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Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study.

, , , , , and . ICLR, OpenReview.net, (2021)

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Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners., , , , , , and . CVPR, page 11828-11837. IEEE, (2023)Image Deformation Meta-Networks for One-Shot Learning., , , , , and . CVPR, page 8680-8689. Computer Vision Foundation / IEEE, (2019)Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines., , , and . CVPR, page 3810-3819. Computer Vision Foundation / IEEE Computer Society, (2018)Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention., , , , , , , and . CVPR, page 14528-14539. IEEE, (2023)HoME: Homogeneity-Mining-Based Embedding Towards Detecting Illicit Transactions on Bitcoin., , , , and . APWeb-WAIM (1), volume 14331 of Lecture Notes in Computer Science, page 422-436. Springer, (2023)Shot in the Dark: Few-Shot Learning With No Base-Class Labels., , and . CVPR Workshops, page 2668-2677. Computer Vision Foundation / IEEE, (2021)Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study., , , , , and . ICLR, OpenReview.net, (2021)Image Block Augmentation for One-Shot Learning., , , and . AAAI, page 3379-3386. AAAI Press, (2019)Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers., , , and . CoRR, (2021)