Moment Matching for Multi-Source Domain Adaptation

4 December 2018

Papers citing "Moment Matching for Multi-Source Domain Adaptation"

50 / 1,085 papers shown

Title
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation Johan Fredin Haslum Christos Matsoukas Karl‐Johan Leuchowius Kevin Smith 24 1 0 21 Nov 2023
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients Shangchao Su Bin Li Xiangyang Xue FedML 28 10 0 19 Nov 2023
Gradual Source Domain Expansion for Unsupervised Domain Adaptation Thomas Westfechtel Hao-Wei Yeh Dexuan Zhang Tatsuya Harada CLL 36 14 0 16 Nov 2023
MADG: Margin-based Adversarial Learning for Domain Generalization Aveen Dayal B. VimalK. Linga Reddy Cenkeramaddi C. K. Mohan Abhinav Kumar Vineeth N. Balasubramanian OOD AAML 24 63 0 14 Nov 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer Yunqiao Yang Long-Kai Huang Ying Wei 22 2 0 12 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Shiqiang Wang Christopher G. Brinton Jaekyun Moon OOD FedML 21 15 0 01 Nov 2023
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders Srijan Das Tanmay Jain Dominick Reilly P. Balaji Soumyajit Karmakar Shyam Marjit Xiang Li Abhijit Das Michael S. Ryoo 32 16 0 31 Oct 2023
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation Ruxue Wen Hangjie Yuan Dong Ni Wenbo Xiao Yaoyao Wu OOD 19 12 0 31 Oct 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 73 62 0 30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 19 11 0 28 Oct 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 31 3 0 28 Oct 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 27 12 0 27 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model Karsten Roth Lukas Thede Almut Sophia Koepke Oriol Vinyals Olivier J. Hénaff Zeynep Akata AAML 17 11 0 26 Oct 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao Haobo Wang Ying Jin Lei Feng Gang Chen Fei Huang Junbo Zhao 32 15 0 26 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 38 8 0 25 Oct 2023
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees Verónica Álvarez Santiago Mazuelas Jose A. Lozano CLL 15 1 0 24 Oct 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning Shuoran Jiang Qingcai Chen Yang Xiang Youcheng Pan Xiangping Wu AI4CE 14 0 0 24 Oct 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning Kun Song Huimin Ma Bochao Zou Huishuai Zhang Weiran Huang 18 10 0 23 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 32 18 0 18 Oct 2023
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning Shruthi Gowda Bahram Zonooz Elahe Arani 17 3 0 17 Oct 2023
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters Gyuseong Lee Wooseok Jang Jin Hyeon Kim Jaewoo Jung Seungryong Kim MoE OOD 17 2 0 17 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 33 1 0 16 Oct 2023
Towards Unified and Effective Domain Generalization Yiyuan Zhang Kaixiong Gong Xiaohan Ding Kaipeng Zhang Fangrui Lv Kurt Keutzer Xiangyu Yue AI4CE OOD FedML 28 4 0 16 Oct 2023
Discovery and Expansion of New Domains within Diffusion Models Ye Zhu Yu Wu Duo Xu Zhiwei Deng Yan Yan Olga Russakovsky DiffM 34 1 0 13 Oct 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer Tijmen Blankevoort B. Bejnordi 28 17 0 13 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Yilin Lyu Liyuan Wang Xingxing Zhang Zicheng Sun Hang Su Jun Zhu Liping Jing 34 8 0 13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 26 9 0 12 Oct 2023
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Sravanti Addepalli Ashish Ramayee Asokan Lakshay Sharma R. V. Babu VLM 24 15 0 12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models Beier Zhu Kaihua Tang Qianru Sun Hanwang Zhang 18 21 0 12 Oct 2023
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation Junyu Gao Xinhong Ma Changsheng Xu 26 4 0 12 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters Mateusz Michalkiewicz M. Faraki Xiang Yu Manmohan Chandraker Mahsa Baktash 16 2 0 11 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 30 3 0 10 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 33 0 0 10 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning Yash Garg Nebiyou Yismaw Rakib Hyder Ashley Prater-Bennette M. Salman Asif 26 2 0 09 Oct 2023
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation Yu-Rui Lai Yi Zhou Xinghong Liu Tao Zhou 18 2 0 09 Oct 2023
Subspace Identification for Multi-Source Domain Adaptation Zijian Li Ruichu Cai Guan-Hong Chen Boyang Sun Z. Hao Kun Zhang 31 33 0 07 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios Shuangliang Li Longhui Yuan Binhui Xie Tao Yang TTA 22 2 0 07 Oct 2023
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis Chong You Xingjian Leng Zijian Wang Yang Yang Zi Huang Liang Zheng OOD 33 8 0 06 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu Zeyu Wang Jieru Mei Liangqiong Qu Alan L. Yuille Cihang Xie Yuyin Zhou FedML 19 1 0 06 Oct 2023
Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening Kun Li Yong Luo Xiantao Cai Wenbin Hu Bo Du 16 1 0 05 Oct 2023
Clustering-based Image-Text Graph Matching for Domain Generalization Nokyung Park Daewon Chae Jeongyong Shim Sangpil Kim Eun-Sol Kim Jinkyu Kim OOD 25 1 0 04 Oct 2023
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 10 0 0 03 Oct 2023
Learnable Data Augmentation for One-Shot Unsupervised Domain Adaptation Julio Ivan Davila Carrazco Pietro Morerio Alessio Del Bue Vittorio Murino 13 2 0 03 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks Hao Chen Jindong Wang Ankit Shah Ran Tao Hongxin Wei Berfin cSimcsek Masashi Sugiyama Bhiksha Raj 24 26 0 29 Sep 2023
Rethinking Domain Generalization: Discriminability and Generalizability Shaocong Long Qianyu Zhou Chenhao Ying Lizhuang Ma Yuan Luo OOD AI4CE 28 12 0 28 Sep 2023
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation Yizhe Xiong Hui Chen Zijia Lin Sicheng Zhao Guiguang Ding 30 8 0 27 Sep 2023
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset Alvin De Jun Tan Clement Tan C. Yeo 31 0 0 27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation Jiachen Sun Mark Ibrahim Melissa Hall Ivan Evtimov Z. Morley Mao Cristian Canton Ferrer C. Hazirbas VLM 43 6 0 26 Sep 2023
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher Atif Belal Akhil Meethal Francisco Perdigon Romero M. Pedersoli Eric Granger 9 13 0 26 Sep 2023
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation Yulong Zhang Shu Han Chen Weisen Jiang Yu Zhang Jiangang Lu James T. Kwok DiffM 49 5 0 23 Sep 2023