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How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity.

, , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7650-7664. PMLR, (2022)

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MaxUp: A Simple Way to Improve Generalization of Neural Network Training., , , and . CoRR, (2020)Sentence-Wise Smooth Regularization for Sequence to Sequence Learning., , , and . AAAI, page 6449-6456. AAAI Press, (2019)MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training., , , and . CVPR, page 2474-2483. Computer Vision Foundation / IEEE, (2021)Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach., , and . NeurIPS, page 29630-29642. (2021)Deep Dynamic Poisson Factorization Model., and . NIPS, page 1666-1674. (2017)Improving Neural Language Modeling via Adversarial Training., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6555-6565. PMLR, (2019)ALLSH: Active Learning Guided by Local Sensitivity and Hardness., , , , , and . NAACL-HLT (Findings), page 1328-1342. Association for Computational Linguistics, (2022)Fast Point Cloud Generation with Straight Flows., , , , , , , , and . CVPR, page 9445-9454. IEEE, (2023)AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence., , and . CVPR, page 13683-13692. Computer Vision Foundation / IEEE, (2021)argmax centroid., , and . NeurIPS, page 7012-7024. (2021)