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Deep clustering: On the link between discriminative models and K-means
v1v2 (latest)

Deep clustering: On the link between discriminative models and K-means

9 October 2018
Mohammed Jabi
M. Pedersoli
A. Mitiche
Ismail Ben Ayed
ArXiv (abs)PDFHTML

Papers citing "Deep clustering: On the link between discriminative models and K-means"

45 / 45 papers shown
Title
A Tutorial on Discriminative Clustering and Mutual Information
A Tutorial on Discriminative Clustering and Mutual Information
Louis Ohl
Pierre-Alexandre Mattei
F. Precioso
112
0
0
07 May 2025
Approximate Size Targets Are Sufficient for Accurate Semantic Segmentation
Xingye Fan
Zhongwen
Z. Zhang
Yuri Boykov
VLM
106
0
0
10 Mar 2025
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Shambhavi Mishra
Julio Silva-Rodrıguez
Ismail ben Ayed
M. Pedersoli
Jose Dolz
VLM
138
1
0
26 Nov 2024
Deep Clustering via Distribution Learning
Deep Clustering via Distribution Learning
Guanfang Dong
Zijie Tan
Chenqiu Zhao
Anup Basu
OOD
93
0
0
06 Aug 2024
Deep Embedding Clustering Driven by Sample Stability
Deep Embedding Clustering Driven by Sample Stability
Zhanwen Cheng
Feijiang Li
Jieting Wang
Yuhua Qian
51
0
0
29 Jan 2024
ClusT3: Information Invariant Test-Time Training
ClusT3: Information Invariant Test-Time Training
G. A. V. Hakim
David Osowiechi
Mehrdad Noori
Milad Cheraghalikhani
Ismail Ben Ayed
Christian Desrosiers
TTAOOD
88
12
0
18 Oct 2023
Generalised Mutual Information: a Framework for Discriminative
  Clustering
Generalised Mutual Information: a Framework for Discriminative Clustering
Louis Ohl
Pierre-Alexandre Mattei
C. Bouveyron
Warith Harchaoui
Mickael Leclercq
Arnaud Droit
F. Precioso
28
3
0
06 Sep 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
89
13
0
01 Sep 2023
Task Adaptive Feature Transformation for One-Shot Learning
Task Adaptive Feature Transformation for One-Shot Learning
Imtiaz Masud Ziko
Freddy Lecue
Ismail Ben Ayed
VLM
59
1
0
13 Apr 2023
Collision Cross-entropy for Soft Class Labels and Deep Clustering
Collision Cross-entropy for Soft Class Labels and Deep Clustering
Z. Zhang
Yuri Boykov
56
1
0
13 Mar 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Hui Tang
Yaowei Wang
Kui Jia
OOD
60
44
0
23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Jikang Cheng
TTA
129
109
0
23 Feb 2023
Discriminative Entropy Clustering and its Relation to K-means and SVM
Discriminative Entropy Clustering and its Relation to K-means and SVM
Z. Zhang
Yuri Boykov
18
0
0
26 Jan 2023
Parametric Information Maximization for Generalized Category Discovery
Parametric Information Maximization for Generalized Category Discovery
Florent Chiaroni
Jose Dolz
Imtiaz Masud Ziko
A. Mitiche
Ismail Ben Ayed
83
18
0
01 Dec 2022
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
Sina Hajimiri
Malik Boudiaf
Ismail Ben Ayed
Jose Dolz
VLM
84
29
0
25 Nov 2022
Deep Clustering With Consensus Representations
Deep Clustering With Consensus Representations
Lukas Miklautz
Martin Teuffenbach
Pascal Weber
Rona Perjuci
Walid Durani
Christian Böhm
Claudia Plant
45
7
0
13 Oct 2022
Generalised Mutual Information for Discriminative Clustering
Generalised Mutual Information for Discriminative Clustering
Louis Ohl
Pierre-Alexandre Mattei
C. Bouveyron
Warith Harchaoui
Mickael Leclercq
Arnaud Droit
F. Precioso
40
6
0
12 Oct 2022
Simplex Clustering via sBeta with Applications to Online Adjustment of
  Black-Box Predictions
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions
Florent Chiaroni
Malik Boudiaf
A. Mitiche
Ismail Ben Ayed
70
0
0
30 Jul 2022
High-dimensional logistic entropy clustering
High-dimensional logistic entropy clustering
Edouard Genetay
Adrien Saumard
Rémi Coulaud
18
0
0
16 Dec 2021
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Yaoming Cai
Zijia Zhang
Yang Liu
Pedram Ghamisi
Kunping Li
Xiaobo Liu
Z. Cai
48
16
0
15 Nov 2021
Deep Attention-guided Graph Clustering with Dual Self-supervision
Deep Attention-guided Graph Clustering with Dual Self-supervision
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
74
25
0
10 Nov 2021
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Yin Zhao
Minquan Wang
Longjun Cai
OOD
118
10
0
13 Oct 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain
  Adaptation
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
144
248
0
08 Oct 2021
Self-Enhancing Multi-filter Sequence-to-Sequence Model
Self-Enhancing Multi-filter Sequence-to-Sequence Model
Yunhao Yang
Zhaokun Xue
Andrew Whinston
64
1
0
25 Sep 2021
Attention-driven Graph Clustering Network
Attention-driven Graph Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
GNN
120
106
0
12 Aug 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OODMedIm
190
71
0
06 Aug 2021
fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection
  for Clustering
fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection for Clustering
Xiao-Lei Zhang
25
0
0
05 Jul 2021
Enhancing the Analysis of Software Failures in Cloud Computing Systems
  with Deep Learning
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning
Domenico Cotroneo
L. Simone
Pietro Liguori
R. Natella
38
19
0
29 Jun 2021
Mutual-Information Based Few-Shot Classification
Mutual-Information Based Few-Shot Classification
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Pablo Piantanida
VLM
76
2
0
23 Jun 2021
Training Heterogeneous Features in Sequence to Sequence Tasks: Latent
  Enhanced Multi-filter Seq2Seq Model
Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq Model
Yunhao Yang
Zhaokun Xue
112
3
0
18 May 2021
Pseudo-supervised Deep Subspace Clustering
Pseudo-supervised Deep Subspace Clustering
Juncheng Lv
Zhao Kang
Xiao Lu
Zenglin Xu
80
115
0
08 Apr 2021
Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal
  Processing
Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing
Yunhao Yang
Yi Wang
Minh Nguyen
63
0
0
01 Apr 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
201
154
0
17 Mar 2021
Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised Domain Adaptation of Black-Box Source Models
Haojian Zhang
Yabin Zhang
Kui Jia
Lei Zhang
203
54
0
08 Jan 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
63
25
0
15 Dec 2020
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain
  Adaptation using Structurally Regularized Deep Clustering
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
Hui Tang
Xiatian Zhu
Ke Chen
Kui Jia
C. L. Philip Chen
53
25
0
08 Dec 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of
  Histology Images via Max-Min Uncertainty
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
81
54
0
14 Nov 2020
Transductive Information Maximization For Few-Shot Learning
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
José Dolz
Pablo Piantanida
Ismail Ben Ayed
VLM
83
79
0
25 Aug 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for
  Retinal Disease Diagnosis
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
Xiaomeng Li
M. Jia
Md Tauhidul Islam
Lequan Yu
Lei Xing
78
110
0
21 Jul 2020
Relation-Guided Representation Learning
Relation-Guided Representation Learning
Zhao Kang
Xiao Lu
Jian Liang
Kun Bai
Zenglin Xu
BDLOODAI4TS
63
49
0
11 Jul 2020
Source-Relaxed Domain Adaptation for Image Segmentation
Source-Relaxed Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OODMedIm
75
85
0
07 May 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang
Ke Chen
Kui Jia
CMLOOD
75
273
0
19 Mar 2020
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
62
54
0
26 Sep 2019
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an
  Autoencoded Embedding
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
Ryan McConville
Raúl Santos-Rodríguez
Robert Piechocki
I. Craddock
78
110
0
16 Aug 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards
  Centroids Construction
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction
Nairouz Mrabah
N. Khan
Riadh Ksantini
Z. Lachiri
90
64
0
23 Jan 2019
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