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Realistic Evaluation of Semi-Supervised Learning Algorithms., , , , и . ICLR (Workshop), OpenReview.net, (2018)Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation, , , , и . (2019)cite arxiv:1906.02611.Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation., , , , , , , и . ECCV (9), том 12354 из Lecture Notes in Computer Science, стр. 695-714. Springer, (2020)Multi-Task Self-Training for Learning General Representations., , , , и . ICCV, стр. 8836-8845. IEEE, (2021)End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX., , , , , и . ISC, том 13948 из Lecture Notes in Computer Science, стр. 202-219. Springer, (2023)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , и . CoRR, (2019)Learning Data Augmentation Strategies for Object Detection., , , , , и . ECCV (27), том 12372 из Lecture Notes in Computer Science, стр. 566-583. Springer, (2020)Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation., , , , , , , и . CoRR, (2020)AutoAugment: Learning Augmentation Strategies From Data., , , , и . CVPR, стр. 113-123. Computer Vision Foundation / IEEE, (2019)Generative Hierarchical Materials Search., , , , , , , , , и . CoRR, (2024)