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2006.04535
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Improving k-Means Clustering Performance with Disentangled Internal Representations
5 June 2020
Abien Fred Agarap
A. Azcarraga
DRL
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Papers citing
"Improving k-Means Clustering Performance with Disentangled Internal Representations"
14 / 14 papers shown
Title
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
262
30,123
0
01 Mar 2022
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
385
10,591
0
17 Feb 2020
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
Ryan McConville
Raúl Santos-Rodríguez
Robert Piechocki
I. Craddock
44
110
0
16 Aug 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
Nicholas Frosst
Nicolas Papernot
Geoffrey E. Hinton
48
160
0
05 Feb 2019
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee
Himanshu Asnani
Eugene Lin
Sreeram Kannan
GAN
46
337
0
10 Sep 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
154
9,409
0
09 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
278
8,878
0
25 Aug 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDL
DRL
69
732
0
16 Nov 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CE
ODL
83
545
0
21 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
79
2,871
0
19 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
320
18,609
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
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