| Horovod: fast and easy distributed deep learning in TensorFlow A Sergeev, M Del Balso arXiv preprint arXiv:1802.05799, 2018 | 1036 | 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 | 713 | 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 | 172 | 2018 |
| fast and easy distributed deep learning in TensorFlow A Sergeev, MH Del Balso arXiv preprint arXiv:1802.05799, 2018 | 56 | 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 | 27 | 2019 |
| 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 | 27 | 2018 |
| Fast and easy distributed deep learning in TensorFlow. arXiv 2018 A Sergeev, MH Del Balso arXiv preprint arXiv:1802.05799, 2020 | 24 | 2020 |
| Meet Horovod: Uber’s open source distributed deep learning framework for tensorflow A Sergeev, MD Balso Uber Engineering Blog, 2017 | 17 | 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 | 4 | 2022 |
| 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 | 3 | 2022 |
| 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 |
