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Formal Limitations on the Measurement of Mutual Information
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Formal Limitations on the Measurement of Mutual Information

10 November 2018
David A. McAllester
K. Stratos
    SSL
ArXiv (abs)PDFHTML

Papers citing "Formal Limitations on the Measurement of Mutual Information"

30 / 180 papers shown
Title
Contrastive learning, multi-view redundancy, and linear models
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
SSL
118
167
0
24 Aug 2020
Multi-label Contrastive Predictive Coding
Multi-label Contrastive Predictive Coding
Jiaming Song
Stefano Ermon
SSLVLM
80
50
0
20 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
93
53
0
15 Jul 2020
Telescoping Density-Ratio Estimation
Telescoping Density-Ratio Estimation
Benjamin Rhodes
Kai Xu
Michael U. Gutmann
181
97
0
22 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
ObjDSSL
168
144
0
17 Jun 2020
Neural Estimators for Conditional Mutual Information Using Nearest
  Neighbors Sampling
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling
Sina Molavipour
Germán Bassi
Mikael Skoglund
53
8
0
12 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
122
1,342
0
20 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
DRLSSL
156
27
0
03 May 2020
Learning Discrete Structured Representations by Adversarially Maximizing
  Mutual Information
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
K. Stratos
Sam Wiseman
SSLDRL
21
7
0
08 Apr 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
102
16
0
27 Mar 2020
Learning Robust Representations via Multi-View Information Bottleneck
Learning Robust Representations via Multi-View Information Bottleneck
Marco Federici
Anjan Dutta
Patrick Forré
Nate Kushman
Zeynep Akata
SLR
83
259
0
17 Feb 2020
On the Estimation of Information Measures of Continuous Distributions
On the Estimation of Information Measures of Continuous Distributions
Georg Pichler
Pablo Piantanida
Günther Koliander
68
13
0
07 Feb 2020
Normalization of breast MRIs using Cycle-Consistent Generative
  Adversarial Networks
Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks
Gourav Modanwal
Adithya Vellal
Maciej A. Mazurowski
MedIm
60
28
0
16 Dec 2019
Learning Efficient Representation for Intrinsic Motivation
Learning Efficient Representation for Intrinsic Motivation
Ruihan Zhao
Stas Tiomkin
Pieter Abbeel
50
5
0
04 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
187
1,376
0
03 Dec 2019
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as
  Mutual Information Estimator
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
Zhenyue Qin
Dongwoo Kim
Tom Gedeon
SSL
86
50
0
25 Nov 2019
Conditional Mutual Information Neural Estimator
Conditional Mutual Information Neural Estimator
Sina Molavipour
Germán Bassi
Mikael Skoglund
122
14
0
06 Nov 2019
A Divergence Minimization Perspective on Imitation Learning Methods
A Divergence Minimization Perspective on Imitation Learning Methods
Seyed Kamyar Seyed Ghasemipour
R. Zemel
S. Gu
91
251
0
06 Nov 2019
On Predictive Information in RNNs
On Predictive Information in RNNs
Zhe Dong
Deniz Oktay
Ben Poole
Alexander A. Alemi
40
2
0
21 Oct 2019
Understanding the Limitations of Variational Mutual Information
  Estimators
Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song
Stefano Ermon
SSLDRL
85
204
0
14 Oct 2019
KLDivNet: An unsupervised neural network for multi-modality image
  registration
KLDivNet: An unsupervised neural network for multi-modality image registration
Yechong Huang
Tao Song
Jiahang Xu
Yinan Chen
Xiahai Zhuang
MedIm
15
1
0
23 Aug 2019
On Mutual Information Maximization for Representation Learning
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
196
502
0
31 Jul 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
162
255
0
19 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
203
2,416
0
13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
204
1,481
0
03 Jun 2019
Unsupervised Discovery of Temporal Structure in Noisy Data with
  Dynamical Components Analysis
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
David G. Clark
J. Livezey
K. Bouchard
AI4TS
101
24
0
23 May 2019
On Variational Bounds of Mutual Information
On Variational Bounds of Mutual Information
Ben Poole
Sherjil Ozair
Aaron van den Oord
Alexander A. Alemi
George Tucker
SSL
135
816
0
16 May 2019
Data-Efficient Mutual Information Neural Estimator
Data-Efficient Mutual Information Neural Estimator
Xiaoyu Lin
Indranil Sur
Samuel A. Nastase
Ajay Divakaran
Uri Hasson
Mohamed R. Amer
DRL
71
21
0
08 May 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
Exact Rate-Distortion in Autoencoders via Echo Noise
Rob Brekelmans
Daniel Moyer
Aram Galstyan
Greg Ver Steeg
59
17
0
15 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
SSLDRL
146
119
0
28 Mar 2019
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