Your Contrastive Learning Is Secretly Doing Stochastic Neighbor
Embedding

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding

30 May 2022

Tianyang Hu

Papers citing "Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding"

13 / 13 papers shown

Title
Node Embeddings via Neighbor Embeddings Jan Niklas Böhm Marius Keute Alica Guzmán Sebastian Damrich Andrew Draganov D. Kobak GNN 57 0 0 31 Mar 2025
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction Mohammad Tariqul Islam Jason W. Fleischer 157 0 0 12 Mar 2025
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li Xiaoqi Wang Hong-You Chen Han-Wei Shen Wei-Lun Chao FedML 32 0 0 17 Sep 2024
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning Jiajun Ma Tianyang Hu Wenjia Wang 17 8 0 28 Jan 2023
Unsupervised visualization of image datasets using contrastive learning Jan Boehm Philipp Berens D. Kobak SSL 26 15 0 18 Oct 2022
Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu Jun Wang Wenjia Wang Zhenguo Li UQCV AAML 41 19 0 07 Dec 2021
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
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 21 106 0 01 Nov 2021
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
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 238 207 0 17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining Ceyuan Yang Zhirong Wu Bolei Zhou Stephen Lin ViT SSL 100 145 0 16 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020