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Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label
  Rates

Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

19 June 2020
Jeff Calder
Brendan Cook
Matthew Thorpe
D. Slepčev
ArXivPDFHTML

Papers citing "Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates"

19 / 19 papers shown
Title
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes
Simon Urbainczyk
Aretha L. Teckentrup
Jonas Latz
GP
17
0
0
16 May 2025
Graph-based Semi-supervised and Unsupervised Methods for Local Clustering
Graph-based Semi-supervised and Unsupervised Methods for Local Clustering
Zhaiming Shen
Sung Ha Kang
35
0
0
28 Apr 2025
Why the Metric Backbone Preserves Community Structure
Why the Metric Backbone Preserves Community Structure
Maximilien Dreveton
Charbel Chucri
Matthias Grossglauser
Patrick Thiran
54
0
0
31 Dec 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
Gokul Bhusal
Kevin Miller
Ekaterina Merkurjev
38
0
0
14 Sep 2024
A mean curvature flow arising in adversarial training
A mean curvature flow arising in adversarial training
Leon Bungert
Tim Laux
Kerrek Stinson
AAML
35
3
0
22 Apr 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised
  Learning under the Low Density Separation Assumption
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov
Malik Tiomoko
Aladin Virmaux
33
5
0
20 Oct 2023
Novel Batch Active Learning Approach and Its Application to Synthetic
  Aperture Radar Datasets
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
James Chapman
Bohan Chen
Zheng Tan
Jeff Calder
Kevin Miller
Andrea L. Bertozzi
11
8
0
19 Jul 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data
  Classification
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Gokul Bhusal
Ekaterina Merkurjev
Guo-Wei Wei
28
1
0
25 May 2023
Consistency of Fractional Graph-Laplacian Regularization in
  Semi-Supervised Learning with Finite Labels
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels
Adrien Weihs
Matthew Thorpe
8
2
0
14 Mar 2023
Few-shot Node Classification with Extremely Weak Supervision
Few-shot Node Classification with Extremely Weak Supervision
Song Wang
Yushun Dong
Kaize Ding
Chen Chen
Jundong Li
21
19
0
06 Jan 2023
Large data limit of the MBO scheme for data clustering: convergence of
  the dynamics
Large data limit of the MBO scheme for data clustering: convergence of the dynamics
Tim Laux
Jona Lelmi
37
7
0
13 Sep 2022
Joint reconstruction-segmentation on graphs
Joint reconstruction-segmentation on graphs
Jeremy Budd
Y. Gennip
J. Latz
S. Parisotto
Carola-Bibiane Schönlieb
24
3
0
11 Aug 2022
Label Efficient Regularization and Propagation for Graph Node
  Classification
Label Efficient Regularization and Propagation for Graph Node Classification
Tian Xie
Rajgopal Kannan
C.-C. Jay Kuo
27
2
0
19 Apr 2022
Digital Fingerprinting of Microstructures
Digital Fingerprinting of Microstructures
Michael White
Alexander Tarakanov
C. Race
P. Withers
K. Law
34
7
0
25 Mar 2022
Semi-supervised Learning on Large Graphs: is Poisson Learning a
  Game-Changer?
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?
Canh Hao Nguyen
SSL
15
2
0
28 Feb 2022
Eikonal depth: an optimal control approach to statistical depths
Eikonal depth: an optimal control approach to statistical depths
M. Molina-Fructuoso
Ryan W. Murray
MDE
26
4
0
14 Jan 2022
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
27
14
0
26 Aug 2021
Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan
Shirui Pan
Jian Yang
Chen Gong
SSL
22
137
0
15 Sep 2020
Improved spectral convergence rates for graph Laplacians on
  epsilon-graphs and k-NN graphs
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs
Jeff Calder
Nicolas García Trillos
35
40
0
29 Oct 2019
1