An introduction to domain adaptation and transfer learning

31 December 2018

Papers citing "An introduction to domain adaptation and transfer learning"

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Title
Single Domain Generalization for Few-Shot Counting via Universal Representation Matching Xianing Chen Si Huo Borui Jiang Hailin Hu Xinghao Chen OOD 35 0 0 22 May 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 109 0 0 27 Mar 2025
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations H. Holzmann A. Meister 58 1 0 17 Feb 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift Rui Xu Chao Chen Yue Sun Parvathinathan Venkitasubramaniam Sihong Xie 65 1 0 23 Jan 2025
CRoP: Context-wise Robust Static Human-Sensing Personalization Sawinder Kaur Avery Gump Yi Xiao Jingyu Xin Harshit Sharma Nina R Benway Jonathan L Preston Asif Salekin 53 0 0 26 Sep 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach Yarin Bar Shalev Shaer Yaniv Romano TTA OOD 74 4 0 14 Aug 2024
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning Pierre Rougé Pierre-Henri Conze Nicolas Passat Odyssée Merveille 60 0 0 02 Apr 2024
Towards Generalizing Inferences from Trials to Target Populations Melody Y Huang Harsh Parikh 40 2 0 26 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 58 2 0 20 Feb 2024
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection Andrew Du Anh-Dzung Doan Yee Wei Law Tat-Jun Chin 39 2 0 05 Sep 2023
Safety Performance of Neural Networks in the Presence of Covariate Shift Chih-Hong Cheng Harald Ruess K. Theodorou 45 1 0 24 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 53 59 0 11 Jul 2023
Addressing distributional shifts in operations management: The case of order fulfillment in customized production J. Senoner Bernhard Kratzwald Milan Kuzmanovic Torbjørn H. Netland Stefan Feuerriegel OOD 53 4 0 24 Apr 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 39 1 0 18 Apr 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani Ekram Hossain OOD AI4CE 54 27 0 13 Mar 2023
Interpretations of Domain Adaptations via Layer Variational Analysis Huan-Hsin Tseng Hsin-Yi Lin Kuo-Hsuan Hung Yu Tsao FAtt 38 4 0 03 Feb 2023
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets Sheng Kuang Henry C. Woodruff R. Granzier T. Nijnatten M. Lobbes M. Smidt Philippe Lambin S. Mehrkanoon 56 16 0 04 Jan 2023
Leveraging Structure for Improved Classification of Grouped Biased Data Daniel Zeiberg Shantanu Jain P. Radivojac 38 2 0 07 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 48 6 0 07 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 49 12 0 09 Nov 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan O. Arik Rose Yu AI4TS 44 25 0 07 Oct 2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation Xiaofeng Liu Fangxu Xing Xiaofeng Liu Jonghye Woo OOD 51 30 0 16 Sep 2022
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model Lingsheng Kong Bo Hu Xiongchang Liu Jun Lu Jane You Xiaofeng Liu 55 12 0 26 Aug 2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation Xiaofeng Liu Fangxu Xing Jane You Jun Lu C.-C. Jay Kuo Xiaofeng Liu Jonghye Woo OOD 54 6 0 16 Aug 2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 32 4 0 01 Aug 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach Yueqing Liang Canyu Chen Tian Tian Kai Shu FaML 29 9 0 08 Jun 2022
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection Abhijit Suprem C. Pu 37 4 0 15 May 2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation Ziyuan Zhao Wenjing Lu Zeng Zeng Kaixin Xu B. Veeravalli Cuntai Guan 36 8 0 14 May 2022
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes Christian Eichenberger M. Neun Henry Martin Pedro Herruzo M. Spanring ... Fei Tang A. Gruca Michael K Kopp David P. Kreil Sepp Hochreiter 59 20 0 31 Mar 2022
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy Rodrigo Hernangómez Igor Bjelakovic Lorenzo Servadei S. Stańczak 38 0 0 09 Mar 2022
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 36 24 0 17 Dec 2021
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation Nishanjan Ravin Sourajit Saha A. Schweitzer A. Elahi Farouk Dako D. Mollura David Chapman OOD 27 0 0 09 Nov 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 35 30 0 26 Oct 2021
Machine Learning Featurizations for AI Hacking of Political Systems Nathan Sanders B. Schneier 31 2 0 08 Oct 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport Max Daniels Tyler Maunu Paul Hand OT DiffM 30 69 0 07 Oct 2021
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation Gabriel Loewinger Rolando Acosta Nunez Rahul Mazumder Giovanni Parmigiani 40 0 0 19 Sep 2021
On the inductive biases of deep domain adaptation Rodrigue Siry Louis Hémadou Loïc Simon F. Jurie 47 3 0 16 Sep 2021
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning T. Alkhalifah Hanchen Wang O. Ovcharenko OOD 60 66 0 11 Sep 2021
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces Srinagesh Sharma Guoqing Zheng Ahmed Hassan Awadallah 27 1 0 09 Sep 2021
Direct domain adaptation through reciprocal linear transformations T. Alkhalifah O. Ovcharenko OOD 65 5 0 17 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 40 109 0 02 Aug 2021
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate Xiaofeng Liu Zhenhua Guo Site Li Fangxu Xing J. You C.-C. Jay Kuo Xiaofeng Liu Jonghye Woo 61 74 0 28 Jul 2021
Lifelong Teacher-Student Network Learning Fei Ye A. Bors CLL 28 44 0 09 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 50 65 0 02 Jul 2021
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 85 13 0 25 Apr 2021
Deepfake Videos in the Wild: Analysis and Detection Jiameng Pu Neal Mangaokar Lauren Kelly P. Bhattacharya Kavya Sundaram M. Javed Bolun Wang Bimal Viswanath 31 43 0 07 Mar 2021
Audio scene monitoring using redundant ad-hoc microphone array networks Peter Gerstoft Yihan Hu Michael J. Bianco Chaitanya Patil Ardel Alegre Y. Freund François Grondin 44 11 0 02 Mar 2021
Energy-constrained Self-training for Unsupervised Domain Adaptation Xiaofeng Liu Bo Hu Xiongchang Liu Jun Lu J. You Lingsheng Kong 68 29 0 01 Jan 2021
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks Tiancheng Huang Ke Xu Donglin Wang 22 3 0 10 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 33 119 0 03 Dec 2020