Towards the Generalization of Contrastive Self-Supervised Learning

1 November 2021

Papers citing "Towards the Generalization of Contrastive Self-Supervised Learning"

22 / 22 papers shown

Title
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 37 2 0 03 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Eric Zimmermann Eugene Vorontsov Julian Viret Adam Casson Michal Zelechowski ... Razik Yousfi Thomas J. Fuchs Nicolò Fusi Siqi Liu Kristen Severson MedIm 31 27 0 01 Aug 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning Hanxun Huang R. Campello S. Erfani Xingjun Ma Michael E. Houle James Bailey 28 5 0 19 Jan 2024
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 28 4 0 09 Oct 2023
Image-based Geolocalization by Ground-to-2.5D Map Matching Mengjie Zhou Liu Liu Yiran Zhong Andrew Calway 29 3 0 11 Aug 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 30 87 0 02 Dec 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 19 56 0 15 Nov 2022
A picture of the space of typical learnable tasks Rahul Ramesh J. Mao Itay Griniasty Rubing Yang H. Teoh M. Transtrum J. Sethna Pratik Chaudhari SSL DRL 30 4 0 31 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 30 26 0 10 Oct 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 24 9 0 29 Sep 2022
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning Romain Cosentino Sarath Shekkizhar Mahdi Soltanolkotabi A. Avestimehr Antonio Ortega SSL 46 7 0 18 Sep 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 26 11 0 04 Aug 2022
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization Haolin Pan Yong Guo Qinyi Deng Hao-Fan Yang Yiqun Chen Jian Chen SSL 18 19 0 30 Jul 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning Zixin Wen Yuanzhi Li SSL 19 34 0 12 May 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning Mayee F. Chen Daniel Y. Fu A. Narayan Michael Zhang Zhao-quan Song Kayvon Fatahalian Christopher Ré SSL 11 46 0 15 Apr 2022
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap Yifei Wang Qi Zhang Yisen Wang Jiansheng Yang Zhouchen Lin 14 98 0 25 Mar 2022
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features N. Kalibhat Kanika Narang Hamed Firooz Maziar Sanjabi S. Feizi SSL 31 7 0 03 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 281 7,434 0 11 Nov 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 114 187 0 02 May 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis Jiaye Teng Weiran Huang Haowei He SSL 19 11 0 05 Mar 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,367 0 09 Mar 2020