【读书笔记】Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization 继续分享模型轻量化的文章,本文主要提出一种同时做fine-tuning和压缩预训练模型的方法。 本文主要的创新点如下: 1. Fine-pruning通过联合fine-tuning和压缩预训练网络来获得针对目标领域的轻量化网络...
transitory pruning 初步修剪 renewal pruning 更新修剪 相似单词 pruning n. 1.修剪;删除 2.(常复数)剪下的残枝 fine adj. 1. 美好的,优秀的,优良的,杰出的 2. 纤细的 3. 细致的;细微的 4. 晴朗的,无雨的 5. 健康的,舒适的 6. 过分夸饰的,炫耀的 7. 可怕的,糟透的 8. self pruning 自己...
尽管pruning在三种后门攻击上是成功的,文章设计了更强大的pruning-aware攻击(将clean和backdoor behavior集中到同样的神经元上),这可以规避Pruning防御。 最后为了防御这种pruning-aware攻击,文章设计了防御方案,可以执行fine-tuning,这是在干净的训练集上进行一小部分的局部重训练。尽管fine-tuning提供了一定程度的保护,文...
fine pruning 精剪相关短语 spring bed (剪毛机的) 弹性托板 keeping the centre of tree open (剪树) 使中间透光 snap shears (剪切钢材前端) 快速飞剪 相关阅读 便捷的介词用法大全 悲伤时你该说些什么 too和enough该怎么用 7招教你做好笔记 经验分享:你的四六级备考姿势对了吗? 常用英语 ...
"Liu, Kang, Brendan Dolan-Gavitt, and Siddharth Garg. "Fine-pruning: Defending against backdooring attacks on deep neural networks." Research in Attacks, Intrusions, and Defenses: 21st International Symposium, RAID 2018, Heraklion, Crete, Greece, September 10-12, 2018, Proceedings 21. Springer ...
K. Liu, B. Dolan-Gavitt, and S. Garg, "Fine-pruning: Defending against backdooring attacks on deep neural networks," in Proc. of RAID, 2018.Liu, K., Dolan-Gavitt, B., Garg, S.: Fine-pruning: Defending against backdooring attacks on deep neural networks. Lecture Notes in Computer ...
您好,我想請教一下 我使用 prune.py 做剪枝後的 mAP 是 0.72 但是我將他 fine-tune 時,mAP 下降到幾乎為 0 了,請問是哪邊有錯誤嗎? 謝謝。 我執行的指令如下: python train.py --cfg ../prune_0.1_Person_detection/prune_0.1_cfg/prune_0.1_yolov4-tiny-obj.cfg --weigh
Pruning Pre-trained Language Models Without Fine-Tuning Overview In this work, we argue fine-tuning is redundant for first-order pruning, since first-order pruning is sufficient to converge PLMs to downstream tasks without fine-tuning. Under this motivation, we propose Static Model Pruning (SMP),...
We design a new pruning-aware backdoor attack that, unlike prior attacks in literature, ensures that clean and backdoor inputs activate the same neurons, thus making backdoors harder to detect. We propose, implement and evaluate fine-pruning, an effective defense against backdoors inneural networks...
Conventional NAS-based pruning algorithms aim to find the sub-network with the best validation performance. However, validation performance does not successfully represent test performance, i.e., potential performance. Also, although fine-tuning the pruned network to restore the performance drop is an...