Added Data Generation Arxiv paper reference #1273
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Added new paper to the references list and under data generation - https://arxiv.org/abs/2410.22110
haihabi
reviewed
Nov 20, 2024
README.md
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| @@ -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) | |||
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| [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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The reference here should be:
Gordon, O., Cohen, E., Habi, H. V., & Netzer, A., 2024. EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization, European Conference on Computer Vision Workshop 2024, Computational Aspects of Deep Learning (CADL)
haihabi
reviewed
Nov 20, 2024
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Outdated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) | |||
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| [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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| [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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Dikstein, L., Lapid, A., Netzer, A., & Habi, H. V., 2024. Data Generation for Hardware-Friendly Post-Training Quantization, Accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
lior-dikstein
approved these changes
Nov 24, 2024
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Added new paper to the references list and under data generation
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