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pro vyhledávání: '"Robroek, Ties"'
Training deep learning models is a repetitive and resource-intensive process. Data scientists often train several models before landing on set of parameters (e.g., hyper-parameter tuning), model architecture (e.g., neural architecture search), among
Externí odkaz:
http://arxiv.org/abs/2409.18749
Autor:
Böther, Maximilian, Robroek, Ties, Gsteiger, Viktor, Holzinger, Robin, Ma, Xianzhe, Tözün, Pınar, Klimovic, Ana
In real-world machine learning (ML) pipelines, datasets are continuously growing. Models must incorporate this new training data to improve generalization and adapt to potential distribution shifts. The cost of model retraining is proportional to how
Externí odkaz:
http://arxiv.org/abs/2312.06254
Deep learning training is an expensive process that extensively uses GPUs, but not all model training saturates modern powerful GPUs. Multi-Instance GPU (MIG) is a new technology introduced by NVIDIA that can partition a GPU to better-fit workloads t
Externí odkaz:
http://arxiv.org/abs/2209.06018