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Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer., , , и . ICLR (Poster), OpenReview.net, (2019)Combinational techniques for sequential equivalence checking., , , и . FMCAD, стр. 145-149. IEEE, (2010)ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring, , , , , , и . (2019)cite arxiv:1911.09785.BISTing Datapaths under Heterogeneous Test Schemes., , и . J. Electron. Test., 14 (1-2): 115-123 (1999)High Accuracy and High Fidelity Extraction of Neural Networks., , , , и . USENIX Security Symposium, стр. 1345-1362. USENIX Association, (2020)FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence., , , , , , , , и . NeurIPS, (2020)AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation., , , , и . ICLR, OpenReview.net, (2022)BISTing data paths at behavioral level., , и . ITC, стр. 672-680. IEEE Computer Society, (2000)An Efficient Linear Time Algorithm for Scan Chain Optimization and Repartitioning., , и . ITC, стр. 781-787. IEEE Computer Society, (2002)ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring., , , , , , и . ICLR, OpenReview.net, (2020)