Alena Shilova

According to our database, Alena Shilova authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimal Re-Materialization Strategies for Heterogeneous Chains: How to Train Deep Neural Networks with Limited Memory.

Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Alexis Joly, Alena Shilova

ACM Trans. Math. Softw., June, 2024

2023

AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents.

Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Centa de Medeiros, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux

CoRR, 2023

2022

Entropy Regularized Reinforcement Learning with Cascading Networks.

Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour

CoRR, 2022

Survey on Large Scale Neural Network Training.

Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont

CoRR, 2022

MadPipe: Memory Aware Dynamic Programming Algorithm for Pipelined Model Parallelism.

Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Survey on Efficient Training of Large Neural Networks.

Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Memory Saving Strategies for Deep Neural Network Training. (Stratégies pour économiser la mémoire lors de l'apprentissage dans les réseaux neuronaux profonds).

Alena Shilova

PhD thesis, 2021

Efficient Combination of Rematerialization and Offloading for Training DNNs.

Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Memory Efficient Deep Neural Network Training.

Alena Shilova

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

Pipelined Model Parallelism: Complexity Results and Memory Considerations.

Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020

A Makespan Lower Bound for the Tiled Cholesky Factorization Based on ALAP Schedule.

Olivier Beaumont, Julien Langou, Willy Quach, Alena Shilova

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training.

Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019

Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory.

Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Alexis Joly, Alena Shilova

CoRR, 2019

Training on the Edge: The why and the how.

Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019