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SpectralNet: Spectral Clustering using Deep Neural Networks

SpectralNet: Spectral Clustering using Deep Neural Networks

4 January 2018
Uri Shaham
Kelly P. Stanton
Henry Li
B. Nadler
Ronen Basri
Y. Kluger
    GNN
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Papers citing "SpectralNet: Spectral Clustering using Deep Neural Networks"

36 / 36 papers shown
Title
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
57
0
0
03 Nov 2024
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Zijie Song
Zhenzhen Hu
Richang Hong
SSL
51
0
0
27 Oct 2023
Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and
  Clustering
Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and Clustering
J. Thunberg
Florian Bernard
23
1
0
20 Oct 2023
Spectral Clustering on Large Datasets: When Does it Work? Theory from
  Continuous Clustering and Density Cheeger-Buser
Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser
T. Chu
Gary Miller
N. Walkington
26
0
0
11 May 2023
Deep Clustering with a Constraint for Topological Invariance based on
  Symmetric InfoNCE
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE
Yuhui Zhang
Yuichiro Wada
Hiroki Waida
Kaito Goto
Yusaku Hino
Takafumi Kanamori
32
3
0
06 Mar 2023
Random projection tree similarity metric for SpectralNet
Random projection tree similarity metric for SpectralNet
Mashaan Alshammari
J. Stavrakakis
Adel F. Ahmed
M. Takatsuka
36
0
0
25 Feb 2023
Refining a $k$-nearest neighbor graph for a computationally efficient
  spectral clustering
Refining a kkk-nearest neighbor graph for a computationally efficient spectral clustering
Mashaan Alshammari
J. Stavrakakis
M. Takatsuka
32
40
0
22 Feb 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
Pierre Harvey Richemond
Allison C. Tam
Yunhao Tang
Florian Strub
Bilal Piot
Felix Hill
SSL
36
9
0
09 Feb 2023
Graph Laplacian for Semi-Supervised Learning
Graph Laplacian for Semi-Supervised Learning
O. Streicher
Guy Gilboa
40
3
0
12 Jan 2023
Total Variation Graph Neural Networks
Total Variation Graph Neural Networks
Jonas Hansen
F. Bianchi
35
12
0
11 Nov 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
50
101
0
09 Oct 2022
Semantic-Enhanced Image Clustering
Semantic-Enhanced Image Clustering
Shao-Qian Cai
Li-qing Qiu
Xiaojun Chen
Qin Zhang
Long Chen
VLM
39
14
0
21 Aug 2022
SpecNet2: Orthogonalization-free spectral embedding by neural networks
SpecNet2: Orthogonalization-free spectral embedding by neural networks
Ziyu Chen
Yingzhou Li
Xiuyuan Cheng
26
4
0
14 Jun 2022
Understanding the Generalization Performance of Spectral Clustering
  Algorithms
Understanding the Generalization Performance of Spectral Clustering Algorithms
Shaojie Li
Shengqi Ouyang
Yong Liu
33
2
0
30 Apr 2022
Top-Down Deep Clustering with Multi-generator GANs
Top-Down Deep Clustering with Multi-generator GANs
Daniel de Mello
Renato M. Assunção
Fabricio Murai
26
17
0
06 Dec 2021
Deep Unsupervised Feature Selection by Discarding Nuisance and
  Correlated Features
Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features
Uri Shaham
Ofir Lindenbaum
Jonathan Svirsky
Y. Kluger
19
24
0
11 Oct 2021
Learning a Self-Expressive Network for Subspace Clustering
Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang
Chong You
René Vidal
Chun-Guang Li
36
44
0
08 Oct 2021
Self-Supervised Metric Learning With Graph Clustering For Speaker
  Diarization
Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization
Prachi Singh
Sriram Ganapathy
SSL
31
7
0
14 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
53
18
0
21 Jul 2021
Learning the Precise Feature for Cluster Assignment
Learning the Precise Feature for Cluster Assignment
Yanhai Gan
Xinghui Dong
Huiyu Zhou
Feng Gao
Junyu Dong
33
4
0
11 Jun 2021
Supporting Clustering with Contrastive Learning
Supporting Clustering with Contrastive Learning
Dejiao Zhang
Feng Nan
Xiaokai Wei
Shang-Wen Li
Henghui Zhu
Kathleen McKeown
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
43
197
0
24 Mar 2021
A Framework for Deep Constrained Clustering
A Framework for Deep Constrained Clustering
Hongjing Zhang
Tianyang Zhan
Sugato Basu
Ian Davidson
24
31
0
07 Jan 2021
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Dissimilarity Mixture Autoencoder for Deep Clustering
Dissimilarity Mixture Autoencoder for Deep Clustering
Juan S. Lara
Fabio A. González
22
5
0
15 Jun 2020
Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to
  Heteroskedastic Noise
Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise
Boris Landa
Ronald R. Coifman
Y. Kluger
23
23
0
31 May 2020
Adversarial Attack on Community Detection by Hiding Individuals
Adversarial Attack on Community Detection by Hiding Individuals
Jia Li
Honglei Zhang
Zhichao Han
Yu Rong
Hong Cheng
Junzhou Huang
AAML
25
87
0
22 Jan 2020
Speaker diarization using latent space clustering in generative
  adversarial network
Speaker diarization using latent space clustering in generative adversarial network
Monisankha Pal
Manoj Kumar
Raghuveer Peri
Tae Jin Park
So Hyun Kim
C. Lord
Somer Bishop
Shrikanth Narayanan
30
20
0
24 Oct 2019
Discriminative Neural Clustering for Speaker Diarisation
Discriminative Neural Clustering for Speaker Diarisation
Qiujia Li
Florian Kreyssig
Chao Zhang
P. Woodland
11
44
0
22 Oct 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
194
0
18 Oct 2019
Deep Kernel Learning for Clustering
Deep Kernel Learning for Clustering
Chieh-Tsai Wu
Zulqarnain Khan
Yale Chang
Stratis Ioannidis
Jennifer Dy
113
13
0
09 Aug 2019
Variational Fair Clustering
Variational Fair Clustering
Imtiaz Masud Ziko
Eric Granger
Jing Yuan
Ismail Ben Ayed
30
13
0
19 Jun 2019
Big-Data Clustering: K-Means or K-Indicators?
Big-Data Clustering: K-Means or K-Indicators?
Feiyu Chen
Yuchen Yang
Liwei Xu
Taiping Zhang
Yin Zhang
19
4
0
03 Jun 2019
Deep Spectral Clustering using Dual Autoencoder Network
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang
Cheng Deng
Feng Zheng
Junchi Yan
Wen Liu
32
249
0
30 Apr 2019
A Framework for Deep Constrained Clustering -- Algorithms and Advances
A Framework for Deep Constrained Clustering -- Algorithms and Advances
Hongjing Zhang
Sugato Basu
Ian Davidson
32
47
0
29 Jan 2019
Towards Fair Deep Clustering With Multi-State Protected Variables
Towards Fair Deep Clustering With Multi-State Protected Variables
Bokun Wang
Ian Davidson
FaML
FedML
28
22
0
29 Jan 2019
Spectral Feature Transformation for Person Re-identification
Spectral Feature Transformation for Person Re-identification
Chuanchen Luo
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
34
124
0
28 Nov 2018
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