Neural Eigenfunctions Are Structured Representation Learners

Neural Eigenfunctions Are Structured Representation Learners

23 October 2022

Peng Cui

Jun Zhu

Papers citing "Neural Eigenfunctions Are Structured Representation Learners"

10 / 10 papers shown

Title
Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning Marina Munkhoeva Ivan V. Oseledets SSL 31 2 0 31 May 2023
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation Zhijie Deng Yucen Luo 24 6 0 06 Apr 2023
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 28 9 0 09 Feb 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 27 67 0 07 Feb 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 16 18 0 26 Jan 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen Liunian Harold Li Hao Tan Joey Tianyi Zhou Anna Rohrbach Kai-Wei Chang Z. Yao Kurt Keutzer CLIP VLM MLLM 199 405 0 13 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
For self-supervised learning, Rationality implies generalization, provably Yamini Bansal Gal Kaplun Boaz Barak OOD SSL 58 22 0 16 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,375 0 09 Mar 2020