Co-occurring keywords · papers mentioning both
dimensionality reduction
(8)
data visualization
(4)
t-distributed stochastic neighbor embedding
(2)
nonlinear embedding
(2)
embedding similarity
(1)
fixed-point optimization
(1)
maximum likelihood estimation
(1)
unsupervised feature selection
(1)
low-dimensional embedding
(1)
unsupervised classification
(1)
Papers
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
ICLR 2023
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract)
IJCAI 2022
Registration of Human Point Set Using Automatic Key Point Detection and Region-Aware Features
WACV 2022
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction
NeurIPS 2020
See without looking: joint visualization of sensitive multi-site datasets
IJCAI 2017
Unsupervised Feature Selection by Preserving Stochastic Neighbors
AISTATS 2016
A fast, universal algorithm to learn parametric nonlinear embeddings
NeurIPS 2015
Linear-time training of nonlinear low-dimensional embeddings
AISTATS 2014
Optimization Equivalence of Divergences Improves Neighbor Embedding
ICML 2014
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
ICML 2013
Generative Modeling for Maximizing Precision and Recall in Information Visualization
AISTATS 2011
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
NeurIPS 2009
Visualizing Data using t-SNE
JMLR 2008