Algorithms and Theory for Multiple-Source Adaptation

20 May 2018

Papers citing "Algorithms and Theory for Multiple-Source Adaptation"

44 / 44 papers shown

Title
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 44 0 0 14 Jun 2024
LanDA: Language-Guided Multi-Source Domain Adaptation Zhenbin Wang Lei Zhang Lituan Wang Minjuan Zhu 40 10 0 25 Jan 2024
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 31 1 0 21 Oct 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 37 50 0 13 Feb 2023
Union-set Multi-source Model Adaptation for Semantic Segmentation Zongyao Li Ren Togo Takahiro Ogawa Miki Haseyama 21 4 0 06 Dec 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 45 4 0 24 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 37 6 0 05 Jun 2022
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler J. Hirayama Qibin Zhao M. Kawanabe 19 54 0 02 Jun 2022
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain Chuan-Xian Ren Yong-Jin Liu Xiwen Zhang Ke-Kun Huang AAML OOD 21 91 0 22 Feb 2022
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey G. Csurka Riccardo Volpi Boris Chidlovskii OOD VLM 3DV 70 40 0 06 Dec 2021
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning Lukas Bommes M. Hoffmann C. Buerhop‐Lutz Tobias Pickel J. Hauch Christoph J. Brabec Andreas Maier I. M. Peters 18 31 0 06 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 38 77 0 26 Nov 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks Rishabh Bhardwaj Tushar Vaidya Soujanya Poria OT FedML 65 7 0 06 Oct 2021
Multi-source Few-shot Domain Adaptation Xiangyu Yue Zangwei Zheng Colorado Reed Hari Prasanna Das Kurt Keutzer Alberto L. Sangiovanni-Vincentelli 35 12 0 25 Sep 2021
Online Adaptation to Label Distribution Shift Ruihan Wu Chuan Guo Yi-Hsun Su Kilian Q. Weinberger 21 47 0 09 Jul 2021
f-Domain-Adversarial Learning: Theory and Algorithms David Acuna Guojun Zhang M. Law Sanja Fidler FedML AI4CE 21 60 0 21 Jun 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles Ling Boyu Wang 41 29 0 09 May 2021
Information-theoretic regularization for Multi-source Domain Adaptation Geon Yeong Park Sang Wan Lee TTA 27 25 0 04 Apr 2021
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation Naveen Venkat Jogendra Nath Kundu D. K. Singh Ambareesh Revanur R. VenkateshBabu 27 69 0 20 Mar 2021
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets R. Gong Dengxin Dai Yuhua Chen Wen Li Luc Van Gool 24 22 0 15 Dec 2020
Learning Synthetic to Real Transfer for Localization and Navigational Tasks Maxime Pietrantoni Boris Chidlovskii T. Silander 22 0 0 20 Nov 2020
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources Sicheng Zhao Yang Xiao Jiang Guo Xiangyu Yue Jufeng Yang Ravi Krishna Pengfei Xu Kurt Keutzer 27 17 0 17 Nov 2020
Universal Multi-Source Domain Adaptation Yueming Yin Zhen Yang Haifeng Hu Xiaofu Wu 22 1 0 05 Nov 2020
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization Sharu Theresa Jose Osvaldo Simeone G. Durisi 29 17 0 04 Nov 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 39 39 0 29 Oct 2020
Tackling unsupervised multi-source domain adaptation with optimism and consistency Diogo Pernes Jaime S. Cardoso 31 8 0 29 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Bo-wen Li Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli S. Seshia Kurt Keutzer 44 264 0 01 Sep 2020
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 38 22 0 30 Jul 2020
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data Yishay Mansour M. Mohri Jae Hun Ro A. Suresh Ke Wu 54 28 0 19 Jul 2020
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation Hang Wang Minghao Xu Bingbing Ni Wenjun Zhang 13 105 0 17 Jul 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport Rosanna Turrisi Rémi Flamary A. Rakotomamonjy Massimiliano Pontil OT 21 31 0 23 Jun 2020
Feature Alignment and Restoration for Domain Generalization and Adaptation Xin Jin Cuiling Lan Wenjun Zeng Zhibo Chen OOD 40 39 0 22 Jun 2020
Risk Variance Penalization Chuanlong Xie Haotian Ye Fei Chen Yue Liu Rui Sun Zhenguo Li 53 33 0 13 Jun 2020
A survey on domain adaptation theory: learning bounds and theoretical guarantees I. Redko Emilie Morvant Amaury Habrard M. Sebban Younès Bennani OOD 17 133 0 24 Apr 2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey Sicheng Zhao Bo-wen Li Colorado Reed Pengfei Xu Kurt Keutzer 26 103 0 26 Feb 2020
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation Sicheng Zhao Bo-wen Li Xiangyu Yue Pengfei Xu Kurt Keutzer OOD 46 64 0 19 Feb 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 33 244 0 11 Feb 2020
Model Reuse with Reduced Kernel Mean Embedding Specification Xi-Zhu Wu Wen-qi Xu Song Liu Zhi-Hua Zhou 28 25 0 20 Jan 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 18 353 0 16 Jan 2020
Generalizing to unseen domains via distribution matching Isabela Albuquerque João Monteiro Mohammad Javad Darvishi Bayazi T. Falk Ioannis Mitliagkas OOD 35 155 0 03 Nov 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 27 92 0 29 Sep 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 74 1,754 0 04 Dec 2018
PAC-Bayes and Domain Adaptation Pascal Germain Amaury Habrard Franccois Laviolette Emilie Morvant 33 24 0 17 Jul 2017
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 793 0 19 Feb 2009