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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

26 September 2019
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
    OOD
ArXiv (abs)PDFHTML

Papers citing "Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift"

33 / 33 papers shown
Title
Efficient Parameter-free Clustering Using First Neighbor Relations
Efficient Parameter-free Clustering Using First Neighbor Relations
Saquib Sarfraz
Vivek Sharma
Rainer Stiefelhagen
82
183
0
28 Feb 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
63
64
0
23 Jan 2019
Deep clustering: On the link between discriminative models and K-means
Deep clustering: On the link between discriminative models and K-means
Mohammed Jabi
M. Pedersoli
A. Mitiche
Ismail Ben Ayed
64
109
0
09 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
269
5,403
0
28 Sep 2018
Understanding and Improving Interpolation in Autoencoders via an
  Adversarial Regularizer
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot
Colin Raffel
Aurko Roy
Ian Goodfellow
62
264
0
19 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSLVLM
90
852
0
17 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
88
1,901
0
15 Jul 2018
Deep Discriminative Latent Space for Clustering
Deep Discriminative Latent Space for Clustering
Elad Tzoreff
Olga Kogan
Yoni Choukroun
SSLDRL
43
18
0
28 May 2018
Deep Continuous Clustering
Deep Continuous Clustering
Sohil Shah
V. Koltun
DRL
42
75
0
05 Mar 2018
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
125
1,057
0
05 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,920
0
25 Aug 2017
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
96
128
0
19 May 2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and
  Relative Entropy Minimization
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
Kamran Ghasedi Dizaji
Amirhossein Herandi
Cheng Deng
Weidong (Tom) Cai
Heng-Chiao Huang
49
524
0
20 Apr 2017
Learning Discrete Representations via Information Maximizing
  Self-Augmented Training
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu
Takeru Miyato
Seiya Tokui
Eiichi Matsumoto
Masashi Sugiyama
83
452
0
28 Feb 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDLDRL
79
732
0
16 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
345
4,636
0
10 Nov 2016
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
78
876
0
15 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
159
4,238
0
12 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
85
1,314
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace
  Clustering
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
Chong You
Chun-Guang Li
Daniel P. Robinson
René Vidal
73
243
0
09 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
69
5,297
0
25 Apr 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
57
818
0
13 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
177
2,986
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
149
3,532
0
28 Mar 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
271
14,023
0
19 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
92
2,879
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
99
2,228
0
18 Nov 2015
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Chong You
Daniel P. Robinson
René Vidal
56
348
0
05 Jul 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
169
2,789
0
19 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
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