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Added Data Generation Arxiv paper reference #1273

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Added new paper to the references list and under data generation

Pull Request Description:

Checklist before requesting a review:

  • I set the appropriate labels on the pull request.
  • I have added/updated the release note draft (if necessary).
  • I have updated the documentation to reflect my changes (if necessary).
  • All function and files are well documented.
  • All function and classes have type hints.
  • There is a licenses in all file.
  • The function and variable names are informative.
  • I have checked for code duplications.
  • I have added new unittest (if necessary).

Added new paper to the references list and under data generation

- https://arxiv.org/abs/2410.22110
@ofirgo ofirgo requested review from lior-dikstein and removed request for ofirgo November 20, 2024 13:14
README.md Outdated
@@ -210,3 +211,5 @@ MCT is licensed under Apache License Version 2.0. By contributing to the project
[3] [TORCHVISION.MODELS](https://pytorch.org/vision/stable/models.html)

[4] Gordon, O., Cohen, E., Habi, H. V., & Netzer, A., 2024. [EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization. arXiv preprint](https://arxiv.org/abs/2309.11531)
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@haihabi haihabi Nov 20, 2024

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README.md Outdated
@@ -210,3 +211,5 @@ MCT is licensed under Apache License Version 2.0. By contributing to the project
[3] [TORCHVISION.MODELS](https://pytorch.org/vision/stable/models.html)

[4] Gordon, O., Cohen, E., Habi, H. V., & Netzer, A., 2024. [EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization. arXiv preprint](https://arxiv.org/abs/2309.11531)

[5] Dikstein, L., Lapid, A., Habi, H. V., & Netzer, A., 2024. [Data Generation for Hardware-Friendly Post-Training Quantization](https://arxiv.org/abs/2410.22110)
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