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Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet
  Energy
v1v2 (latest)

Joint Feature and Differentiable k k k-NN Graph Learning using Dirichlet Energy

21 May 2023
Lei Xu
Lei Chen
Rong Wang
Feiping Nie
Xuelong Li
ArXiv (abs)PDFHTML

Papers citing "Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy"

7 / 7 papers shown
Title
Where to Pay Attention in Sparse Training for Feature Selection?
Where to Pay Attention in Sparse Training for Feature Selection?
Ghada Sokar
Zahra Atashgahi
Mykola Pechenizkiy
Decebal Constantin Mocanu
71
19
0
26 Nov 2022
Differentiable Ranks and Sorting using Optimal Transport
Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi
O. Teboul
Jean-Philippe Vert
OT
84
159
0
28 May 2019
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
229
2,151
0
01 Mar 2018
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
363
5,388
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
200
2,537
0
02 Nov 2016
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
138
3,984
0
31 Oct 2012
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,544
0
01 Nov 2007
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