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Stochastic Neighbor Embedding under f-divergences

Stochastic Neighbor Embedding under f-divergences

3 November 2018
Daniel Jiwoong Im
Nakul Verma
K. Branson
    FedML
ArXiv (abs)PDFHTML

Papers citing "Stochastic Neighbor Embedding under f-divergences"

11 / 11 papers shown
Title
Random Forest Autoencoders for Guided Representation Learning
Random Forest Autoencoders for Guided Representation Learning
Adrien Aumon
Shuang Ni
Myriam Lizotte
Guy Wolf
Kevin R. Moon
Jake S. Rhodes
182
0
0
18 Feb 2025
Convergence analysis of t-SNE as a gradient flow for point cloud on a
  manifold
Convergence analysis of t-SNE as a gradient flow for point cloud on a manifold
Seonghyeon Jeong
Hau-tieng Wu
54
3
0
31 Jan 2024
Manifold learning: what, how, and why
Manifold learning: what, how, and why
M. Meilă
Hanyu Zhang
88
59
0
07 Nov 2023
Dimensionality Reduction using Elastic Measures
Dimensionality Reduction using Elastic Measures
J. Derek Tucker
Matthew T. Martinez
Jose M. Laborde
26
1
0
07 Sep 2022
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor
  Embedding
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
Tianyang Hu
Zhili Liu
Fengwei Zhou
Wei Cao
Weiran Huang
SSL
105
28
0
30 May 2022
Towards a comprehensive visualization of structure in data
Towards a comprehensive visualization of structure in data
Joan Garriga
F. Bartumeus
15
2
0
30 Nov 2021
Theoretical Foundations of t-SNE for Visualizing High-Dimensional
  Clustered Data
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai
Rong Ma
106
118
0
16 May 2021
Facilitate the Parametric Dimension Reduction by Gradient Clipping
Facilitate the Parametric Dimension Reduction by Gradient Clipping
Chien-Hsun Lai
Yu-Shuen Wang
15
0
0
30 Sep 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions:
  Tutorial and Survey
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
BDL
55
9
0
22 Sep 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings
Attraction-Repulsion Spectrum in Neighbor Embeddings
Jan Niklas Böhm
Philipp Berens
D. Kobak
104
54
0
17 Jul 2020
Heavy-tailed kernels reveal a finer cluster structure in t-SNE
  visualisations
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations
D. Kobak
G. Linderman
Stefan Steinerberger
Y. Kluger
Philipp Berens
86
38
0
15 Feb 2019
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