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Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.

L. Chen, R. Lopes, B. Cheng, M. Collins, E. Cubuk, B. Zoph, H. Adam, и J. Shlens. ECCV (9), том 12354 из Lecture Notes in Computer Science, стр. 695-714. Springer, (2020)

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Ekin Celik

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Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.L. Chen, R. Lopes, B. Cheng, M. Collins, E. Cubuk, B. Zoph, H. Adam, и J. Shlens. ECCV (9), том 12354 из Lecture Notes in Computer Science, стр. 695-714. Springer, (2020)End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX.M. Kaymak, S. Schoenholz, E. Cubuk, K. O'Hearn, K. Jr., и H. Aktulga. ISC, том 13948 из Lecture Notes in Computer Science, стр. 202-219. Springer, (2023)Multi-Task Self-Training for Learning General Representations.G. Ghiasi, B. Zoph, E. Cubuk, Q. Le, и T. Lin. ICCV, стр. 8836-8845. IEEE, (2021)Realistic Evaluation of Semi-Supervised Learning Algorithms.A. Oliver, A. Odena, C. Raffel, E. Cubuk, и I. Goodfellow. ICLR (Workshop), OpenReview.net, (2018)Improving Robustness Without Sacrificing Accuracy with Patch Gaussian AugmentationR. Lopes, D. Yin, B. Poole, J. Gilmer, и E. Cubuk. (2019)cite arxiv:1906.02611.Affinity and Diversity: Quantifying Mechanisms of Data Augmentation.R. Lopes, S. Smullin, E. Cubuk, и E. Dyer. CoRR, (2020)G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR.G. Wang, E. Cubuk, A. Rosenberg, S. Cheng, R. Weiss, B. Ramabhadran, P. Moreno, Q. Le, и D. Park. SLT, стр. 23-30. IEEE, (2022)ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring.D. Berthelot, N. Carlini, E. Cubuk, A. Kurakin, K. Sohn, H. Zhang, и C. Raffel. ICLR, OpenReview.net, (2020)SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.D. Park, W. Chan, Y. Zhang, C. Chiu, B. Zoph, E. Cubuk, и Q. Le. INTERSPEECH, стр. 2613-2617. ISCA, (2019)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.D. Hendrycks, N. Mu, E. Cubuk, B. Zoph, J. Gilmer, и B. Lakshminarayanan. CoRR, (2019)

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