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Unsupervised Deep Embedding for Clustering Analysis

Unsupervised Deep Embedding for Clustering Analysis

19 November 2015
Junyuan Xie
Ross B. Girshick
Ali Farhadi
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Deep Embedding for Clustering Analysis"

26 / 26 papers shown
Title
MADCluster: Model-agnostic Anomaly Detection with Self-supervised Clustering Network
MADCluster: Model-agnostic Anomaly Detection with Self-supervised Clustering Network
Sangyong Lee
Subo Hwang
Dohoon Kim
30
0
0
22 May 2025
LANID: LLM-assisted New Intent Discovery
LANID: LLM-assisted New Intent Discovery
Lu Fan
Jiashu Pu
Rongsheng Zhang
Xiao-Ming Wu
88
2
0
31 Mar 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng
Tong Wang
Lele Fu
Sheng Huang
Chuan Chen
Tao Zhang
114
1
0
17 Feb 2025
Personalized Clustering via Targeted Representation Learning
Personalized Clustering via Targeted Representation Learning
Xiwen Geng
Suyun Zhao
Yixin Yu
Borui Peng
Pan Du
Hong Chen
Cuiping Li
Mengdie Wang
104
0
0
18 Dec 2024
Deep clustering using adversarial net based clustering loss
Deep clustering using adversarial net based clustering loss
Kart-Leong Lim
99
0
0
12 Dec 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Chuyu Zhang
Peiyan Gu
Xueyang Yu
Xuming He
117
0
0
17 Oct 2024
Organizing Unstructured Image Collections using Natural Language
Organizing Unstructured Image Collections using Natural Language
Mingxuan Liu
Zhun Zhong
Jun Li
Gianni Franchi
Subhankar Roy
Elisa Ricci
VLM
74
3
0
07 Oct 2024
Detecting Near-Duplicate Face Images
Detecting Near-Duplicate Face Images
Sudipta Banerjee
Arun Ross
CVBM
46
0
0
14 Aug 2024
Towards Calibrated Deep Clustering Network
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
79
1
0
04 Mar 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
61
0
0
27 Oct 2023
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
83
42
0
25 May 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
58
24
0
18 Mar 2022
Labelling unlabelled videos from scratch with multi-modal
  self-supervision
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki M. Asano
Mandela Patrick
Christian Rupprecht
Andrea Vedaldi
SSL
40
152
0
24 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
89
4,032
0
17 Jun 2020
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Mingxuan Yue
Yaguang Li
Haoze Yang
Ritesh Ahuja
Yao-Yi Chiang
Cyrus Shahabi
24
32
0
03 Mar 2020
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSL
VLM
47
132
0
06 Dec 2019
CNN-Based Joint Clustering and Representation Learning with Feature
  Drift Compensation for Large-Scale Image Data
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data
Chih-Chung Hsu
Chia-Wen Lin
SSL
44
128
0
19 May 2017
On orthogonality and learning recurrent networks with long term
  dependencies
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov
C. Trabelsi
Samuel Kadoury
C. Pal
ODL
58
239
0
31 Jan 2017
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
30
868
0
15 Oct 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
240
37,704
0
20 May 2016
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
144
14,703
0
20 Jun 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
172
15,825
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
174
26,091
0
11 Nov 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
128
12,384
0
24 Jun 2012
Building high-level features using large scale unsupervised learning
Building high-level features using large scale unsupervised learning
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
SSL
OffRL
CVBM
63
2,268
0
29 Dec 2011
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
144
10,497
0
01 Nov 2007
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