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Showing results 1 to 6 of 6

1
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness

Zhang, Chaoning; Zhang, Kang; Zhang, Chenshuang; Niu, Axi; Feng, Jiu; Yoo, Chang D.; Kweon, In-So, European Conference on Computer Vision, ECCV 2022, pp.725 - 742, Springer Nature Switzerland, 2022-10

2
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo

Zhang, Chaoning; Zhang, Kang; Pham, Trung X; Niu, Axi; Qiao, Zhinan; Yoo, Chang-Dong; Kweon, In-So, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.14421 - 14430, IEEE, 2022-06

3
HOW DOES SIMSIAM AVOID COLLAPSE WITHOUT NEGATIVE SAMPLES? A UNIFIED UNDERSTANDING WITH SELF-SUPERVISED CONTRASTIVE LEARNING

Zhang, Chaoning; Zhang, Kang; Zhang, Chenshuang; Pham, Trung X; Yoo, Chang-Dong; Kweon, In-So, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04

4
How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL

Zhang, Chaoning; Zhang, Kang; Yoo, Chang-Dong; Kweon, In-So, The International Conference on Learning Representations, ICLR 2022, The International Conference on Learning Representations (ICLR), 2022-04-27

5
Investigating Top-k White-Box and Transferable Black-box Attack

Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Cho, Jae Won; Zhang, Kang; Kweon, In So, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.15064 - 15073, Computer Vision Foundation, IEEE Computer Society, 2022-06-24

6
Self-Supervised Visual Representation Learning via Residual Momentum

Pham, Trung Xuan; Niu, Axi; Zhang, Kang; Jin, Tee Joshua Tian; Hong, Ji Woo; Yoo, Chang-Dong, IEEE ACCESS, v.11, pp.116706 - 116720, 2023

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