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

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

9 October 2018
Mohammed Jabi
M. Pedersoli
A. Mitiche
Ismail Ben Ayed
ArXivPDFHTML

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

26 / 26 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
60
0
0
07 May 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
95
1
0
26 Nov 2024
Deep Embedding Clustering Driven by Sample Stability
Deep Embedding Clustering Driven by Sample Stability
Zhanwen Cheng
Feijiang Li
Jieting Wang
Yuhua Qian
36
0
0
29 Jan 2024
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
37
12
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
42
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
23
0
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
30
43
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
58
97
0
23 Feb 2023
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
63
9
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
38
242
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
45
1
0
25 Sep 2021
Attention-driven Graph Clustering Network
Attention-driven Graph Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
GNN
43
103
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
OOD
MedIm
137
67
0
06 Aug 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
36
18
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
40
2
0
23 Jun 2021
Pseudo-supervised Deep Subspace Clustering
Pseudo-supervised Deep Subspace Clustering
Juncheng Lv
Zhao Kang
Xiao Lu
Zenglin Xu
42
111
0
08 Apr 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
38
146
0
17 Mar 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
44
25
0
15 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
29
53
0
14 Nov 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
31
109
0
21 Jul 2020
Relation-Guided Representation Learning
Relation-Guided Representation Learning
Zhao Kang
Xiao Lu
Jian Liang
Kun Bai
Zenglin Xu
BDL
OOD
AI4TS
37
48
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
OOD
MedIm
38
84
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
CML
OOD
31
270
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
29
53
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
25
107
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
28
64
0
23 Jan 2019
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