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andreped authored Jan 21, 2024
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22 changes: 22 additions & 0 deletions paper/paper.bib
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@misc{tensorflow2015abadi,
title={{TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems}},
url={https://www.tensorflow.org/},
note={Software available from tensorflow.org},
author={
Mart\'{\i}n~Abadi and
Ashish~Agarwal and
Paul~Barham and others},
year={2015},
}

@software{falcon2023lightning,
author = {Falcon, William and others},
title = {{PyTorch Lightning}},
month = mar,
year = 2023,
publisher = {Zenodo},
version = {2.0.1},
doi = {10.5281/zenodo.7786025},
url = {https://doi.org/10.5281/zenodo.7786025}
}

@article{10.3389/fmed.2022.971873,
author={Pedersen, André and Smistad, Erik and Rise, Tor V. and Dale, Vibeke G. and Pettersen, Henrik S. and Nordmo, Tor-Arne S. and Bouget, David and Reinertsen, Ingerid and Valla, Marit},
title={H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images},
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2 changes: 1 addition & 1 deletion paper/paper.md
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Expand Up @@ -39,7 +39,7 @@ A popular approach to counter this problem, is to utilize technique called gradi

# Statement of need

Despite existing open-source implementation of gradient accumulation in various frameworks, TensorFlow has yet to offer a seemless and easy to use solution for gradient accumulation. To the best of our knowledge, `GradientAccumulator` is the first open-source Python package to enable gradient accumulation to be seamlessly added to TensorFlow model training pipelines.
Despite existing open-source implementation of gradient accumulation in various frameworks, TensorFlow [@tensorflow2015abadi] has yet to offer a seemless and easy to use solution for gradient accumulation. To the best of our knowledge, `GradientAccumulator` is the first open-source Python package to enable gradient accumulation to be seamlessly added to TensorFlow model training pipelines.


GradientAccumulator has already been used in several research studies [@pedersen2023h2gnet; @helland2023postopglioblastoma].
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