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Alena SHILOVA

2 accepted papers

2022

Survey on Efficient Training of Large Neural Networks

IJCAI 2022poster

Modern Deep Neural Networks (DNNs) require significant memory to store weight, activations, and other intermediate tensors during training. Hence, many models don’t fit one GPU device or can be trained using only a small per-GPU batch size. This survey provides a systematic overview of the approache…

2021

Efficient Combination of Rematerialization and Offloading for Training DNNs

NeurIPS 2021poster

Rematerialization and offloading are two well known strategies to save memory during the training phase of deep neural networks, allowing data scientists to consider larger models, batch sizes or higher resolution data. Rematerialization trades memory for computation time, whereas Offloading trades…

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