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
Understanding Programmatic Weak Supervision via Source-aware Influence Function Jieyu Zhang Hong Wang Cheng-Yu Hsieh Alexander Ratner TDI 32 9 0 25 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin Xiangyang Ji Antoni B. Chan OOD 42 14 0 25 May 2022
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 32 5 0 19 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 193 128 0 19 May 2022
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition Mei Wang Weihong Deng Chenguang Liu 54 25 0 13 May 2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains Haiyang Yang Meilin Chen Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Wanli Ouyang 19 16 0 10 May 2022
Multi-level Consistency Learning for Semi-supervised Domain Adaptation Zizheng Yan Yushuang Wu Guanbin Li Yipeng Qin Xiaoguang Han Shuguang Cui 14 32 0 09 May 2022
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization Ilke Çugu Massimiliano Mancini Yanbei Chen Zeynep Akata OOD 11 44 0 27 Apr 2022
Causal Transportability for Visual Recognition Chengzhi Mao K. Xia James Wang Hongya Wang Junfeng Yang Elias Bareinboim Carl Vondrick CML OOD BDL 17 35 0 26 Apr 2022
One-shot Federated Learning without Server-side Training Shangchao Su Bin Li Xiangyang Xue FedML 8 27 0 26 Apr 2022
Source-Free Domain Adaptation via Distribution Estimation Ning Ding Yixing Xu Yehui Tang Chao Xu Yunhe Wang Dacheng Tao TTA 7 112 0 24 Apr 2022
Can domain adaptation make object recognition work for everyone? Viraj Prabhu Ramprasaath R. Selvaraju Judy Hoffman Nikhil Naik OOD 16 8 0 23 Apr 2022
Contrastive Test-Time Adaptation Dian Chen Dequan Wang Trevor Darrell Sayna Ebrahimi TTA 14 254 0 21 Apr 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models Chunyuan Li Haotian Liu Liunian Harold Li Pengchuan Zhang J. Aneja ... Ping Jin Houdong Hu Zicheng Liu Yong Jae Lee Jianfeng Gao 29 144 0 19 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 28 75 0 17 Apr 2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection Jiaxi Wu Jiaxin Chen Meng He Yiru Wang Bo-wen Li Bingqi Ma Weihao Gan Wei Wu Yali Wang Di Huang 18 27 0 17 Apr 2022
Safe Self-Refinement for Transformer-based Domain Adaptation Tao Sun Cheng Lu Tianshuo Zhang Haibin Ling ViT 14 80 0 16 Apr 2022
General Incremental Learning with Domain-aware Categorical Representations Jiangwei Xie Shipeng Yan Xuming He OOD CLL 14 38 0 08 Apr 2022
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation Lin Chen H. Chen Zhixiang Wei Xin Jin Xiao Tan Yi Jin Enhong Chen 28 102 0 08 Apr 2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation Jin Yuan Feng Hou Yangzhou Du Zhongchao Shi Xin Geng Jianping Fan Yong Rui SSL OOD 20 19 0 08 Apr 2022
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation Sanqing Qu Guang Chen Jing Zhang Zhijun Li Wei He Dacheng Tao TTA 28 54 0 06 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations Jeff Z. HaoChen Colin Wei Ananya Kumar Tengyu Ma 28 37 0 06 Apr 2022
$Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations$ Con $^{2}$ DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations M. Pérez-Carrasco P. Protopapas Guillermo Cabrera-Vives 10 7 0 04 Apr 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion Kaibin Tian Qijie Wei Xirong Li 19 1 0 04 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation Kendrick Shen Robbie Jones Ananya Kumar Sang Michael Xie Jeff Z. HaoChen Tengyu Ma Percy Liang SSL 26 85 0 01 Apr 2022
CADG: A Model Based on Cross Attention for Domain Generalization Chengqiu Dai Yingqiao Lin Fan Li Xiyao Li Don Xie OOD 9 3 0 31 Mar 2022
Task Adaptive Parameter Sharing for Multi-Task Learning Matthew Wallingford Hao Li Alessandro Achille Avinash Ravichandran Charless C. Fowlkes Rahul Bhotika Stefano Soatto MoMe 25 59 0 30 Mar 2022
Towards Domain Generalization in Object Detection Xingxuan Zhang Zekai Xu Renzhe Xu Jiashuo Liu Peng Cui Weitao Wan Chong Sun Chen Li ObjD OOD 22 21 0 27 Mar 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 27 160 0 27 Mar 2022
Generative Modeling Helps Weak Supervision (and Vice Versa) Benedikt Boecking Nicholas Roberts W. Neiswanger Stefano Ermon Frederic Sala Artur Dubrawski 23 1 0 22 Mar 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation Donghyun Kim Kaihong Wang Stan Sclaroff Kate Saenko OOD AI4CE 30 79 0 22 Mar 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 26 131 0 21 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 24 29 0 18 Mar 2022
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong Haotao Wang Zhangyang Wang Jiayu Zhou FedML 8 56 0 18 Mar 2022
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond Yuzhe Yang Hao Wang Dina Katabi AI4CE 17 38 0 17 Mar 2022
Adversarial Support Alignment Shangyuan Tong T. Garipov Yang Zhang Shiyu Chang Tommi Jaakkola 10 9 0 16 Mar 2022
Active Learning by Feature Mixing Amin Parvaneh Ehsan Abbasnejad Damien Teney Reza Haffari A. Hengel Javen Qinfeng Shi 27 89 0 14 Mar 2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation Yong-Jin Liu Chuan-Xian Ren Xiao-Lin Xu Ke-Kun Huang OOD 17 2 0 14 Mar 2022
Dynamic Instance Domain Adaptation Zhongying Deng Kaiyang Zhou Da Li Junjun He Yi-Zhe Song Tao Xiang OOD 16 31 0 09 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning Ziyue Li Kan Ren Xinyang Jiang Bo-wen Li Haipeng Zhang Dongsheng Li VLM 31 37 0 09 Mar 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning Christian Simon M. Faraki Yi-Hsuan Tsai Xiang Yu S. Schulter Yumin Suh Mehrtash Harandi Manmohan Chandraker FedML OOD CLL 11 31 0 08 Mar 2022
Maximizing Conditional Independence for Unsupervised Domain Adaptation Yiqiang Zhai You-Wei Luo 11 3 0 07 Mar 2022
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond Yue Yao Liang Zheng Xiaodong Yang Milind Napthade Tom Gedeon 26 17 0 28 Feb 2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts Dongwan Kim Yi-Hsuan Tsai Yumin Suh M. Faraki Sparsh Garg Manmohan Chandraker Bohyung Han 15 20 0 28 Feb 2022
Edge Augmentation for Large-Scale Sketch Recognition without Sketches Nikos Efthymiadis Giorgos Tolias Ondřej Chum 32 7 0 26 Feb 2022
Towards Unsupervised Domain Adaptation via Domain-Transformer Chuan-Xian Ren Yiteng Zhai You-Wei Luo Meng Li ViT 24 9 0 24 Feb 2022
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain Chuan-Xian Ren Yong-Jin Liu Xiwen Zhang Ke-Kun Huang AAML OOD 13 91 0 22 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 39 640 0 21 Feb 2022
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 23 78 0 14 Feb 2022