Alena Shilova

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Top Venues

IPDPS Workshops

Euro-Par Workshops

Publications

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 (2023)
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)
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 (2022)
Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour
Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR (2022)
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
MadPipe: Memory Aware Dynamic Programming Algorithm for Pipelined Model Parallelism. IPDPS Workshops (2022)
Alena Shilova
Memory Efficient Deep Neural Network Training. Euro-Par Workshops (2021)
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
Pipelined Model Parallelism: Complexity Results and Memory Considerations. Euro-Par (2021)
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
Efficient Combination of Rematerialization and Offloading for Training DNNs. NeurIPS (2021)
Olivier Beaumont, Julien Langou, Willy Quach, Alena Shilova
A Makespan Lower Bound for the Tiled Cholesky Factorization Based on ALAP Schedule. Euro-Par (2020)
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training. Euro-Par (2020)
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 (2019)
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 (2019)
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)