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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

N. Shazeer, A. Mirhoseini, K. Maziarz, A. Davis, Q. Le, G. Hinton, and J. Dean. ICLR (Poster), OpenReview.net, (2017)

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RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.A. Mirhoseini, E. Dyer, E. Songhori, R. Baraniuk, and F. Koushanfar. CoRR, (2015)GAP: Generalizable Approximate Graph Partitioning Framework.A. Nazi, W. Hang, A. Goldie, S. Ravi, and A. Mirhoseini. CoRR, (2019)A Single-Shot Generalized Device Placement for Large Dataflow Graphs.Y. Zhou, S. Roy, A. Abdolrashidi, D. Wong, P. Ma, Q. Xu, A. Mirhoseini, and J. Laudon. IEEE Micro, 40 (5): 26-36 (2020)A Full-stack Accelerator Search Technique for Vision Applications.D. Zhang, S. Huda, E. Songhori, Q. Le, A. Goldie, and A. Mirhoseini. CoRR, (2021)Deep Mixture of Experts via Shallow Embedding.X. Wang, F. Yu, R. Wang, Y. Ma, A. Mirhoseini, T. Darrell, and J. Gonzalez. CoRR, (2018)Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers.P. Jain, S. Huda, M. Maas, J. Gonzalez, I. Stoica, and A. Mirhoseini. DATE, page 184-189. IEEE, (2022)Delving into Macro Placement with Reinforcement Learning.Z. Jiang, E. Songhori, S. Wang, A. Goldie, A. Mirhoseini, J. Jiang, Y. Lee, and D. Pan. MLCAD, page 1-3. IEEE, (2021)HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency.A. Mirhoseini, and F. Koushanfar. DATE, page 887-890. IEEE, (2011)Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning.B. Rouhani, A. Mirhoseini, and F. Koushanfar. DAC, page 61:1-61:6. ACM, (2017)DeLight: Adding Energy Dimension To Deep Neural Networks.B. Rouhani, A. Mirhoseini, and F. Koushanfar. ISLPED, page 112-117. ACM, (2016)

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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.