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Predictive Complexity Priors

Predictive Complexity Priors

18 June 2020
Eric T. Nalisnick
Jonathan Gordon
José Miguel Hernández-Lobato
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Predictive Complexity Priors"

5 / 5 papers shown
Title
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic
  Meta-Learning
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais
S. Chatzis
BDL
31
8
0
02 Aug 2022
Minimum Description Length Control
Minimum Description Length Control
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
M. Botvinick
18
1
0
17 Jul 2022
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
29
124
0
14 May 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
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
285
9,136
0
06 Jun 2015
1