Certified Robustness of neural network
2020-10-22
关于certified robustness 工作整理
目标检测基础概念总结
2020-06-18
IoU,GIoU,NMS,MAP
正则化项L1，L2以及weight decay在SGD，Adam中的理解
2020-06-16
L1，L2正则化项防止过拟合
面试记录
2020-06-15
记录从研一暑假开始的找实习找工作之旅
Improving Adversarial Robustness Requires Revisiting Misclassified Examples[ICLR2020]
2020-05-14
Adversarial training with misclassified examples
MIT-IBM Watson AI Lab Certified Robustness 工作梳理
2020-03-25
CLEVER, Fast-Lin, Fast-Lip, CROWN, and CNN-Cert
Lipschitz-Margin Training 论文简析
2020-03-17
Lipschitz Margin
写在开头
2020-03-17
一个开始