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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 Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set Learning
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
24
2
0
22 Sep 2023
Environment-biased Feature Ranking for Novelty Detection Robustness
Stefan Smeu
Elena Burceanu
Emanuela Haller
Andrei Liviu Nicolicioiu
OOD
36
0
0
21 Sep 2023
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Ximei Wang
Junwei Pan
Xingzhuo Guo
Dapeng Liu
Jie Jiang
OOD
31
2
0
19 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
13
4
0
18 Sep 2023
Tightening Classification Boundaries in Open Set Domain Adaptation
  through Unknown Exploitation
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation
Lucas Fernando Alvarenga e Silva
N. Sebe
Jurandy Almeida
15
3
0
16 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning
  and Minimax Entropy
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Jiaren Xiao
Quanyu Dai
X. Shen
Xiaochen Xie
Jing Dai
James Lam
Ka-Wai Kwok
28
6
0
14 Sep 2023
Strong-Weak Integrated Semi-supervision for Unsupervised Single and
  Multi Target Domain Adaptation
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation
Xiaohu Lu
H. Radha
20
0
0
12 Sep 2023
Exploring Flat Minima for Domain Generalization with Large Learning
  Rates
Exploring Flat Minima for Domain Generalization with Large Learning Rates
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
31
2
0
12 Sep 2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Towards Reliable Domain Generalization: A New Dataset and Evaluations
Jiao Zhang
Xu-Yao Zhang
Cheng-Lin Liu
OOD
26
0
0
12 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification
  Model for Domain Generalization
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Xi Yu
Huan-Hsin Tseng
Shinjae Yoo
Haibin Ling
Yuewei Lin
OOD
27
10
0
08 Sep 2023
Weighted Unsupervised Domain Adaptation Considering Geometry Features
  and Engineering Performance of 3D Design Data
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data
S. Shin
Namwoo Kang
OOD
AI4CE
20
2
0
08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain Setups
N. Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
S. Feizi
23
0
0
07 Sep 2023
Building a Winning Team: Selecting Source Model Ensembles using a
  Submodular Transferability Estimation Approach
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
KB Vimal
Saketh Bachu
Tanmay Garg
Niveditha Lakshmi Narasimhan
Raghavan Konuru
Vineeth N. Balasubramanian
34
2
0
05 Sep 2023
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time
  Adaptation
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
Manogna Sreenivas
Goirik Chakrabarty
Soma Biswas
TTA
14
1
0
02 Sep 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
28
11
0
01 Sep 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID
  Features
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
Zijian Li
Zehong Lin
Jiawei Shao
Yuyi Mao
Jun Zhang
OOD
27
10
0
30 Aug 2023
Efficient Model Personalization in Federated Learning via
  Client-Specific Prompt Generation
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
Fu-En Yang
Chien-Yi Wang
Yu-Chiang Frank Wang
VLM
FedML
21
59
0
29 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent
  Degradation and Restoration
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
31
3
0
28 Aug 2023
Domain-Specificity Inducing Transformers for Source-Free Domain
  Adaptation
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
Sunandini Sanyal
Ashish Ramayee Asokan
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Jogendra Nath Kundu
R. Venkatesh Babu
ViT
36
9
0
27 Aug 2023
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using
  Stable Diffusion
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Junjiao Tian
Lavisha Aggarwal
Andrea Colaco
Z. Kira
Mar González-Franco
DiffM
33
75
0
23 Aug 2023
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLM
CLL
28
2
0
23 Aug 2023
Understanding Hessian Alignment for Domain Generalization
Understanding Hessian Alignment for Domain Generalization
S. Hemati
Guojun Zhang
A. Estiri
Xi Chen
25
10
0
22 Aug 2023
Domain Generalization via Rationale Invariance
Domain Generalization via Rationale Invariance
Liang Chen
Yong Zhang
Yibing Song
A. Hengel
Lingqiao Liu
OOD
19
12
0
22 Aug 2023
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal
  Heterogeneous Federated Learning
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
Haokun Chen
Yao Zhang
Denis Krompass
Jindong Gu
Volker Tresp
FedML
67
39
0
21 Aug 2023
centroIDA: Cross-Domain Class Discrepancy Minimization Based on
  Accumulative Class-Centroids for Imbalanced Domain Adaptation
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation
Xiaona Sun
Zhenyu Wu
Yichen Liu
Saier Hu
Zhiqiang Zhan
Yang Ji
13
1
0
21 Aug 2023
COCA: Classifier-Oriented Calibration via Textual Prototype for
  Source-Free Universal Domain Adaptation
COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation
Xinghong Liu
Yi Zhou
Tao Zhou
Chun-Mei Feng
Ling Shao
VLM
27
2
0
21 Aug 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
DomainAdaptor: A Novel Approach to Test-time Adaptation
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
TTA
8
16
0
20 Aug 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain
  Generalization
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
OOD
30
21
0
20 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
37
23
0
20 Aug 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang
G. Lee
DiffM
26
2
0
20 Aug 2023
TDG: Text-guided Domain Generalization
TDG: Text-guided Domain Generalization
Geng-Ming Liu
Yuxi Wang
OOD
25
2
0
19 Aug 2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free
  Continual Learning
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
Filip Szatkowski
Mateusz Pyla
Marcin Przewiȩźlikowski
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
CLL
27
10
0
18 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label
  Shifts
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
S. Park
Seunghan Yang
Jaegul Choo
Sungrack Yun
VLM
TTA
25
17
0
17 Aug 2023
FedPop: Federated Population-based Hyperparameter Tuning
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen
Denis Krompass
Jindong Gu
Volker Tresp
FedML
30
0
0
16 Aug 2023
Is Self-Supervised Pretraining Good for Extrapolation in Molecular
  Property Prediction?
Is Self-Supervised Pretraining Good for Extrapolation in Molecular Property Prediction?
Shun Takashige
Masatoshi Hanai
Toyotaro Suzumura
Limin Wang
Kenjiro Taura
18
1
0
16 Aug 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in
  Class-Imbalanced Recognition
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
Yixuan Zhou
Yi Qu
Xing Xu
Hengtao Shen
25
16
0
15 Aug 2023
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Seokhyeon Ha
S. Jung
Jungwook Lee
14
3
0
15 Aug 2023
ADRMX: Additive Disentanglement of Domain Features with Remix Loss
ADRMX: Additive Disentanglement of Domain Features with Remix Loss
Berker Demirel
E. Aptoula
Huseyin Ozkan
20
1
0
12 Aug 2023
Towards Instance-adaptive Inference for Federated Learning
Towards Instance-adaptive Inference for Federated Learning
Chunhui Feng
Kai Yu
Nian Liu
Xinxing Xu
Salman Khan
W. Zuo
FedML
23
11
0
11 Aug 2023
AD-CLIP: Adapting Domains in Prompt Space Using CLIP
AD-CLIP: Adapting Domains in Prompt Space Using CLIP
Mainak Singha
Harsh Pal
Ankit Jha
Biplab Banerjee
VLM
16
49
0
10 Aug 2023
Efficient Model Adaptation for Continual Learning at the Edge
Efficient Model Adaptation for Continual Learning at the Edge
Z. Daniels
Jun Hu
M. Lomnitz
P.E.T.E.R.G. Miller
Aswin Raghavan
Joe Zhang
M. Piacentino
David C. Zhang
OOD
14
2
0
03 Aug 2023
Consistency Regularization for Generalizable Source-free Domain
  Adaptation
Consistency Regularization for Generalizable Source-free Domain Adaptation
Longxiang Tang
Kai Li
Chunming He
Yulun Zhang
Xiu Li
TTA
30
15
0
03 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and
  Humans in Visual Perception
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Jiyoung Lee
Seung Wook Kim
Seunghyun Won
Joonseok Lee
Marzyeh Ghassemi
James Thorne
Jaeseok Choi
O.-Kil Kwon
E. Choi
22
1
0
03 Aug 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with
  Orthogonal Projection of Gradients
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
Sima Behpour
T. Doan
Xin Li
Wenbin He
Liangke Gou
Liu Ren
OODD
33
11
0
01 Aug 2023
A Study of Unsupervised Evaluation Metrics for Practical and Automatic
  Domain Adaptation
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation
Minghao Chen
Ze-Feng Gao
Shuai Zhao
Qibo Qiu
Wenxiao Wang
Binbin Lin
Xiaofei He
23
1
0
01 Aug 2023
Open-Set Domain Adaptation with Visual-Language Foundation Models
Open-Set Domain Adaptation with Visual-Language Foundation Models
Qing Yu
Go Irie
Kiyoharu Aizawa
VLM
24
6
0
30 Jul 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain
  Generalization
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
Junhyeong Cho
Gilhyun Nam
Sungyeon Kim
Hunmin Yang
Suha Kwak
VLM
OOD
TTA
19
48
0
27 Jul 2023
Multi-Source Domain Adaptation through Dataset Dictionary Learning in
  Wasserstein Space
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OOD
15
12
0
27 Jul 2023
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Long-Yu Liu
Bo Zhou
Zhipeng Zhao
Zening Liu
30
0
0
26 Jul 2023
Take Your Pick: Enabling Effective Personalized Federated Learning
  within Low-dimensional Feature Space
Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space
Guogang Zhu
Xuefeng Liu
Shaojie Tang
Jianwei Niu
Xinghao Wu
Jiaxing Shen
13
1
0
26 Jul 2023
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