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Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in
  Self-Supervised Learning

Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning

31 May 2023
Marina Munkhoeva
Ivan V. Oseledets
    SSL
ArXivPDFHTML

Papers citing "Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning"

6 / 6 papers shown
Title
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
45
0
0
17 Jan 2025
When can we Approximate Wide Contrastive Models with Neural Tangent
  Kernels and Principal Component Analysis?
When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
Gautham Govind Anil
P. Esser
D. Ghoshdastidar
31
1
0
13 Mar 2024
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
45
14
0
23 Oct 2022
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
178
182
0
13 Oct 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Spectral Inference Networks: Unifying Deep and Spectral Learning
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
49
40
0
06 Jun 2018
1