Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
and Future

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future

23 October 2022

Guo-Jun Qi

Papers citing "Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future"

9 / 9 papers shown

Title
Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning Binqian Xu Xiangbo Shu Rui Yan Guosen Xie Yixiao Ge Mike Zheng Shou AAML 21 1 0 08 Apr 2023
Hyperbolic Contrastive Learning Yun Yue Fangzhou Lin Kazunori D Yamada Ziming Zhang SSL 25 17 0 02 Feb 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends Jie Gui Tuo Chen Jing Zhang Qiong Cao Zhe Sun Haoran Luo Dacheng Tao 16 117 0 13 Jan 2023
Adversarial Masking for Self-Supervised Learning Yuge Shi N. Siddharth Philip H. S. Torr Adam R. Kosiorek SSL 46 81 0 31 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,029 0 09 Mar 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016