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AutoAugment: Learning Augmentation Strategies From Data.

, , , , and . CVPR, page 113-123. Computer Vision Foundation / IEEE, (2019)

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Realistic Evaluation of Semi-Supervised Learning Algorithms., , , , and . ICLR (Workshop), OpenReview.net, (2018)Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation., , , , , , , and . ECCV (9), volume 12354 of Lecture Notes in Computer Science, page 695-714. Springer, (2020)Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation, , , , and . (2019)cite arxiv:1906.02611.Multi-Task Self-Training for Learning General Representations., , , , and . ICCV, page 8836-8845. IEEE, (2021)End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX., , , , , and . ISC, volume 13948 of Lecture Notes in Computer Science, page 202-219. Springer, (2023)Learning Data Augmentation Strategies for Object Detection., , , , , and . ECCV (27), volume 12372 of Lecture Notes in Computer Science, page 566-583. Springer, (2020)Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation., , , , , , , and . CoRR, (2020)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , and . CoRR, (2019)AutoAugment: Learning Augmentation Strategies From Data., , , , and . CVPR, page 113-123. Computer Vision Foundation / IEEE, (2019)Learn2Hop: Learned Optimization on Rough Landscapes., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7643-7653. PMLR, (2021)