Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis

5 March 2021

Papers citing "Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis"

9 / 9 papers shown

Title
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning Kang Du Yu Xiang 25 0 0 10 Feb 2024
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning Zixin Wen Yuanzhi Li SSL 27 34 0 12 May 2022
Audio Self-supervised Learning: A Survey Shuo Liu Adria Mallol-Ragolta Emilia Parada-Cabeleiro Kun Qian Xingshuo Jing Alexander Kathan Bin Hu Bjoern W. Schuller SSL 35 106 0 02 Mar 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness Yue Xing Qifan Song Guang Cheng 14 4 0 14 Feb 2022
Understanding The Robustness of Self-supervised Learning Through Topic Modeling Zeping Luo Shiyou Wu C. Weng Mo Zhou Rong Ge OOD SSL 11 3 0 02 Feb 2022
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 21 105 0 01 Nov 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 279 0 12 Feb 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning Huixiang Luo Hao Cheng Fanxu Meng Yuting Gao Ke Li Mengdan Zhang Xing Sun 17 8 0 19 Jan 2021
For self-supervised learning, Rationality implies generalization, provably Yamini Bansal Gal Kaplun Boaz Barak OOD SSL 58 22 0 16 Oct 2020