Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism

4 March 2023

Papers citing "Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism"

8 / 8 papers shown

Title
A Probabilistic Model for Self-Supervised Learning Maximilian Fleissner P. Esser D. Ghoshdastidar SSL BDL 91 1 0 22 Jan 2025
Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis Euna Jung Jaeill Kim Jungmin Ko Jinwoo Park Wonjong Rhee 30 0 0 18 May 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 23 0 0 22 Feb 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning Hanxun Huang R. Campello S. Erfani Xingjun Ma Michael E. Houle James Bailey 24 5 0 19 Jan 2024
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick Pierre Harvey Richemond Allison C. Tam Yunhao Tang Florian Strub Bilal Piot Felix Hill SSL 18 9 0 09 Feb 2023
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 107 163 0 02 May 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
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 130 258 0 12 Feb 2021