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On Mutual Information Maximization for Representation Learning

On Mutual Information Maximization for Representation Learning

31 July 2019
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
    SSL
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Papers citing "On Mutual Information Maximization for Representation Learning"

50 / 150 papers shown
Title
Dual Contrastive Loss and Attention for GANs
Dual Contrastive Loss and Attention for GANs
Ning Yu
Guilin Liu
Aysegül Dündar
Andrew Tao
Bryan Catanzaro
Larry S. Davis
Mario Fritz
GAN
34
60
0
31 Mar 2021
Explaining Representation by Mutual Information
Explaining Representation by Mutual Information
Li Gu
SSL
FAtt
37
0
0
28 Mar 2021
Unsupervised Two-Stage Anomaly Detection
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu
Chaoqun Zhuang
Feng Lu
39
29
0
22 Mar 2021
Tensor networks and efficient descriptions of classical data
Tensor networks and efficient descriptions of classical data
Sirui Lu
Márton Kanász-Nagy
I. Kukuljan
J. I. Cirac
24
24
0
11 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GAN
DRL
18
6
0
05 Mar 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
96
91
0
25 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
38
325
0
22 Feb 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
238
209
0
17 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
22
43
0
13 Feb 2021
Disentangled Recurrent Wasserstein Autoencoder
Disentangled Recurrent Wasserstein Autoencoder
Jun Han
Martin Renqiang Min
Ligong Han
Erran L. Li
Xuan Zhang
CoGe
SyDa
DRL
27
33
0
19 Jan 2021
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
33
15
0
17 Dec 2020
A case for new neural network smoothness constraints
A case for new neural network smoothness constraints
Mihaela Rosca
T. Weber
Arthur Gretton
S. Mohamed
AAML
35
48
0
14 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSL
SSeg
36
174
0
13 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs
Unsupervised Adversarially-Robust Representation Learning on Graphs
Jiarong Xu
Yang Yang
Junru Chen
Chunping Wang
Xin Jiang
Jiangang Lu
Yizhou Sun
SSL
AAML
OOD
35
36
0
04 Dec 2020
Unsupervised Video Representation Learning by Bidirectional Feature
  Prediction
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Nadine Behrmann
Juergen Gall
M. Noroozi
SSL
MDE
32
29
0
11 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
36
174
0
05 Nov 2020
Specialization in Hierarchical Learning Systems
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
29
16
0
03 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
34
1,076
0
27 Oct 2020
Iterative Graph Self-Distillation
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric Xing
SSL
57
33
0
23 Oct 2020
Maximum-Entropy Adversarial Data Augmentation for Improved
  Generalization and Robustness
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OOD
AAML
27
165
0
15 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
184
687
0
10 Oct 2020
Representation Learning for Sequence Data with Deep Autoencoding
  Predictive Components
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai
Weiran Wang
Yingbo Zhou
Caiming Xiong
SSL
AI4TS
27
12
0
07 Oct 2020
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
Benjin Zhu
Junqiang Huang
Zeming Li
Xiangyu Zhang
Jian Sun
SSL
22
13
0
05 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
53
628
0
02 Oct 2020
Learning Optimal Representations with the Decodable Information
  Bottleneck
Learning Optimal Representations with the Decodable Information Bottleneck
Yann Dubois
Douwe Kiela
D. Schwab
Ramakrishna Vedantam
26
43
0
27 Sep 2020
Interest-Behaviour Multiplicative Network for Resource-limited
  Recommendation
Interest-Behaviour Multiplicative Network for Resource-limited Recommendation
Qianliang Wu
Tong Zhang
Zhen Cui
Jian Yang
19
1
0
24 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan
Shirui Pan
Jian Yang
Chen Gong
SSL
22
137
0
15 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep
  Learning in Adversarial and Out-of-Distribution Settings
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
John Mitros
A. Pakrashi
Brian Mac Namee
UQCV
26
2
0
03 Sep 2020
Contrastive learning, multi-view redundancy, and linear models
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
SSL
35
163
0
24 Aug 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
20
76
0
09 Aug 2020
Autoregressive Unsupervised Image Segmentation
Autoregressive Unsupervised Image Segmentation
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
35
86
0
16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
H. Hafidi
Mounir Ghogho
P. Ciblat
A. Swami
SSL
28
53
0
15 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization
Efficient Empowerment Estimation for Unsupervised Stabilization
Ruihan Zhao
Kevin Lu
Pieter Abbeel
Stas Tiomkin
26
8
0
14 Jul 2020
Graph Clustering with Graph Neural Networks
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNN
AI4CE
25
259
0
30 Jun 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
30
550
0
18 Jun 2020
Contrastive Learning for Weakly Supervised Phrase Grounding
Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta
Arash Vahdat
Gal Chechik
Xiaodong Yang
Jan Kautz
Derek Hoiem
ObjD
SSL
42
140
0
17 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
52
1,587
0
15 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
31
1,275
0
10 Jun 2020
Self-supervised Learning from a Multi-view Perspective
Self-supervised Learning from a Multi-view Perspective
Yao-Hung Hubert Tsai
Yue Wu
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
25
30
0
10 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
39
1,308
0
20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
87
956
0
11 May 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
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
49
1,061
0
08 Apr 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
33
131
0
29 Mar 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic
  Objectives in Deep Learning
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning
Andreas Kirsch
Clare Lyle
Y. Gal
27
16
0
27 Mar 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
23
158
0
19 Mar 2020
DHOG: Deep Hierarchical Object Grouping
DHOG: Deep Hierarchical Object Grouping
L. N. Darlow
Amos Storkey
13
7
0
13 Mar 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning
Automatic Shortcut Removal for Self-Supervised Representation Learning
Matthias Minderer
Olivier Bachem
N. Houlsby
Michael Tschannen
SSL
15
73
0
20 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
78
18,337
0
13 Feb 2020
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
226
166
0
18 Oct 2019
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