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[1] Ronald Rosenfeld,et al. Semi-supervised learning with graphs , 2005 .
[2] Xiaoou Tang,et al. Mix-and-Match Tuning for Self-Supervised Semantic Segmentation , 2017, AAAI.
[3] Gian Luca Marcialis,et al. Semi-supervised PCA-Based Face Recognition Using Self-training , 2006, SSPR/SPR.
[4] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[5] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .
[7] O. Chapelle,et al. Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews] , 2009, IEEE Transactions on Neural Networks.
[8] Zoubin Ghahramani,et al. Learning from labeled and unlabeled data with label propagation , 2002 .
[9] Yuxiao Hu,et al. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition , 2016, ECCV.
[10] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Fei Wang,et al. The Devil of Face Recognition is in the Noise , 2018, ECCV.
[12] Shlomo Argamon,et al. Committee-Based Sample Selection for Probabilistic Classifiers , 1999, J. Artif. Intell. Res..
[13] Stefanos Zafeiriou,et al. ArcFace: Additive Angular Margin Loss for Deep Face Recognition , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Martial Hebert,et al. Semi-Supervised Self-Training of Object Detection Models , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[15] David Yarowsky,et al. Unsupervised Word Sense Disambiguation Rivaling Supervised Methods , 1995, ACL.
[16] Ira Kemelmacher-Shlizerman,et al. The MegaFace Benchmark: 1 Million Faces for Recognition at Scale , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Xuran Zhao,et al. Semi-supervised face recognition with LDA self-training , 2011, 2011 18th IEEE International Conference on Image Processing.
[18] Ming-Hsuan Yang,et al. Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] H. Sebastian Seung,et al. Query by committee , 1992, COLT '92.
[20] Forrest N. Iandola,et al. DenseNet: Implementing Efficient ConvNet Descriptor Pyramids , 2014, ArXiv.
[21] Cheng Li,et al. Pose-Robust Face Recognition via Deep Residual Equivariant Mapping , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Alan L. Yuille,et al. Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples , 2016, IEEE Transactions on Image Processing.
[25] Lei Yang,et al. Accelerated Training for Massive Classification via Dynamic Class Selection , 2018, AAAI.
[26] Xiaogang Wang,et al. Deep Learning Face Representation by Joint Identification-Verification , 2014, NIPS.
[27] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[28] Tom Michael Mitchell,et al. The Role of Unlabeled Data in Supervised Learning , 2004 .
[29] Stefan Winkler,et al. A data-driven approach to cleaning large face datasets , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[30] Virginia R. de Sa,et al. Learning Classification with Unlabeled Data , 1993, NIPS.
[31] Chen Huang,et al. Deep Imbalanced Learning for Face Recognition and Attribute Prediction , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[33] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[34] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[35] Shaogang Gong,et al. Stream-based joint exploration-exploitation active learning , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).