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GFlowOut: Dropout with Generative Flow Networks

GFlowOut: Dropout with Generative Flow Networks

24 October 2022
Dianbo Liu
Moksh Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
Anirudh Goyal
Nikolay Malkin
Chris C. Emezue
Dinghuai Zhang
N. Hassen
Xu Ji
Kenji Kawaguchi
Yoshua Bengio
    UQCV
    BDL
    OOD
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Papers citing "GFlowOut: Dropout with Generative Flow Networks"

11 / 11 papers shown
Title
Baking Symmetry into GFlowNets
Baking Symmetry into GFlowNets
George Ma
Emmanuel Bengio
Yoshua Bengio
Dinghuai Zhang
29
8
0
08 Jun 2024
Stochastic Generative Flow Networks
Stochastic Generative Flow Networks
L. Pan
Dinghuai Zhang
Moksh Jain
Longbo Huang
Yoshua Bengio
BDL
28
30
0
19 Feb 2023
Generative Augmented Flow Networks
Generative Augmented Flow Networks
L. Pan
Dinghuai Zhang
Aaron Courville
Longbo Huang
Yoshua Bengio
104
42
0
07 Oct 2022
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
130
77
0
02 Oct 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
45
55
0
23 Feb 2022
Trajectory balance: Improved credit assignment in GFlowNets
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin
Moksh Jain
Emmanuel Bengio
Chen Sun
Yoshua Bengio
145
165
0
31 Jan 2022
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
195
80
0
16 Feb 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
55
56
0
05 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,597
0
03 Jul 2012
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