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Moment Matching for Multi-Source Domain Adaptation

Moment Matching for Multi-Source Domain Adaptation

4 December 2018
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
    OOD
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Papers citing "Moment Matching for Multi-Source Domain Adaptation"

50 / 1,085 papers shown
Title
Domain Adaptation via Prompt Learning
Domain Adaptation via Prompt Learning
Chunjiang Ge
Rui Huang
Mixue Xie
Zihang Lai
Shiji Song
Shuang Li
Gao Huang
VPVLM
VLM
28
143
0
14 Feb 2022
Graph-Relational Domain Adaptation
Graph-Relational Domain Adaptation
Zihao Xu
Hao He
Guang-He Lee
Yuyang Wang
Hao Wang
OOD
9
27
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 Adaptation
Maohao Shen
Yuheng Bu
Greg Wornell
127
14
0
01 Feb 2022
Deconfounded Representation Similarity for Comparison of Neural Networks
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui
Yogesh Kumar
Pekka Marttinen
Samuel Kaski
CML
24
13
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
26
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 Classifiers
Payam Karisani
11
5
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
Lu Zhang
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
58
73
0
24 Jan 2022
Domain Generalization via Frequency-domain-based Feature Disentanglement
  and Interaction
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction
Jing-Yi Wang
Ruoyi Du
Dongliang Chang
Kongming Liang
Zhanyu Ma
OOD
30
44
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
14
19
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
25
101
0
15 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
20
68
0
31 Dec 2021
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
27
48
0
31 Dec 2021
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
Sayan Rakshit
Anwesh Mohanty
Ruchika Chavhan
Biplab Banerjee
Gemma Roig
S. Chaudhuri
CLL
17
10
0
28 Dec 2021
Domain-Aware Continual Zero-Shot Learning
Domain-Aware Continual Zero-Shot Learning
Kai Yi
Paul Janson
Wenxuan Zhang
Mohamed Elhoseiny
37
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
Hervé Jégou
Edouard Grave
SSL
15
148
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 MRI
Leonie Henschel
David Kügler
M. Reuter
30
41
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
R. He
21
30
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
19
40
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
6
23
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
37
20
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
Percy Liang
OOD
16
97
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
11
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
21
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
BDL
CLL
SSL
31
157
0
08 Dec 2021
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OOD
VLM
3DV
63
40
0
06 Dec 2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Sivan Harary
Eli Schwartz
Assaf Arbelle
Peter W. J. Staar
Shady Abu Hussein
...
Hildegard Kuehne
Dina Katabi
Kate Saenko
Rogerio Feris
Leonid Karlinsky
OOD
14
40
0
04 Dec 2021
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and
  Curriculum Learning
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Shengjia Zhang
Tiancheng Lin
Yi Tian Xu
16
5
0
03 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Xiaoxiao Sun
Yunzhong Hou
Hongdong Li
Liang Zheng
13
11
0
01 Dec 2021
Unsupervised Domain Adaptation: A Reality Check
Unsupervised Domain Adaptation: A Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
9
18
0
30 Nov 2021
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
Jeongbeen Yoon
Dahyun Kang
Minsu Cho
TTA
14
38
0
29 Nov 2021
On Learning Domain-Invariant Representations for Transfer Learning with
  Multiple Sources
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung-Nghia Phung
Trung Le
L. Vuong
Toan M. Tran
Anh Tran
Hung Bui
Dinh Q. Phung
OOD
AI4CE
21
19
0
27 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
22
76
0
26 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
13
6
0
26 Nov 2021
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win
  Transformer for Unsupervised Domain Adaptation
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation
Wen-hui Ma
Jinming Zhang
Shuang Li
Chi Harold Liu
Yulin Wang
Wei Li
ViT
16
11
0
25 Nov 2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via
  Semantic Prototype-based Contrastive Learning
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
Binhui Xie
Kejia Yin
Shuang Li
12
11
0
24 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining
  Competitive Performance in Federated Learning
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
Yuezhou Wu
Yan Kang
Jiahuan Luo
Yuanqin He
Qiang Yang
FedML
AAML
17
68
0
16 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
28
14
0
11 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Variational Multi-Task Learning with Gumbel-Softmax Priors
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
11
27
0
09 Nov 2021
Unified Group Fairness on Federated Learning
Unified Group Fairness on Federated Learning
Fengda Zhang
Kun Kuang
Yuxuan Liu
Long Chen
Chao-Xiang Wu
Fei Wu
Jiaxun Lu
Yunfeng Shao
Jun Xiao
FedML
55
20
0
09 Nov 2021
Domain Attention Consistency for Multi-Source Domain Adaptation
Domain Attention Consistency for Multi-Source Domain Adaptation
Zhongying Deng
Kaiyang Zhou
Yongxin Yang
Tao Xiang
32
7
0
06 Nov 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth
Xinjie Fan
Huangjie Zheng
Shujian Zhang
A. Leon-Garcia
Bo Chen
Mingyuan Zhou
44
102
0
22 Oct 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
217
201
0
21 Oct 2021
Robustness through Data Augmentation Loss Consistency
Robustness through Data Augmentation Loss Consistency
Tianjian Huang
Shaunak Halbe
Chinnadhurai Sankar
P. Amini
Satwik Kottur
A. Geramifard
Meisam Razaviyayn
Ahmad Beirami
OOD
37
8
0
21 Oct 2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang
G. Liang
Nathan Jacobs
22
10
0
18 Oct 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui
Toan M. Tran
Anh Tran
D.Q. Phung
OOD
26
125
0
18 Oct 2021
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic
  Segmentation
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Junjue Wang
Zhuo Zheng
A. Ma
Xiaoyan Lu
Yanfei Zhong
26
323
0
17 Oct 2021
Reappraising Domain Generalization in Neural Networks
Reappraising Domain Generalization in Neural Networks
S. Sivaprasad
Akshay Goindani
Vaibhav Garg
Ritam Basu
Saiteja Kosgi
Vineet Gandhi
OOD
AI4CE
23
6
0
15 Oct 2021
Content Preserving Image Translation with Texture Co-occurrence and
  Spatial Self-Similarity for Texture Debiasing and Domain Adaptation
Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation
Hao Li
Dongkyu Won
Wei Lu
Philip Chikontwe
Pengjun Xie
June Hong Ahn
Sang Hyun Park
23
37
0
15 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
18
558
0
09 Oct 2021
Conceptual Expansion Neural Architecture Search (CENAS)
Conceptual Expansion Neural Architecture Search (CENAS)
M. Singamsetti
Anmol Mahajan
Matthew J. Guzdial
3DPC
11
1
0
07 Oct 2021
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