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Learning deep representations by mutual information estimation and
  maximization

Learning deep representations by mutual information estimation and maximization

20 August 2018
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
    SSL
    DRL
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Papers citing "Learning deep representations by mutual information estimation and maximization"

15 / 515 papers shown
Title
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
58
1,415
0
22 May 2019
Unsupervised Detection of Distinctive Regions on 3D Shapes
Unsupervised Detection of Distinctive Regions on 3D Shapes
Xianzhi Li
Lequan Yu
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
31
19
0
05 May 2019
Deep Spectral Clustering using Dual Autoencoder Network
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang
Cheng Deng
Feng Zheng
Junchi Yan
Wei Liu
16
249
0
30 Apr 2019
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Jie Cao
Huaibo Huang
Yi Li
Jingtuo Liu
Ran He
Zhenan Sun
GAN
26
4
0
14 Apr 2019
Easy Transfer Learning By Exploiting Intra-domain Structures
Easy Transfer Learning By Exploiting Intra-domain Structures
Jindong Wang
Yiqiang Chen
Han Yu
Meiyu Huang
Qiang Yang
11
130
0
02 Apr 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSL
DRL
22
116
0
28 Mar 2019
Learning Speaker Representations with Mutual Information
Learning Speaker Representations with Mutual Information
Mirco Ravanelli
Yoshua Bengio
SSL
DRL
16
91
0
01 Dec 2018
Neural Joint Source-Channel Coding
Neural Joint Source-Channel Coding
Kristy Choi
Kedar Tatwawadi
Aditya Grover
Tsachy Weissman
Stefano Ermon
13
38
0
19 Nov 2018
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCV
TPM
20
618
0
02 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability
Excessive Invariance Causes Adversarial Vulnerability
J. Jacobsen
Jens Behrmann
R. Zemel
Matthias Bethge
AAML
20
166
0
01 Nov 2018
Estimating Information Flow in Deep Neural Networks
Estimating Information Flow in Deep Neural Networks
Ziv Goldfeld
E. Berg
Kristjan Greenewald
Igor Melnyk
Nam H. Nguyen
Brian Kingsbury
Yury Polyanskiy
25
32
0
12 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement
  Learning
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
11
206
0
02 Oct 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
SSL
VLM
16
839
0
17 Jul 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech
  Induction
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction
K. Stratos
16
26
0
20 Apr 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
242
2,550
0
25 Jan 2016
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