2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
RUSH: Robust Contrastive Learning via Randomized Smoothing
Yijiang Pang, Boyang Liu, Jiayu Zhou
Recently, adversarial training has been incorporated in self-supervised contrastive pre-training to augment label efficiency with exciting adversarial robustness. However, the robu…
cs.LG2021★ 2 cited
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Boyang Liu, Mengying Sun, Ding Wang +2
Training deep neural models in the presence of corrupted supervision is challenging as the corrupted data points may significantly impact the generalization performance. To allevia…