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2020 – today
- 2024
[j1]Olivier Beaumont
, Lionel Eyraud-Dubois, Julien Herrmann, Alexis Joly, Alena Shilova:
Optimal Re-Materialization Strategies for Heterogeneous Chains: How to Train Deep Neural Networks with Limited Memory. ACM Trans. Math. Softw. 50(2): 10:1-10:38 (2024)- 2023
- [i5]Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Centa de Medeiros, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux:
AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents. CoRR abs/2306.10882 (2023) - 2022
- [c8]Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont:
Survey on Efficient Training of Large Neural Networks. IJCAI 2022: 5494-5501 - [c7]Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova:
MadPipe: Memory Aware Dynamic Programming Algorithm for Pipelined Model Parallelism. IPDPS Workshops 2022: 1063-1073 - [i4]Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont:
Survey on Large Scale Neural Network Training. CoRR abs/2202.10435 (2022) - [i3]Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour:
Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR abs/2210.08503 (2022) - 2021
- [b1]Alena Shilova:
Memory Saving Strategies for Deep Neural Network Training. (Stratégies pour économiser la mémoire lors de l'apprentissage dans les réseaux neuronaux profonds). University of Bordeaux, France, 2021 - [c6]Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova:
Pipelined Model Parallelism: Complexity Results and Memory Considerations. Euro-Par 2021: 183-198 - [c5]Alena Shilova:
Memory Efficient Deep Neural Network Training. Euro-Par Workshops 2021: 515-519 - [c4]Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova:
Efficient Combination of Rematerialization and Offloading for Training DNNs. NeurIPS 2021: 23844-23857 - 2020
- [c3]Olivier Beaumont, Julien Langou, Willy Quach, Alena Shilova:
A Makespan Lower Bound for the Tiled Cholesky Factorization Based on ALAP Schedule. Euro-Par 2020: 134-150 - [c2]Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova:
Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training. Euro-Par 2020: 151-166
2010 – 2019
- 2019
- [c1]Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman:
Training on the Edge: The why and the how. IPDPS Workshops 2019: 899-903 - [i2]Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman:
Training on the Edge: The why and the how. CoRR abs/1903.03051 (2019) - [i1]Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Alexis Joly, Alena Shilova:
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory. CoRR abs/1911.13214 (2019)
Coauthor Index
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