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Learning Discrete Representations via Information Maximizing
  Self-Augmented Training

Learning Discrete Representations via Information Maximizing Self-Augmented Training

28 February 2017
Weihua Hu
Takeru Miyato
Seiya Tokui
Eiichi Matsumoto
Masashi Sugiyama
ArXivPDFHTML

Papers citing "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

50 / 70 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
32
0
0
07 May 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
40
1
0
02 Apr 2025
Deep clustering using adversarial net based clustering loss
Deep clustering using adversarial net based clustering loss
Kart-Leong Lim
69
0
0
12 Dec 2024
Historical Printed Ornaments: Dataset and Tasks
Historical Printed Ornaments: Dataset and Tasks
Sayan Kumar Chaki
Z. S. Baltaci
Elliot Vincent
Remi Emonet
Fabienne Vial-Bonacci
Christelle Bahier-Porte
Mathieu Aubry
Thierry Fournel
47
0
0
16 Aug 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
43
16
0
05 Mar 2024
Incomplete Contrastive Multi-View Clustering with High-Confidence
  Guiding
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
Guoqing Chao
Yi Jiang
Dianhui Chu
39
44
0
14 Dec 2023
Strong-Weak Integrated Semi-supervision for Unsupervised Single and
  Multi Target Domain Adaptation
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation
Xiaohu Lu
H. Radha
28
0
0
12 Sep 2023
RGMComm: Return Gap Minimization via Discrete Communications in
  Multi-Agent Reinforcement Learning
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
Jingdi Chen
Tian-Shing Lan
Carlee Joe-Wong
17
15
0
07 Aug 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
H. Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei Chen
Shuicheng Yan
CLL
TTA
37
3
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
Deep Clustering with a Constraint for Topological Invariance based on
  Symmetric InfoNCE
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE
Yuhui Zhang
Yuichiro Wada
Hiroki Waida
Kaito Goto
Yusaku Hino
Takafumi Kanamori
27
3
0
06 Mar 2023
Contrastive Hierarchical Clustering
Contrastive Hierarchical Clustering
Michal Znale'zniak
P. Rola
Patryk Kaszuba
Jacek Tabor
Marek Śmieja
21
5
0
03 Mar 2023
Self-Organising Neural Discrete Representation Learning à la Kohonen
Self-Organising Neural Discrete Representation Learning à la Kohonen
Kazuki Irie
Róbert Csordás
Jürgen Schmidhuber
SSL
32
1
0
15 Feb 2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual
  Information
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information
Xin Li
Mingqiang Wei
Songcan Chen
3DPC
SSL
35
4
0
30 Jan 2023
A Clustering-guided Contrastive Fusion for Multi-view Representation
  Learning
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
Guanzhou Ke
Guoqing Chao
Xiaoli Wang
Chenyang Xu
Yong-Nan Zhu
Yang Yu
SSL
28
18
0
28 Dec 2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain
  Adaptation
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
I. Diamant
Roy H. Jennings
Oranit Dror
H. Habi
Arnon Netzer
28
2
0
07 Dec 2022
Polycentric Clustering and Structural Regularization for Source-free
  Unsupervised Domain Adaptation
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation
Xinyu Guan
Han Sun
Ningzhong Liu
Huiyu Zhou
22
2
0
14 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
43
100
0
09 Oct 2022
Deep Fair Clustering via Maximizing and Minimizing Mutual Information:
  Theory, Algorithm and Metric
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
Pengxin Zeng
Yunfan Li
Peng Hu
Dezhong Peng
Jiancheng Lv
Xiaocui Peng
23
12
0
26 Sep 2022
Test-Time Adaptation with Principal Component Analysis
Test-Time Adaptation with Principal Component Analysis
Thomas Cordier
Victor Bouvier
Gilles Hénaff
C´eline Hudelot
TTA
33
1
0
13 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
Representation Learning with Information Theory for COVID-19 Detection
Representation Learning with Information Theory for COVID-19 Detection
Abel Díaz Berenguer
Tanmoy Mukherjee
M. Bossa
Nikos Deligiannis
Hichem Sahli
OOD
30
3
0
04 Jul 2022
Automated Cancer Subtyping via Vector Quantization Mutual Information
  Maximization
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization
Zheng Chen
Lingwei Zhu
Ziwei Yang
Takashi Matsubara
24
7
0
22 Jun 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain
  Adaptation
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
32
131
0
09 May 2022
A Differential Entropy Estimator for Training Neural Networks
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler
Pierre Colombo
Malik Boudiaf
Günther Koliander
Pablo Piantanida
25
21
0
14 Feb 2022
Pareto Domain Adaptation
Pareto Domain Adaptation
Fangrui Lv
Jian Liang
Kaixiong Gong
Shuang Li
Chi Harold Liu
Han Li
Di Liu
Guoren Wang
15
31
0
08 Dec 2021
Unsupervised Representation Learning via Neural Activation Coding
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park
Sangho Lee
Gunhee Kim
David M. Blei
SSL
26
8
0
07 Dec 2021
Diversified Multi-prototype Representation for Semi-supervised
  Segmentation
Diversified Multi-prototype Representation for Semi-supervised Segmentation
Jizong Peng
Christian Desrosiers
M. Pedersoli
29
1
0
16 Nov 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
55
18
0
14 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised
  Representation Learning
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Uçar
Ehsan Hajiramezanali
Lindsay Edwards
LMTD
SSL
39
124
0
08 Oct 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep
  Learning based Security Systems
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
Mohit Sewak
S. K. Sahay
Hemant Rathore
8
5
0
12 Sep 2021
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
Jinyu Yang
Jingjing Liu
N. Xu
Junzhou Huang
30
125
0
12 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition
M2IOSR: Maximal Mutual Information Open Set Recognition
Xin Sun
Henghui Ding
Chi Zhang
Guosheng Lin
K. Ling
23
17
0
05 Aug 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
30
2
0
23 Jun 2021
Consistency Regularization for Cross-Lingual Fine-Tuning
Consistency Regularization for Cross-Lingual Fine-Tuning
Bo Zheng
Li Dong
Shaohan Huang
Wenhui Wang
Zewen Chi
Saksham Singhal
Wanxiang Che
Ting Liu
Xia Song
Furu Wei
19
58
0
15 Jun 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object Prototypes
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
16
53
0
29 Apr 2021
On Evolving Attention Towards Domain Adaptation
On Evolving Attention Towards Domain Adaptation
Kekai Sheng
Ke Li
Xiawu Zheng
Jian Liang
Weiming Dong
Feiyue Huang
Rongrong Ji
Xing Sun
36
7
0
25 Mar 2021
ConDA: Continual Unsupervised Domain Adaptation
ConDA: Continual Unsupervised Domain Adaptation
A. M. N. Taufique
C. S. Jahan
Andreas E. Savakis
TTA
CLL
19
10
0
19 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling
Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis
Yaochu Jin
S. Thomas
SSL
16
25
0
12 Mar 2021
A Framework for Deep Constrained Clustering
A Framework for Deep Constrained Clustering
Hongjing Zhang
Tianyang Zhan
Sugato Basu
Ian Davidson
24
31
0
07 Jan 2021
Hypothesis Disparity Regularized Mutual Information Maximization
Hypothesis Disparity Regularized Mutual Information Maximization
Qicheng Lao
Xiang Jiang
Mohammad Havaei
33
24
0
15 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
Self-labeled Conditional GANs
Self-labeled Conditional GANs
M. Noroozi
SSL
17
10
0
03 Dec 2020
Image Clustering using an Augmented Generative Adversarial Network and
  Information Maximization
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis
Yaochu Jin
S. Thomas
GAN
28
13
0
08 Nov 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for
  Semi-Supervised Learning
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
22
26
0
12 Oct 2020
Autoregressive Unsupervised Image Segmentation
Autoregressive Unsupervised Image Segmentation
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
35
86
0
16 Jul 2020
Learning Diverse and Discriminative Representations via the Principle of
  Maximal Coding Rate Reduction
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu
Kwan Ho Ryan Chan
Chong You
Chaobing Song
Yi Ma
SSL
36
189
0
15 Jun 2020
Dissimilarity Mixture Autoencoder for Deep Clustering
Dissimilarity Mixture Autoencoder for Deep Clustering
Juan S. Lara
Fabio A. González
22
5
0
15 Jun 2020
Mutual Information Gradient Estimation for Representation Learning
Mutual Information Gradient Estimation for Representation Learning
Liangjiang Wen
Yiji Zhou
Lirong He
Mingyuan Zhou
Zenglin Xu
DRL
SSL
33
27
0
03 May 2020
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image
  Translation
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation
Takehiko Ohkawa
Naoto Inoue
Hirokatsu Kataoka
Nakamasa Inoue
27
6
0
29 Feb 2020
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