#regularizing — Public Fediverse posts

'Regularizing Hard Examples Improves Adversarial Robustness', by Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon.

http://jmlr.org/papers/v26/22-1428.html

#adversarial #regularizing #robustness

'Regularizing Hard Examples Improves Adversarial Robustness', by Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon.

http://jmlr.org/papers/v26/22-1428.html

#adversarial #regularizing #robustness

'Regularizing Hard Examples Improves Adversarial Robustness', by Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon.

http://jmlr.org/papers/v26/22-1428.html

#adversarial #regularizing #robustness

'Regularizing Hard Examples Improves Adversarial Robustness', by Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon.

http://jmlr.org/papers/v26/22-1428.html

#adversarial #regularizing #robustness

'Regularizing Hard Examples Improves Adversarial Robustness', by Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon.

http://jmlr.org/papers/v26/22-1428.html

#adversarial #regularizing #robustness

'Label Alignment Regularization for Distribution Shift', by Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H.S. Torr, Yangchen Pan.

http://jmlr.org/papers/v25/23-0899.html

#regularization #regularizing #label