265
46
0
06 Apr 2022
Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations
Con2^{2}2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
M. Pérez-Carrasco
P. Protopapas
Guillermo Cabrera-Vives
159
10
0
04 Apr 2022
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