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Autoencoding Slow Representations for Semi-supervised Data Efficient
  Regression

Autoencoding Slow Representations for Semi-supervised Data Efficient Regression

11 December 2020
Oliver Struckmeier
Kshitij Tiwari
Ville Kyrki
    DRL
ArXivPDFHTML

Papers citing "Autoencoding Slow Representations for Semi-supervised Data Efficient Regression"

6 / 6 papers shown
Title
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
81
1,084
0
08 Apr 2020
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
220
316
0
07 Feb 2020
DeepMind Lab
DeepMind Lab
Charlie Beattie
Joel Z Leibo
Denis Teplyashin
Tom Ward
Marcus Wainwright
...
Stephen Gaffney
Helen King
Demis Hassabis
Shane Legg
Stig Petersen
50
241
0
12 Dec 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
462
9,027
0
10 Jun 2016
On Causal and Anticausal Learning
On Causal and Anticausal Learning
Bernhard Schölkopf
Dominik Janzing
J. Peters
Eleni Sgouritsa
Kun Zhang
Joris Mooij
CML
81
607
0
27 Jun 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
231
12,422
0
24 Jun 2012
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