Surrogate Gap Guided Sharpness-Aware Minimization (GSAM) implementation for keras/tensorflow 2
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Updated
Jul 13, 2023 - Python
Surrogate Gap Guided Sharpness-Aware Minimization (GSAM) implementation for keras/tensorflow 2
[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️
Worth-reading papers and related awesome resources on deep learning optimization algorithms. 值得一读的深度学习优化器论文与相关资源。
[TMLR] "Can You Win Everything with Lottery Ticket?" by Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang
Create animations for the optimization trajectory of neural nets
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
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