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Keyword

domain shift

Description: A change in the data distribution between training and deployment settings that can reduce a machine-learning model’s performance.
OpenAlex ID: keywords/domain-shift
A survey of transfer learning
2016 · Karl Weiss, Taghi M. Khoshgoftaar, et al. · Journal Of Big Data · 6,217
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Unsupervised Domain Adaptation by Backpropagation
2014 · Ganin, Yaroslav, Lempitsky, Victor · arXiv (Cornell University) · 5,282
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Adversarial Discriminative Domain Adaptation
2017 · Eric Tzeng, Judy Hoffman, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 5,141
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
2016 · Baochen Sun, Kate Saenko · Lecture notes in computer science · 3,725
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Adapting Visual Category Models to New Domains
2010 · Kate Saenko, Brian Kulis, et al. · Lecture notes in computer science · 2,843
Geodesic flow kernel for unsupervised domain adaptation
2012 · Boqing Gong, Yuan Shi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,247
Deep visual domain adaptation: A survey
2018 · Mei Wang, Weihong Deng · Neurocomputing · 2,201
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Transfer Feature Learning with Joint Distribution Adaptation
2013 · Mingsheng Long, Jianmin Wang, et al. · IEEE International Conference on Computer Vision (ICCV) · 2,069
Return of Frustratingly Easy Domain Adaptation
2016 · Baochen Sun, Jiashi Feng, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,960
Boosting for transfer learning
2007 · Wenyuan Dai, Qiang Yang, et al. · International Conference on Machine Learning · 1,788
Domain Adaptive Faster R-CNN for Object Detection in the Wild
2018 · Yuhua Chen, Wen Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,663
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
2019 · Tuan-Hung Vu, Himalaya Jain, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,517
Self-taught learning
2007 · Rajat Raina, Alexis Battle, et al. · International Conference on Machine Learning · 1,514
Learning to Generalize: Meta-Learning for Domain Generalization
2018 · Da Li, Yongxin Yang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,308
Deeper, Broader and Artier Domain Generalization
2017 · Da Li, Yongxin Yang, et al. · IEEE International Conference on Computer Vision (ICCV) · 1,283
Domain Generalization: A Survey
2022 · Kaiyang Zhou, Ziwei Liu, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,195
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A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 · Long Wen, Liang Gao, et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 1,096
Domain adaptation for object recognition: An unsupervised approach
2011 · Raghuraman Gopalan, Ruonan Li, et al. · International Conference on Computer Vision · 1,074
Deep Learning of Representations for Unsupervised and Transfer Learning.
2011 · Yoshua Bengio · 1,074
Domain Adaptation for Medical Image Analysis: A Survey
2021 · Hao Guan, Mingxia Liu · IEEE Transactions on Biomedical Engineering · 1,045
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2021 IEEE/CVF International Conference on Computer Vision (ICCV)
2021 · 985
MaPLe: Multi-modal Prompt Learning
2023 · Muhammad Uzair Khattak, Hanoona Rasheed, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 973
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Semantic Autoencoder for Zero-Shot Learning
2017 · Elyor Kodirov, Tao Xiang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 962
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Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
2019 · Yawei Luo, Liang Zheng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 836
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Strong-Weak Distribution Alignment for Adaptive Object Detection
2019 · Kuniaki Saito, Yoshitaka Ushiku, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 816
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Works count: 12,320
Citation count: 193,100
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