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Spectral Norm Regularization for Improving the Generalizability of Deep Learning., and . CoRR, (2017)Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (8): 1979-1993 (2019)Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning, , , and . (2017)cite arxiv:1704.03976Comment: To be appeared in IEEE Transactions on Pattern Analysis and Machine Intelligence.Invariance-adapted decomposition and Lasso-type contrastive learning., , and . CoRR, (2022)Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration., , , and . CoRR, (2018)Unsupervised Discrete Representation Learning., , , , and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)Contrastive Representation Learning with Trainable Augmentation Channel., , , and . CoRR, (2021)Spectral Normalization for Generative Adversarial Networks., , , and . ICLR, OpenReview.net, (2018)Neural Multi-scale Image Compression., , , and . ACCV (6), volume 11366 of Lecture Notes in Computer Science, page 718-732. Springer, (2018)Distributional Smoothing by Virtual Adversarial Examples., , , , and . ICLR (Poster), (2016)