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Meta-Amortized Variational Inference and Learning

Meta-Amortized Variational Inference and Learning

5 February 2019
Mike Wu
Kristy Choi
Noah D. Goodman
Stefano Ermon
    OOD
    VLM
    BDL
    DRL
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Papers citing "Meta-Amortized Variational Inference and Learning"

8 / 8 papers shown
Title
Compositional simulation-based inference for time series
Compositional simulation-based inference for time series
Manuel Gloeckler
S. Toyota
Kenji Fukumizu
Jakob H Macke
45
1
0
05 Nov 2024
Top-Down Visual Attention from Analysis by Synthesis
Top-Down Visual Attention from Analysis by Synthesis
Baifeng Shi
Trevor Darrell
Xin Eric Wang
22
28
0
23 Mar 2023
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
183
49
0
30 May 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
ADAVI: Automatic Dual Amortized Variational Inference Applied To
  Pyramidal Bayesian Models
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Louis Rouillard
Demian Wassermann
30
2
0
23 Jun 2021
Partition Function Estimation: A Quantitative Study
Partition Function Estimation: A Quantitative Study
Durgesh Kumar Agrawal
Yash Pote
Kuldeep S. Meel
16
11
0
24 May 2021
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
196
498
0
11 Jun 2018
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
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