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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
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Y. Wang
Baile Xu
Jian Zhao
F. Shen
CLL
107
0
0
28 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu
Jiaze Li
Wanyi Wu
Hao Ren
FedML
41
0
0
20 Jan 2025
Label Calibration in Source Free Domain Adaptation
Label Calibration in Source Free Domain Adaptation
Shivangi Rai
Rini Smita Thakur
Kunal Jangid
Vinod K. Kurmi
UQCV
33
1
0
13 Jan 2025
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
31
1
0
08 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Song Wang
Xiaodong Yang
Rashidul Islam
Huiyuan Chen
Minghua Xu
Jundong Li
Yiwei Cai
OODD
52
2
0
07 Jan 2025
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
Xiusheng Xu
Lei Qi
Jingyang Zhou
Xin Geng
TTA
54
0
0
03 Jan 2025
Measuring Error Alignment for Decision-Making Systems
Measuring Error Alignment for Decision-Making Systems
Binxia Xu
Antonis Bikakis
Daniel Onah
A. Vlachidis
Luke Dickens
34
0
0
03 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation
Xinyang Huang
Chuang Zhu
Ruiying Ren
Shengjie Liu
Tiejun Huang
28
0
0
03 Jan 2025
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Yang Yuxiang
Zeng Xinyi
Zeng Pinxian
Zu Chen
Yan Binyu
Zhou Jiliu
Wang Yan
34
0
0
02 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
76
0
0
31 Dec 2024
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
A. Nguyen
Lam C. Tran
Anh Tong
Tuan-Duy H. Nguyen
Toan M. Tran
40
1
0
31 Dec 2024
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation
Xiaona Sun
Zhenyu Wu
Zhiqiang Zhan
Yang Ji
36
1
0
31 Dec 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Bin Li
Ye-ling Shi
Qian Yu
Jingya Wang
OT
48
1
0
31 Dec 2024
Uncertainty Herding: One Active Learning Method for All Label Budgets
Uncertainty Herding: One Active Learning Method for All Label Budgets
Wonho Bae
Gabriel L. Oliveira
Danica J. Sutherland
UQCV
113
0
0
30 Dec 2024
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
Helia Mohamadi
Mohammad Ali Keyvanrad
Mohammad Reza Mohammadi
38
1
0
23 Dec 2024
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Bharadwaj Ravichandran
Alexander Lynch
S. Brockman
Brandon RichardWebster
Dawei Du
A. Hoogs
Christopher Funk
ObjD
VLM
68
0
0
20 Dec 2024
Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
Min Huang
Zifeng Xie
Bo Sun
Ning Wang
71
0
0
20 Dec 2024
IntroStyle: Training-Free Introspective Style Attribution using
  Diffusion Features
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
Anand Kumar
Jiteng Mu
Nuno Vasconcelos
DiffM
77
0
0
19 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
148
0
0
18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Z. Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
154
1
0
16 Dec 2024
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models
  for Universal Cross-Domain Retrieval
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain Retrieval
Haoyu Jiang
Zhi-Qi Cheng
Gabriel Moreira
Jiawen Zhu
Jingdong Sun
Bukun Ren
Jun-Yan He
Qi Dai
Xian-Sheng Hua
VLM
85
0
0
14 Dec 2024
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and
  Instance-level Pseudo Label Denoising
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising
Xiaohu Lu
H. Radha
75
0
0
11 Dec 2024
Attention Head Purification: A New Perspective to Harness CLIP for
  Domain Generalization
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization
Yingfan Wang
Guoliang Kang
VLM
74
0
0
10 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
78
14
0
09 Dec 2024
Composed Image Retrieval for Training-Free Domain Conversion
Composed Image Retrieval for Training-Free Domain Conversion
Nikos Efthymiadis
Bill Psomas
Zakaria Laskar
Konstantinos Karantzalos
Yannis Avrithis
Ondřej Chum
Giorgos Tolias
65
0
0
04 Dec 2024
Semi-Supervised Transfer Boosting (SS-TrBoosting)
Semi-Supervised Transfer Boosting (SS-TrBoosting)
Lingfei Deng
Changming Zhao
Zhenbang Du
Kun Xia
Dongrui Wu
TPM
92
2
0
04 Dec 2024
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation
  Model for Open Compound Domain Adaptation
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
Jaehyun Choi
Junwon Ko
Dong-Jae Lee
Junmo Kim
VLM
65
0
0
03 Dec 2024
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space
Lingxiao Li
Kaixuan Fan
Boqing Gong
Xiangyu Yue
DiffM
68
0
0
27 Nov 2024
DRIVE: Dual-Robustness via Information Variability and Entropic
  Consistency in Source-Free Unsupervised Domain Adaptation
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
Ruiqiang Xiao
Songning Lai
Yijun Yang
Jiemin Wu
Yutao Yue
Lei Zhu
AAML
73
0
0
24 Nov 2024
Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
Ji Hyeok Jung
Eun Tae Kim
S. Kim
Joo Ho Lee
Bumsoo Kim
Buru Chang
VLM
145
0
0
24 Nov 2024
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
Anxhelo Diko
Antonino Furnari
Luigi Cinque
G. Farinella
88
0
0
23 Nov 2024
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain
  WiFi-Based Human Activity Recognition
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
Julian Strohmayer
Rafael Sterzinger
Matthias Wödlinger
Martin Kampel
TTA
87
0
0
20 Nov 2024
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D
  Point Cloud Semantic Segmentation
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation
Umamaheswaran Raman Kumar
A. Fayjie
Jurgen Hannaert
Patrick Vandewalle
3DV
3DPC
75
1
0
20 Nov 2024
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
Houcheng Su
Mengzhu Wang
Jiao Li
Nan Yin
Liang Yang
Li Shen
67
0
0
20 Nov 2024
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised
  Domain Adaptation
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
Yao Ma
Samuel Louvan
Z. Wang
21
0
0
11 Nov 2024
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language
  Models
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
VLM
36
1
0
11 Nov 2024
Learning from Different Samples: A Source-free Framework for
  Semi-supervised Domain Adaptation
Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation
Xinyang Huang
Chuang Zhu
Bowen Zhang
Shanghang Zhang
21
1
0
11 Nov 2024
Feature Fusion Transferability Aware Transformer for Unsupervised Domain
  Adaptation
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
Xiaowei Yu
Zhe Huang
Zao Zhang
ViT
26
1
0
10 Nov 2024
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain
  Generalization
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization
Pengkun Jiao
Na Zhao
Jingjing Chen
Yu-Gang Jiang
OOD
31
0
0
05 Nov 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
39
0
0
04 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Junjiao Tian
Chengyue Huang
Z. Kira
31
1
0
03 Nov 2024
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level
  Classification and Localization
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
A. Kazemi
Qurat ul ain Fatima
Volodymyr V. Kindratenko
Christopher Tessum
38
0
0
31 Oct 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo
  Federated Learning
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
Minghui Chen
Meirui Jiang
Xin Zhang
Qi Dou
Zehua Wang
Xiaoxiao Li
MoMe
FedML
40
2
0
31 Oct 2024
Prompting Continual Person Search
Prompting Continual Person Search
Pengcheng Zhang
Xiaohan Yu
Xiao Bai
Jin Zheng
X. Ning
CLL
VLM
36
1
0
25 Oct 2024
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free
  Unsupervised Domain Adaptation
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
Yongguang Li
Yueqi Cao
Jindong Li
Qi Wang
Shengsheng Wang
30
1
0
21 Oct 2024
A Bayesian Framework for Clustered Federated Learning
A Bayesian Framework for Clustered Federated Learning
Peng Wu
Tales Imbiriba
Pau Closas
FedML
46
0
0
20 Oct 2024
How Does Data Diversity Shape the Weight Landscape of Neural Networks?
How Does Data Diversity Shape the Weight Landscape of Neural Networks?
Yang Ba
M. Mancenido
Rong Pan
19
0
0
18 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via
  Statistics Tuning
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
Evelyn Ma
Chao Pan
Rasoul Etesami
Han Zhao
Olgica Milenković
FedML
AAML
21
0
0
16 Oct 2024
Test-time adaptation for image compression with distribution
  regularization
Test-time adaptation for image compression with distribution regularization
Kecheng Chen
Pingping Zhang
Tiexin Qin
Shiqi Wang
Hong Yan
Haoliang Li
30
1
0
16 Oct 2024
Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation
  Model Fine-Tuning
Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuning
Zikai Zhang
Jiahao Xu
Ping Liu
Rui Hu
22
2
0
14 Oct 2024
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