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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
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Hailan Lin
Qijie Wei
Xirong Li
Ruixiang Zhao
Xirong Li
316
1
0
04 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised
  Domain Adaptation
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Kendrick Shen
Robbie Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Abigail Z. Jacobs
SSL
251
94
0
01 Apr 2022
CADG: A Model Based on Cross Attention for Domain Generalization
CADG: A Model Based on Cross Attention for Domain Generalization
Chengqiu Dai
Yingqiao Lin
Fan Li
Xiyao Li
Don Xie
OOD
164
4
0
31 Mar 2022
Task Adaptive Parameter Sharing for Multi-Task Learning
Task Adaptive Parameter Sharing for Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2022
Matthew Wallingford
Hao Li
Alessandro Achille
Avinash Ravichandran
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
MoMe
172
77
0
30 Mar 2022
Towards Domain Generalization in Object Detection
Towards Domain Generalization in Object Detection
Xingxuan Zhang
Zekai Xu
Renzhe Xu
Tianyu Wang
Peng Cui
Weitao Wan
Chong Sun
Chen Li
ObjDOOD
241
30
0
27 Mar 2022
Causality Inspired Representation Learning for Domain Generalization
Causality Inspired Representation Learning for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2022
Fangrui Lv
Jian Liang
Shuang Li
Bin Zang
Chi Harold Liu
Ziteng Wang
Di Liu
CMLOOD
235
231
0
27 Mar 2022
Generative Modeling Helps Weak Supervision (and Vice Versa)
Generative Modeling Helps Weak Supervision (and Vice Versa)International Conference on Learning Representations (ICLR), 2022
Benedikt Boecking
Nicholas Roberts
Willie Neiswanger
Stefano Ermon
Frederic Sala
Artur Dubrawski
455
1
0
22 Mar 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
A Broad Study of Pre-training for Domain Generalization and AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Donghyun Kim
Kaihong Wang
Stan Sclaroff
Kate Saenko
OODAI4CE
331
91
0
22 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained ModelsEuropean Conference on Computer Vision (ECCV), 2022
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
392
172
0
21 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OODCMLAI4TS
281
40
0
18 Mar 2022
Efficient Split-Mix Federated Learning for On-Demand and In-Situ
  Customization
Efficient Split-Mix Federated Learning for On-Demand and In-Situ CustomizationInternational Conference on Learning Representations (ICLR), 2022
Junyuan Hong
Haotao Wang
Zinan Lin
Jiayu Zhou
FedML
170
71
0
18 Mar 2022
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain
  Generalization and Beyond
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and BeyondEuropean Conference on Computer Vision (ECCV), 2022
Yuzhe Yang
Hao Wang
Dina Katabi
AI4CE
252
53
0
17 Mar 2022
Adversarial Support Alignment
Adversarial Support AlignmentInternational Conference on Learning Representations (ICLR), 2022
Shangyuan Tong
T. Garipov
Yang Zhang
Shiyu Chang
Tommi Jaakkola
148
10
0
16 Mar 2022
Active Learning by Feature Mixing
Active Learning by Feature MixingComputer Vision and Pattern Recognition (CVPR), 2022
Amin Parvaneh
Ehsan Abbasnejad
Damien Teney
Reza Haffari
Anton Van Den Hengel
Javen Qinfeng Shi
156
114
0
14 Mar 2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised
  Domain Adaptation
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Yong-Jin Liu
Chuan-Xian Ren
Xiao-Lin Xu
Ke-Kun Huang
OOD
207
2
0
14 Mar 2022
Dynamic Instance Domain Adaptation
Dynamic Instance Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2022
Zhongying Deng
Kaiyang Zhou
Da Li
Junjun He
Yi-Zhe Song
Tao Xiang
OOD
292
43
0
09 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning
Domain Generalization using Pretrained Models without Fine-tuning
Ziyue Li
Kan Ren
Xinyang Jiang
Yue Liu
Haipeng Zhang
Dongsheng Li
VLM
231
42
0
09 Mar 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
On Generalizing Beyond Domains in Cross-Domain Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022
Christian Simon
M. Faraki
Yi-Hsuan Tsai
Xiang Yu
S. Schulter
Yumin Suh
Mehrtash Harandi
Manmohan Chandraker
FedMLOODCLL
153
42
0
08 Mar 2022
Maximizing Conditional Independence for Unsupervised Domain Adaptation
Maximizing Conditional Independence for Unsupervised Domain AdaptationScience China Information Sciences (Sci. China Inf. Sci.), 2022
Yiqiang Zhai
You-Wei Luo
202
5
0
07 Mar 2022
Attribute Descent: Simulating Object-Centric Datasets on the Content
  Level and Beyond
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and BeyondIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yue Yao
Liang Zheng
Xiaodong Yang
Milind Napthade
Tom Gedeon
214
18
0
28 Feb 2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Learning Semantic Segmentation from Multiple Datasets with Label ShiftsEuropean Conference on Computer Vision (ECCV), 2022
Dongwan Kim
Yi-Hsuan Tsai
Yumin Suh
M. Faraki
Sparsh Garg
Manmohan Chandraker
Bohyung Han
201
24
0
28 Feb 2022
Edge Augmentation for Large-Scale Sketch Recognition without Sketches
Edge Augmentation for Large-Scale Sketch Recognition without SketchesInternational Conference on Pattern Recognition (ICPR), 2022
Nikos Efthymiadis
Giorgos Tolias
Ondřej Chum
295
7
0
26 Feb 2022
Towards Unsupervised Domain Adaptation via Domain-Transformer
Towards Unsupervised Domain Adaptation via Domain-TransformerInternational Journal of Computer Vision (IJCV), 2022
Chuan-Xian Ren
Yiteng Zhai
You-Wei Luo
Meng Li
ViT
219
16
0
24 Feb 2022
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
Multi-Source Unsupervised Domain Adaptation via Pseudo Target DomainIEEE Transactions on Image Processing (IEEE TIP), 2022
Chuan-Xian Ren
Yong-Jin Liu
Xiwen Zhang
Ke-Kun Huang
AAMLOOD
202
109
0
22 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-DistributionInternational Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Abigail Z. Jacobs
OODD
312
831
0
21 Feb 2022
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient
  for Out-of-Distribution Generalization
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
303
86
0
14 Feb 2022
Domain Adaptation via Prompt Learning
Domain Adaptation via Prompt LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Chunjiang Ge
Rui Huang
Mixue Xie
Zihang Lai
Shiji Song
Shuang Li
Gao Huang
VPVLMVLM
263
220
0
14 Feb 2022
Graph-Relational Domain Adaptation
Graph-Relational Domain AdaptationInternational Conference on Learning Representations (ICLR), 2022
Zihao Xu
Hao He
Guang-He Lee
Yuyang Wang
Hao Wang
OOD
300
31
0
08 Feb 2022
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain
  Adaptation
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Maohao Shen
Yuheng Bu
Greg Wornell
557
20
0
01 Feb 2022
Deconfounded Representation Similarity for Comparison of Neural Networks
Deconfounded Representation Similarity for Comparison of Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Tianyu Cui
Yogesh Kumar
Pekka Marttinen
Samuel Kaski
CML
206
19
0
31 Jan 2022
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised
  Domain Adaptation
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
Changwei Xu
Jianfei Yang
Haoran Tang
Han Zou
Cheng Lu
Tianshuo Zhang
174
1
0
28 Jan 2022
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and
  Paired Classifiers
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2022
Payam Karisani
165
6
0
28 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for
  AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise
  Annotations
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Yuanfeng Ji
Jun Liu
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
275
86
0
24 Jan 2022
Domain Generalization via Frequency-domain-based Feature Disentanglement
  and Interaction
Domain Generalization via Frequency-domain-based Feature Disentanglement and InteractionACM Multimedia (ACM MM), 2022
Jing-Yi Wang
Ruoyi Du
Dongliang Chang
Kongming Liang
Zhanyu Ma
OOD
273
59
0
20 Jan 2022
Domain Adaptation via Bidirectional Cross-Attention Transformer
Domain Adaptation via Bidirectional Cross-Attention Transformer
Xiyu Wang
Pengxin Guo
Yu Zhang
ViT
145
26
0
15 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
199
132
0
15 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate ShiftInternational Conference on Learning Representations (ICLR), 2021
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
441
74
0
31 Dec 2021
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
296
55
0
31 Dec 2021
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
FRIDA -- Generative Feature Replay for Incremental Domain AdaptationComputer Vision and Image Understanding (CVIU), 2021
Sayan Rakshit
Anwesh Mohanty
Ruchika Chavhan
Biplab Banerjee
Gemma Roig
S. Chaudhuri
CLL
119
13
0
28 Dec 2021
Domain-Aware Continual Zero-Shot Learning
Domain-Aware Continual Zero-Shot Learning
Kai Yi
Paul Janson
Wenxuan Zhang
Mohamed Elhoseiny
318
4
0
24 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Edouard Grave
Edouard Grave
SSL
285
164
0
20 Dec 2021
FastSurferVINN: Building Resolution-Independence into Deep Learning
  Segmentation Methods -- A Solution for HighRes Brain MRI
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRINeuroImage (NeuroImage), 2021
Leonie Henschel
David Kügler
M. Reuter
340
63
0
17 Dec 2021
UMAD: Universal Model Adaptation under Domain and Category Shift
UMAD: Universal Model Adaptation under Domain and Category Shift
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
188
35
0
16 Dec 2021
A Style and Semantic Memory Mechanism for Domain Generalization
A Style and Semantic Memory Mechanism for Domain Generalization
Yang Chen
Yu Wang
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
193
46
0
14 Dec 2021
Transferrable Contrastive Learning for Visual Domain Adaptation
Transferrable Contrastive Learning for Visual Domain Adaptation
Yang Chen
Yingwei Pan
Yu Wang
Ting Yao
Xinmei Tian
Tao Mei
188
26
0
14 Dec 2021
Semi-supervised Domain Adaptive Structure Learning
Semi-supervised Domain Adaptive Structure Learning
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
TTA
247
28
0
12 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
242
112
0
09 Dec 2021
Adaptive Methods for Aggregated Domain Generalization
Adaptive Methods for Aggregated Domain Generalization
Xavier Thomas
D. Mahajan
A. Pentland
Abhimanyu Dubey
OOD
179
10
0
09 Dec 2021
Burn After Reading: Online Adaptation for Cross-domain Streaming Data
Burn After Reading: Online Adaptation for Cross-domain Streaming Data
Luyu Yang
M. Gao
Zeyuan Chen
Ran Xu
Abhinav Shrivastava
Chetan Ramaiah
142
4
0
08 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDLCLLSSL
311
204
0
08 Dec 2021
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