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Improving Efficiency in Large-Scale Decentralized Distributed Training., , , , , , , , , and 2 other author(s). ICASSP, page 3022-3026. IEEE, (2020)Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks., , , , , , , , , and 4 other author(s). CoRR, (2021)Large Scale Neural Architecture Search with Polyharmonic Splines., , , , , , , , , and 1 other author(s). CoRR, (2020)Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition., , , , , and . CoRR, (2020)Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies., , , , , and . IEEE Signal Process. Mag., 37 (3): 39-49 (2020)NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search., , , , , , , , , and 1 other author(s). AAAI, page 9294-9302. AAAI Press, (2021)CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks., , , , , , , , , and 7 other author(s). NeurIPS Datasets and Benchmarks, (2021)Map Generation from Large Scale Incomplete and Inaccurate Data Labels., , , , , , and . KDD, page 2514-2522. ACM, (2020)BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy., , , , and . IBM J. Res. Dev., 63 (6): 1:1-1:11 (2019)To Thread or Not to Thread., and . IEEE Des. Test, 30 (1): 17-25 (2013)