A Brief Review of Domain Adaptation

7 October 2020

Papers citing "A Brief Review of Domain Adaptation"

50 / 222 papers shown

Title
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition Abhi Kamboj Minh Do 145 5 0 17 Mar 2024
Stylized Face Sketch Extraction via Generative Prior with Limited Data Kwan Yun Kwanggyoon Seo Chang Wook Seo Soyeon Yoon Seongcheol Kim Soohyun Ji Amirsaman Ashtari Junyong Noh CVBM 146 10 0 17 Mar 2024
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time TrainingIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 Edward P. Chandler Shirin Shoushtari Jiaming Liu M. Salman Asif Ulugbek S. Kamilov OOD 100 2 0 15 Mar 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 151 10 0 15 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart HealthcareACM Transactions on Computing for Healthcare (TCH), 2024 Chia-Hao Li N. Jha MedIm 114 0 0 13 Mar 2024
Cross-user activity recognition using deep domain adaptation with temporal relation information Xiaozhou Ye Waleed H. Abdulla Nirmal Nair Kevin I-Kai Wang 119 2 0 12 Mar 2024
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification Yuan Wu 97 0 0 01 Mar 2024
A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter R. K. Hashmani Emre Akbas M. Demirköz 49 2 0 26 Feb 2024
Generalising realisability in statistical learning theory under epistemic uncertainty Fabio Cuzzolin CML 128 0 0 22 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 176 2 0 20 Feb 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 354 57 0 16 Feb 2024
Transfer learning with generative models for object detection on limited datasets Matteo Paiano Stefano Martina Carlotta Giannelli Filippo Caruso 135 9 0 09 Feb 2024
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model Haocheng Liu Teysir Baoueb Mathieu Fontaine Jonathan Le Roux Gaël Richard 128 6 0 09 Feb 2024
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning Md Shazid Islam Md Saydur Rahman Md. Ehsanul Haque Farhana Akter Tumpa M. Hossain A. Arabi 101 7 0 02 Feb 2024
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution ShiftsInternational Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024 Kiyoon Kim Shreyank N. Gowda Panagiotis Eustratiadis Antreas Antoniou Robert B Fisher 202 2 0 21 Jan 2024
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision Dominik A. Kloepfer João F. Henriques Dylan Campbell 3DPC 139 2 0 19 Jan 2024
Mitigating distribution shift in machine learning-augmented hybrid simulationSIAM Journal on Scientific Computing (SISC), 2024 Jiaxi Zhao Qianxiao Li 156 4 0 17 Jan 2024
Domain Adaptation for Time series Transformers using One-step fine-tuning Subina Khanal Seshu Tirupathi Giulio Zizzo Ambrish Rawat T. Pedersen AI4TS 122 7 0 12 Jan 2024
WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge Saravanabalagi Ramachandran Nathaniel Cibik Ganesh Sistu John L McDonald 207 0 0 31 Dec 2023
Out of the Ordinary: Spectrally Adapting Regression for Covariate ShiftInternational Conference on Machine Learning (ICML), 2023 Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 136 2 0 29 Dec 2023
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes Nabeel Seedat Nicolas Huynh B. V. Breugel M. Schaar 192 44 0 19 Dec 2023
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkData mining and knowledge discovery (DMKD), 2023 Hassan Ismail Fawaz Ganesh Del Grosso Tanguy Kerdoncuff Aurélie Boisbunon Illyyne Saffar AI4TS 136 2 0 15 Dec 2023
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay Bharat Goyal B. Ecsedi Viraj Prabhu Judy Hoffman 183 2 0 11 Dec 2023
Multi-source domain adaptation for regression Yujie Wu Giovanni Parmigiani Boyu Ren 150 1 0 09 Dec 2023
Rethinking the Domain Gap in Near-infrared Face Recognition Michail Tarasiou Jiankang Deng Stefanos Zafeiriou 119 1 0 01 Dec 2023
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry Maren Hackenberg Michelle Pfaffenlehner Max Behrens Astrid Pechmann Janbernd Kirschner Harald Binder 89 3 0 01 Dec 2023
Target-agnostic Source-free Domain Adaptation for Regression TasksIEEE International Conference on Data Engineering (ICDE), 2023 Tianlang He Zhiqiu Xia Jierun Chen Haoliang Li S.-H. Gary Chan 148 5 0 01 Dec 2023
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 137 12 0 25 Nov 2023
Quantum learning and essential cognition under the traction of meta-characteristics in an open world Jin Wang Changlin Song 64 1 0 22 Nov 2023
Adaptive Training Distributions with Scalable Online Bilevel Optimization David Grangier Pierre Ablin Awni Y. Hannun 138 12 0 20 Nov 2023
SniffyArt: The Dataset of Smelling Persons Mathias Zinnen Azhar Hussian Hang Tran Prathmesh Madhu Andreas Maier Vincent Christlein 150 11 0 20 Nov 2023
Can MusicGen Create Training Data for MIR Tasks? N. Kroher Helena Cuesta A. Pikrakis MGen VLM 131 2 0 15 Nov 2023
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets Andrea Roncoli A. Ćiprijanović M. Voetberg F. Villaescusa-Navarro Brian D. Nord AI4CE OOD 149 9 0 02 Nov 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning Chuizheng Meng Yihe Dong Sercan O. Arik Yan Liu Tomas Pfister CML AI4TS 177 0 0 01 Nov 2023
GIST: Generated Inputs Sets Transferability in Deep LearningACM Transactions on Software Engineering and Methodology (TOSEM), 2023 Florian Tambon Foutse Khomh G. Antoniol AAML 221 1 0 01 Nov 2023
Boosting Generalization with Adaptive Style Techniques for Fingerprint Liveness Detection Kexin Zhu Bo Lin Yang Qiu Adam Yule Yao Tang Jiajun Liang 128 0 0 20 Oct 2023
Subspace Adaptation Prior for Few-Shot LearningMachine-mediated learning (ML), 2023 Mike Huisman Aske Plaat Jan N. van Rijn VLM 120 3 0 13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 172 11 0 12 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Yongfeng Zhang Qiang Yang Zhi-Hong Mao Ye Ye 195 6 0 12 Oct 2023
Rule Mining for Correcting Classification ModelsIndustrial Conference on Data Mining (IDM), 2023 Hirofumi Suzuki Hiroaki Iwashita Takuya Takagi Yuta Fujishige Satoshi Hara KELM 20 1 0 10 Oct 2023
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop ControlInternational Conference on Learning Representations (ICLR), 2023 Neehal Tumma Mathias Lechner Noel Loo Ramin Hasani Daniela Rus 176 2 0 05 Oct 2023
Visual In-Context Learning for Few-Shot Eczema SegmentationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023 Monitirtha Dey S. K. Bhandari Venugopal Vasudevan 63 3 0 28 Sep 2023
Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel ObjectsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023 Fahong Zhang Yilei Shi Zhitong Xiong Xiaoxiang Zhu ObjD 136 32 0 19 Sep 2023
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design DataExpert systems with applications (ESWA), 2023 S. Shin Namwoo Kang OOD AI4CE 150 2 0 08 Sep 2023
Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining Sahar Voghoei James E. Byars John A. Miller Khaled Rasheed Hamid Arabnia 99 2 0 06 Sep 2023
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection Andrew Du Anh-Dzung Doan Yee Wei Law Tat-Jun Chin 223 2 0 05 Sep 2023
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal TransportSIAM Journal of Imaging Sciences (JSIS), 2023 Zhe Xiong Qiaoqiao Ding Xiaoqun Zhang OOD 166 0 0 26 Aug 2023
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures Christoph Reich Tim Prangemeier Heinz Koeppl 94 0 0 23 Aug 2023
Artificial Intelligence for the Electron Ion Collider (AI4EIC)Computing and Software for Big Science (CSBS), 2023 C. Allaire R. Ammendola E. Aschenauer Maximilian Balandat M. Battaglieri ... D. Whiteson M. Williams S. Wu N. Zachariou P. Zurita 130 8 0 17 Jul 2023
Data-Driven Design for Metamaterials and Multiscale Systems: A ReviewAdvances in Materials (AM), 2023 Doksoo Lee Wei Chen Liwei Wang Yu-Chin Chan Wei Chen AI4CE 138 134 0 01 Jul 2023