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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
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
Shaoheng Fang
Rui Ye
Wenhao Wang
Zuhong Liu
Yuxiao Wang
Yafei Wang
Siheng Chen
Yanfeng Wang
36
1
0
23 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
A. Mottaghi
Mohammad Abdullah Jamal
Serena Yeung
Omid Mohareri
28
0
0
23 Jan 2024
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yizhou Yu
41
12
0
21 Jan 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
24
28
0
18 Jan 2024
Scalable Pre-training of Large Autoregressive Image Models
Scalable Pre-training of Large Autoregressive Image Models
Alaaeldin El-Nouby
Michal Klein
Shuangfei Zhai
Miguel Angel Bautista
Alexander Toshev
Vaishaal Shankar
J. Susskind
Armand Joulin
VLM
20
71
0
16 Jan 2024
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal
  Correlation
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
Devavrat Tomar
Guillaume Vray
Jean-Philippe Thiran
Behzad Bozorgtabar
38
3
0
16 Jan 2024
Direct Distillation between Different Domains
Direct Distillation between Different Domains
Jialiang Tang
Shuo Chen
Gang Niu
Hongyuan Zhu
Joey Tianyi Zhou
Chen Gong
Masashi Sugiyama
47
3
0
12 Jan 2024
Learning Generalizable Models via Disentangling Spurious and Enhancing
  Potential Correlations
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
Na Wang
Lei Qi
Jintao Guo
Yinghuan Shi
Yang Gao
OOD
27
4
0
11 Jan 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain
  Alignment
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
Lin Zhang
Linghan Xu
Saman Motamed
Shayok Chakraborty
Fernando De la Torre
32
4
0
10 Jan 2024
Meta-forests: Domain generalization on random forests with meta-learning
Meta-forests: Domain generalization on random forests with meta-learning
Yuyang Sun
Panagiotis Kosmas
27
1
0
09 Jan 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
23
0
0
06 Jan 2024
Plug-and-Play Transformer Modules for Test-Time Adaptation
Plug-and-Play Transformer Modules for Test-Time Adaptation
Xiangyu Chang
Sk. Miraj Ahmed
S. Krishnamurthy
Başak Güler
A. Swami
Samet Oymak
A. Roy-Chowdhury
25
0
0
06 Jan 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for
  Federated Domain Generalization
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei
Yahong Han
63
8
0
05 Jan 2024
Multi-Source Domain Adaptation with Transformer-based Feature Generation
  for Subject-Independent EEG-based Emotion Recognition
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
Shadi Sartipi
Müjdat Çetin
15
1
0
04 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
I. Diamant
Amir Rosenfeld
Idan Achituve
Jacob Goldberger
Arnon Netzer
26
1
0
03 Jan 2024
Relating Events and Frames Based on Self-Supervised Learning and
  Uncorrelated Conditioning for Unsupervised Domain Adaptation
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation
Mohammad Rostami
Dayuan Jian
24
0
0
02 Jan 2024
Diversity-aware Buffer for Coping with Temporally Correlated Data
  Streams in Online Test-time Adaptation
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation
Mario Döbler
Florian Marencke
Robert A. Marsden
Bin Yang
TTA
19
2
0
02 Jan 2024
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Navapat Nananukul
Hamid Soltanian-zadeh
Mohammad Rostami
24
0
0
02 Jan 2024
Efficient Multi-domain Text Recognition Deep Neural Network
  Parameterization with Residual Adapters
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters
Jiayou Chao
Wei Zhu
29
0
0
01 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra
Carlos D. Castillo
Hongcheng Wang
Kate Saenko
Venkatesh Saligrama
51
1
0
31 Dec 2023
Mixture Data for Training Cannot Ensure Out-of-distribution
  Generalization
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
Songming Zhang
Yuxiao Luo
Qizhou Wang
Haoang Chi
Xiaofeng Chen
Bo Han
Jinyan Li
OODD
30
0
0
25 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift
Revisiting Knowledge Distillation under Distribution Shift
Songming Zhang
Ziyu Lyu
Xiaofeng Chen
24
1
0
25 Dec 2023
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge
  Distillation
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu
Haolun Wu
Xuan Li
Chen-li Ma
Xi Chen
Jun Yan
Boyu Wang
Xue Liu
27
3
0
22 Dec 2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data
  Heterogeneity in Federated Learning
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai
Ye-ling Shi
Wei Huang
Jingya Wang
FedML
24
4
0
21 Dec 2023
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Guangtao Zheng
Mengdi Huai
Aidong Zhang
30
14
0
20 Dec 2023
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot
  Multi-Source-Free Transfer
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
Yanru Wu
Jianning Wang
Weida Wang
Yang Li
8
3
0
19 Dec 2023
SCoTTi: Save Computation at Training Time with an adaptive framework
SCoTTi: Save Computation at Training Time with an adaptive framework
Ziyu Li
Enzo Tartaglione
Van-Tam Nguyen
31
0
0
19 Dec 2023
ProS: Prompting-to-simulate Generalized knowledge for Universal
  Cross-Domain Retrieval
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
Kaipeng Fang
Jingkuan Song
Lianli Gao
Pengpeng Zeng
Zhi-Qi Cheng
Xiyao Li
Hengtao Shen
VLM
25
10
0
19 Dec 2023
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Kumar Shubham
Pranav Sastry
AP Prathosh
19
1
0
16 Dec 2023
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Yanan Wu
Zhixiang Chi
Yang Wang
Konstantinos N. Plataniotis
Songhe Feng
OOD
19
16
0
15 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
26
7
0
13 Dec 2023
Subject-Based Domain Adaptation for Facial Expression Recognition
Subject-Based Domain Adaptation for Facial Expression Recognition
Muhammad Osama Zeeshan
Haseeb Aslam
Soufiane Belharbi
A. L. Koerich
M. Pedersoli
Simon L Bacon
Eric Granger
25
3
0
09 Dec 2023
Multi-source domain adaptation for regression
Multi-source domain adaptation for regression
Yujie Wu
Giovanni Parmigiani
Boyu Ren
17
1
0
09 Dec 2023
Cross Domain Generative Augmentation: Domain Generalization with Latent
  Diffusion Models
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models
S. Hemati
Mahdi Beitollahi
A. Estiri
Bassel Al Omari
Xi Chen
Guojun Zhang
12
6
0
08 Dec 2023
Open Domain Generalization with a Single Network by Regularization
  Exploiting Pre-trained Features
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
Inseop Chung
Kiyoon Yoo
Nojun Kwak
VLM
14
0
0
08 Dec 2023
Combining inherent knowledge of vision-language models with unsupervised
  domain adaptation through self-knowledge distillation
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through self-knowledge distillation
Thomas Westfechtel
Dexuan Zhang
Tatsuya Harada
VLM
26
2
0
07 Dec 2023
Complementary Benefits of Contrastive Learning and Self-Training Under
  Distribution Shift
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg
Amrith Rajagopal Setlur
Zachary Chase Lipton
Sivaraman Balakrishnan
Virginia Smith
Aditi Raghunathan
SSL
27
6
0
06 Dec 2023
SEVA: Leveraging sketches to evaluate alignment between human and
  machine visual abstraction
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Kushin Mukherjee
Holly Huey
Xuanchen Lu
Yael Vinker
Rio Aguina-Kang
Ariel Shamir
Judith E. Fan
27
11
0
05 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular
  Regression
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression
Sergey Kolesnikov
CML
OOD
12
4
0
04 Dec 2023
Disentangling the Effects of Data Augmentation and Format Transform in
  Self-Supervised Learning of Image Representations
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations
N. Kalibhat
Warren Morningstar
Alex Bijamov
Luyang Liu
Karan Singhal
Philip Mansfield
23
2
0
02 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification
Benchmarking Multi-Domain Active Learning on Image Classification
Jiayi Li
Rohan Taori
Tatsunori Hashimoto
VLM
32
0
0
01 Dec 2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in
  Feature-skew Federated Learning
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning
Lingzhi Gao
Zexi Li
Yang Lu
Chao Wu
34
6
0
30 Nov 2023
Continual Learning with Low Rank Adaptation
Continual Learning with Low Rank Adaptation
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
CLL
26
11
0
29 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai
Yuhang Liu
Zhen Zhang
Javen Qinfeng Shi
CLIP
VLM
24
5
0
28 Nov 2023
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain
  Adaptation
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
Sunandini Sanyal
Ashish Ramayee Asokan
Suvaansh Bhambri
YM Pradyumna
Akshay Ravindra Kulkarni
Jogendra Nath Kundu
R. V. Babu
CML
30
2
0
27 Nov 2023
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Song Tang
Wenxin Su
Mao Ye
Xiatian Zhu
VLM
25
21
0
27 Nov 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query
  Orthogonal Projection and Prototype-based One-Versus-All
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Quyen Tran
Lam C. Tran
Khoat Than
Toan M. Tran
Dinh Q. Phung
Trung Le
VLM
37
6
0
26 Nov 2023
One-bit Supervision for Image Classification: Problem, Solution, and
  Beyond
One-bit Supervision for Image Classification: Problem, Solution, and Beyond
Hengtong Hu
Lingxi Xie
Xinyue Huo
Richang Hong
Qi Tian
SSL
20
2
0
26 Nov 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality
  Distillation via CLIP for Domain Generalization
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
Jixuan Leng
Yijiang Li
Haohan Wang
VLM
29
0
0
26 Nov 2023
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Hui Liu
Wenya Wang
Hao Sun
Anderson de Rezende Rocha
Haoliang Li
41
11
0
24 Nov 2023
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