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2107.02495
Cited By
InfoNCE is variational inference in a recognition parameterised model
6 July 2021
Laurence Aitchison
Stoil Ganev
BDL
Re-assign community
ArXiv
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Papers citing
"InfoNCE is variational inference in a recognition parameterised model"
14 / 14 papers shown
Title
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
91
11
0
06 Mar 2024
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
Alexander M¨ollers
Alexander Immer
Elvin Isufi
Vincent Fortuin
SSL
BDL
UQCV
87
1
0
30 Nov 2023
Bayesian Graph Contrastive Learning
Arman Hasanzadeh
Mohammadreza Armandpour
Ehsan Hajiramezanali
Mingyuan Zhou
N. Duffield
K. Narayanan
UQCV
BDL
SSL
27
5
0
15 Dec 2021
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li
Roman Pogodin
Danica J. Sutherland
Arthur Gretton
SSL
65
84
0
15 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
91
314
0
08 Jun 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
126
663
0
22 Jan 2021
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
Didrik Nielsen
P. Jaini
Emiel Hoogeboom
Ole Winther
Max Welling
TPM
BDL
DRL
54
92
0
06 Jul 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
78
542
0
06 Dec 2019
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
156
493
0
31 Jul 2019
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
62
1,346
0
16 Feb 2018
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
157
2,980
0
30 Mar 2016
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,782
0
19 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
265
6,887
0
12 Mar 2015
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
431
16,944
0
20 Dec 2013
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