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Classification and saliency detection by semi-supervised low-rank representation.

, , , , and . Pattern Recognit., (2016)

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Bridging Maximum Likelihood and Adversarial Learning via α-Divergence., , , and . AAAI, page 6901-6908. AAAI Press, (2020)Big Learning: A Universal Machine Learning Paradigm?, and . CoRR, (2022)Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning., , , , , , , , , and 2 other author(s). MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 720-727. Springer, (2018)Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2., , , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (5): 6558-6569 (May 2024)Classification and saliency detection by semi-supervised low-rank representation., , , , and . Pattern Recognit., (2016)A simplified low rank and sparse graph for semi-supervised learning., , , and . Neurocomputing, (2014)On Leveraging Pretrained GANs for Limited-Data Generation., , and . CoRR, (2020)GO Hessian for Expectation-Based Objectives., , , , and . CoRR, (2020)GAN Memory with No Forgetting., , , , and . NeurIPS, (2020)On Leveraging Pretrained GANs for Generation with Limited Data., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 11340-11351. PMLR, (2020)