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Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

L. Smith, and N. Topin. (2017)cite arxiv:1708.07120Comment: This paper was significantly revised to show super-convergence as a general fast training methodology.

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Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates.L. Smith, and N. Topin. CoRR, (2017)Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes.N. Topin, N. Haltmeyer, S. Squire, J. Winder, M. desJardins, and J. MacGlashan. IJCAI, page 3856-3864. AAAI Press, (2015)Discovering Subgoals in Complex Domains.M. desJardins, T. Tembo, N. Topin, M. Bishoff, S. Squire, J. MacGlashan, R. Carignan, and N. Haltmeyer. AAAI Fall Symposia, AAAI Press, (2014)MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.A. Kanervisto, S. Milani, K. Ramanauskas, N. Topin, Z. Lin, J. Li, J. Shi, D. Ye, Q. Fu, W. Yang and 12 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 13-28. PMLR, (2021)Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning.S. Milani, N. Topin, B. Houghton, W. Guss, S. Mohanty, K. Nakata, O. Vinyals, and N. Kuno. NeurIPS (Competition and Demos), volume 123 of Proceedings of Machine Learning Research, page 203-214. PMLR, (2019)Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020.W. Guss, S. Milani, N. Topin, B. Houghton, S. Mohanty, A. Melnik, A. Harter, B. Buschmaas, B. Jaster, C. Berganski and 19 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 233-252. PMLR, (2020)Deep Convolutional Neural Network Design Patterns.L. Smith, and N. Topin. CoRR, (2016)MineRL: A Large-Scale Dataset of Minecraft Demonstrations.W. Guss, B. Houghton, N. Topin, P. Wang, C. Codel, M. Veloso, and R. Salakhutdinov. IJCAI, page 2442-2448. ijcai.org, (2019)The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors.W. Guss, M. Castro, S. Devlin, B. Houghton, N. Kuno, C. Loomis, S. Milani, S. Mohanty, K. Nakata, R. Salakhutdinov and 5 other author(s). CoRR, (2021)A Survey of Explainable Reinforcement Learning.S. Milani, N. Topin, M. Veloso, and F. Fang. CoRR, (2022)

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Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

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Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates