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CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.

, , , , , и . ICCV, стр. 6022-6031. IEEE, (2019)

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Joon-Seong Oh

Seong-Kyun Oh

Joon-Dong Oh

Oh-Seong Kweon

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Playing repeated games with Large Language Models., , , , , и . CoRR, (2023)ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets., , , и . CoRR, (2022)VideoMix: Rethinking Data Augmentation for Video Classification., , , , и . CoRR, (2020)Image manipulation against learned models: privacy and security implications.. Saarland University, Saarbrücken, Germany, (2018)Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective., , , , и . ICLR, OpenReview.net, (2022)CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features., , , , , и . ICCV, стр. 6022-6031. IEEE, (2019)Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 17085-17104. PMLR, (2023)Calibrating Large Language Models Using Their Generations Only., , , , и . ACL (1), стр. 15440-15459. Association for Computational Linguistics, (2024)Modeling Uncertainty with Hedged Instance Embeddings., , , , , и . ICLR (Poster), OpenReview.net, (2019)What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis., , , , , , , и . ICCV, стр. 4714-4722. IEEE, (2019)