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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
Federated Robustness Propagation: Sharing Robustness in Heterogeneous
  Federated Learning
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
Junyuan Hong
Haotao Wang
Zhangyang Wang
Jiayu Zhou
FedML
13
16
0
18 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with
  Logarithmic Environments
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Yining Chen
Elan Rosenfeld
Mark Sellke
Tengyu Ma
Andrej Risteski
OOD
21
32
0
18 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Yabin Zhang
Bin Deng
K. Jia
Lei Zhang
CLL
12
10
0
18 Jun 2021
PAC Prediction Sets Under Covariate Shift
PAC Prediction Sets Under Covariate Shift
Sangdon Park
Edgar Dobriban
Insup Lee
Osbert Bastani
14
42
0
17 Jun 2021
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
Haiping Lu
Xianyuan Liu
Robert Turner
Peizhen Bai
Raivo Koot
Shuo Zhou
Mustafa Chasmai
Lawrence Schobs
17
4
0
17 Jun 2021
Domain Consistency Regularization for Unsupervised Multi-source Domain
  Adaptive Classification
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification
Zhipeng Luo
Xiaobing Zhang
Shijian Lu
Shuai Yi
15
21
0
16 Jun 2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for
  Better Single-Source Domain Generalization
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
Thomas Duboudin
Emmanuel Dellandréa
Corentin Abgrall
Gilles Hénaff
Liming Luke Chen
4
9
0
15 Jun 2021
Delving Deep into the Generalization of Vision Transformers under
  Distribution Shifts
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
Chongzhi Zhang
Mingyuan Zhang
Shanghang Zhang
Daisheng Jin
Qiang-feng Zhou
Zhongang Cai
Haiyu Zhao
Xianglong Liu
Ziwei Liu
11
102
0
14 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair
Break-It-Fix-It: Unsupervised Learning for Program Repair
Michihiro Yasunaga
Percy Liang
11
106
0
11 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
16
105
0
11 Jun 2021
Probing transfer learning with a model of synthetic correlated datasets
Probing transfer learning with a model of synthetic correlated datasets
Federica Gerace
Luca Saglietti
Stefano Sarao Mannelli
Andrew M. Saxe
Lenka Zdeborová
OOD
11
30
0
09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
  Adaptation
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
19
136
0
08 Jun 2021
Simulated Adversarial Testing of Face Recognition Models
Simulated Adversarial Testing of Face Recognition Models
Nataniel Ruiz
Adam Kortylewski
Weichao Qiu
Cihang Xie
Sarah Adel Bargal
Alan Yuille
Stan Sclaroff
AAML
CVBM
8
15
0
08 Jun 2021
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain
  Adaptation
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
Zhekai Du
Jingjing Li
Hongzu Su
Lei Zhu
Ke Lu
11
156
0
08 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu
E. Sangineto
Wei Bi
N. Sebe
Bruno Lepri
Marco De Nadai
ViT
20
164
0
07 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
32
106
0
07 Jun 2021
Generalized Domain Adaptation
Generalized Domain Adaptation
Yu Mitsuzumi
Go Irie
Daiki Ikami
Takashi Shibata
OOD
22
20
0
03 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation
  Learners
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Yabin Zhang
Haojian Zhang
Bin Deng
Shuai Li
K. Jia
Lei Zhang
13
25
0
01 Jun 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OOD
ObjD
37
170
0
27 May 2021
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI
  Studies
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
Dushyant Sahoo
Christos Davatzikos
OOD
18
3
0
13 May 2021
Aggregating From Multiple Target-Shifted Sources
Aggregating From Multiple Target-Shifted Sources
Changjian Shui
Zijian Li
Jiaqi Li
Christian Gagné
Charles X. Ling
Boyu Wang
23
29
0
09 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels
MetaKernel: Learning Variational Random Features with Limited Labels
Yingjun Du
Haoliang Sun
Xiantong Zhen
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
VLM
BDL
8
5
0
08 May 2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Taotao Jing
Hongfu Liu
Zhengming Ding
34
32
0
06 May 2021
Switching Contexts: Transportability Measures for NLP
Switching Contexts: Transportability Measures for NLP
G. Marshall
Mokanarangan Thayaparan
P. Osborne
André Freitas
OT
13
1
0
03 May 2021
Graphical Modeling for Multi-Source Domain Adaptation
Graphical Modeling for Multi-Source Domain Adaptation
Minghao Xu
Hang Wang
Bingbing Ni
30
17
0
27 Apr 2021
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
Zechen Bai
Zhigang Wang
Jian Wang
Diangang Hu
Errui Ding
98
78
0
27 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
45
28
0
25 Apr 2021
Distill on the Go: Online knowledge distillation in self-supervised
  learning
Distill on the Go: Online knowledge distillation in self-supervised learning
Prashant Bhat
Elahe Arani
Bahram Zonooz
SSL
14
28
0
20 Apr 2021
SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OOD
SSL
62
264
0
20 Apr 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yemin Shi
Yizhou Yu
61
120
0
19 Apr 2021
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation
Kai Li
Chang Liu
Handong Zhao
Yulun Zhang
Y. Fu
17
57
0
19 Apr 2021
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label
  Grouping and Co-training
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
Islam Nassar
Samitha Herath
Ehsan Abbasnejad
Wray L. Buntine
Gholamreza Haffari
VLM
11
55
0
12 Apr 2021
On Universal Black-Box Domain Adaptation
On Universal Black-Box Domain Adaptation
Bin Deng
Yabin Zhang
Hui Tang
Changxing Ding
K. Jia
17
9
0
10 Apr 2021
Open Domain Generalization with Domain-Augmented Meta-Learning
Open Domain Generalization with Domain-Augmented Meta-Learning
Yang Shu
Zhangjie Cao
Chenyu Wang
Jianmin Wang
Mingsheng Long
OOD
11
162
0
08 Apr 2021
OVANet: One-vs-All Network for Universal Domain Adaptation
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito
Kate Saenko
23
141
0
07 Apr 2021
Unsupervised Multi-source Domain Adaptation Without Access to Source
  Data
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Sk. Miraj Ahmed
Dripta S. Raychaudhuri
S. Paul
Samet Oymak
A. Roy-Chowdhury
8
126
0
05 Apr 2021
Explainability-aided Domain Generalization for Image Classification
Explainability-aided Domain Generalization for Image Classification
Robin M. Schmidt
FAtt
OOD
19
1
0
05 Apr 2021
Information-theoretic regularization for Multi-source Domain Adaptation
Information-theoretic regularization for Multi-source Domain Adaptation
Geon Yeong Park
Sang Wan Lee
TTA
11
25
0
04 Apr 2021
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
Jian Liang
Dapeng Hu
Jiashi Feng
R. He
18
77
0
04 Apr 2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
Subhankar Roy
E. Krivosheev
Zhun Zhong
N. Sebe
Elisa Ricci
22
59
0
01 Apr 2021
Confidence Calibration for Domain Generalization under Covariate Shift
Confidence Calibration for Domain Generalization under Covariate Shift
Yunye Gong
Xiaoyu Lin
Yi Yao
Thomas G. Dietterich
Ajay Divakaran
Melinda Gervasio
17
26
0
01 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
8
4
0
01 Apr 2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and
  Progressive Self-Training
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
Yoonhyung Kim
Changick Kim
11
8
0
01 Apr 2021
Unsupervised Domain Expansion for Visual Categorization
Unsupervised Domain Expansion for Visual Categorization
Jie Wang
Kaibin Tian
Dayong Ding
Gang Yang
Xirong Li
12
8
0
01 Apr 2021
Joint Learning of Neural Transfer and Architecture Adaptation for Image
  Recognition
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
Guangrun Wang
Liang Lin
Rongcong Chen
Guangcong Wang
Jiqi Zhang
OOD
10
9
0
31 Mar 2021
Prototypical Cross-domain Self-supervised Learning for Few-shot
  Unsupervised Domain Adaptation
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Shanghang Zhang
Yang Gao
Trevor Darrell
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
28
152
0
31 Mar 2021
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised
  Classification
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
Zijian Hu
Zhengyu Yang
Xuefeng Hu
Ram Nevatia
6
141
0
30 Mar 2021
Domain-robust VQA with diverse datasets and methods but no target labels
Domain-robust VQA with diverse datasets and methods but no target labels
Mingda Zhang
Tristan D. Maidment
Ahmad Diab
Adriana Kovashka
R. Hwa
OOD
11
22
0
29 Mar 2021
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for
  Source-Free Unsupervised Domain Adaptation
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
8
4
0
29 Mar 2021
Adaptive Methods for Real-World Domain Generalization
Adaptive Methods for Real-World Domain Generalization
Abhimanyu Dubey
Vignesh Ramanathan
Alex Pentland
D. Mahajan
OOD
17
88
0
29 Mar 2021
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