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Does Knowledge Distillation Really Work?

, , , , и . Advances in Neural Information Processing Systems, 34, стр. 6906--6919. Curran Associates, Inc., (2021)

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Wieland Werther Pavel

Dietrich Pavel

Jonas Philipp Pavelka

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Luciana Pavel

 

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There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average., , , и . ICLR (Poster), OpenReview.net, (2019)Subspace Inference for Bayesian Deep Learning., , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 1169-1179. AUAI Press, (2019)Averaging Weights Leads to Wider Optima and Better Generalization., , , , и . UAI, стр. 876-885. AUAI Press, (2018)Dangers of Bayesian Model Averaging under Covariate Shift., , , и . NeurIPS, стр. 3309-3322. (2021)On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification., , , и . NeurIPS, (2022)FlexiViT: One Model for All Patch Sizes., , , , , , , , , и . CVPR, стр. 14496-14506. IEEE, (2023)Why Normalizing Flows Fail to Detect Out-of-Distribution Data., , и . NeurIPS, (2020)Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision., , , , , , , , , и 2 other автор(ы). ICML, OpenReview.net, (2024)Semi-Supervised Learning with Normalizing Flows, , , и . (2019)cite arxiv:1912.13025.Evaluating Approximate Inference in Bayesian Deep Learning., , , , , , , , , и . NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 113-124. PMLR, (2021)