Horovod: fast and easy distributed deep learning in TensorFlow A Sergeev, M Del Balso arXiv preprint arXiv:1802.05799, 2018 | 1435 | 2018 |
An intriguing failing of convolutional neural networks and the coordconv solution R Liu, J Lehman, P Molino, F Petroski Such, E Frank, A Sergeev, ... Advances in neural information processing systems 31, 2018 | 1060 | 2018 |
Faster neural networks straight from jpeg L Gueguen, A Sergeev, B Kadlec, R Liu, J Yosinski Advances in Neural Information Processing Systems 31, 2018 | 275 | 2018 |
fast and easy distributed deep learning in TensorFlow A Sergeev, MH Del Balso arXiv preprint arXiv:1802.05799, 2018 | 82 | 2018 |
Horovod: fast and easy distributed deep learning in TensorFlow. CoRR abs/1802.05799 (2018) A Sergeev, M Del Balso arXiv preprint arXiv:1802.05799, 2018 | 39 | 2018 |
Exascale deep learning for scientific inverse problems N Laanait, J Romero, J Yin, MT Young, S Treichler, V Starchenko, ... arXiv preprint arXiv:1909.11150, 2019 | 33 | 2019 |
Fast and easy distributed deep learning in TensorFlow. arXiv 2018 A Sergeev, MH Del Balso arXiv preprint arXiv:1802.05799, 2020 | 30 | 2020 |
Accelerating collective communication in data parallel training across deep learning frameworks J Romero, J Yin, N Laanait, B Xie, MT Young, S Treichler, V Starchenko, ... 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022 | 23 | 2022 |
Meet Horovod: Uber’s open source distributed deep learning framework for tensorflow A Sergeev, MD Balso Uber Engineering Blog, 2017 | 18 | 2017 |
Dynamic scheduling of approximate telemetry queries C Misa, W O'Connor, R Durairajan, R Rejaie, W Willinger 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022 | 15 | 2022 |
An intriguing failing of convolutional neural networks and the CoordConv Solution. 2018 R Liu, J Lehman, P Molino, FP Such, E Frank, A Sergeev, J Yosinski ArXiv E-prints, 1904 | 14 | 1904 |
Horovod: fast and easy distributed deep learning in TensorFlow. arXiv A Sergeev, M Del Balso arXiv preprint arXiv:1802.05799, 2018 | 11 | 2018 |
Decoding Inverse Imaging Problems in Materials with Distributed Deep Learning N Laanait, A Borisevich, A Sergeev, S Treichler, M Matheson APS March Meeting Abstracts 2019, B22. 008, 2019 | | 2019 |