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Yandong Guo | Zicheng Liu | Lijuan Wang | Zhengyou Zhang | Yue Wu | Yuancheng Ye | Yun Fu | Yinpeng Chen | Zhengyou Zhang | Y. Fu | Yue Wu | Yinpeng Chen | Yandong Guo | Yuancheng Ye | Lijuan Wang | Zicheng Liu
[1] Marc'Aurelio Ranzato,et al. Gradient Episodic Memory for Continual Learning , 2017, NIPS.
[2] Andrew Zisserman,et al. Automated Flower Classification over a Large Number of Classes , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.
[3] Vasant Honavar,et al. Learn++: an incremental learning algorithm for supervised neural networks , 2001, IEEE Trans. Syst. Man Cybern. Part C.
[4] Lei Zhang,et al. One-shot Face Recognition by Promoting Underrepresented Classes , 2017, ArXiv.
[5] Yuxin Peng,et al. Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification , 2014, ACM Multimedia.
[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Cordelia Schmid,et al. Incremental Learning of Object Detectors without Catastrophic Forgetting , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Junmo Kim,et al. Less-forgetting Learning in Deep Neural Networks , 2016, ArXiv.
[9] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[10] Gabriela Csurka,et al. Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Razvan Pascanu,et al. Overcoming catastrophic forgetting in neural networks , 2016, Proceedings of the National Academy of Sciences.
[12] Michael McCloskey,et al. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem , 1989 .
[13] Yuxiao Hu,et al. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition , 2016, ECCV.
[14] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[15] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[16] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[17] Gert Cauwenberghs,et al. Incremental and Decremental Support Vector Machine Learning , 2000, NIPS.
[18] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[19] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[20] Jonathon Shlens,et al. Conditional Image Synthesis with Auxiliary Classifier GANs , 2016, ICML.
[21] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[22] Ilja Kuzborskij,et al. From N to N+1: Multiclass Transfer Incremental Learning , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[24] Derek Hoiem,et al. Learning without Forgetting , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Christoph H. Lampert,et al. iCaRL: Incremental Classifier and Representation Learning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).