| A critical look at the evaluation of GNNs under heterophily: Are we really making progress? O Platonov, D Kuznedelev, M Diskin, A Babenko, L Prokhorenkova arXiv preprint arXiv:2302.11640, 2023 | 127 | 2023 |
| Distributed deep learning in open collaborations M Diskin, A Bukhtiyarov, M Ryabinin, L Saulnier, A Sinitsin, D Popov, ... Advances in Neural Information Processing Systems 34, 7879-7897, 2021 | 46 | 2021 |
| Swarm parallelism: Training large models can be surprisingly communication-efficient M Ryabinin, T Dettmers, M Diskin, A Borzunov International Conference on Machine Learning, 29416-29440, 2023 | 15 | 2023 |
| Distributed methods with compressed communication for solving variational inequalities, with theoretical guarantees A Beznosikov, P Richtárik, M Diskin, M Ryabinin, A Gasnikov Advances in Neural Information Processing Systems 35, 14013-14029, 2022 | 14 | 2022 |
| Secure distributed training at scale E Gorbunov, A Borzunov, M Diskin, M Ryabinin International Conference on Machine Learning, 7679-7739, 2022 | 14 | 2022 |
| Training Transformers Together A Borzunov, M Ryabinin, T Dettmers, Q Lhoest, L Saulnier, M Diskin, ... NeurIPS 2021 Competitions and Demonstrations Track, 335-342, 2022 | 9 | 2022 |
Max RyabininTogether AI在 together.ai 的电子邮件经过验证
