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Meta-Learning with Shared Amortized Variational Inference

Meta-Learning with Shared Amortized Variational Inference

International Conference on Machine Learning (ICML), 2020
27 August 2020
E. Iakovleva
Jakob Verbeek
Alahari Karteek
    OODFedMLBDL
ArXiv (abs)PDFHTML

Papers citing "Meta-Learning with Shared Amortized Variational Inference"

12 / 12 papers shown
Title
Federated Learning via Meta-Variational Dropout
Federated Learning via Meta-Variational DropoutNeural Information Processing Systems (NeurIPS), 2025
Insu Jeon
Minui Hong
Junhyeog Yun
Gunhee Kim
FedML
199
10
0
23 Oct 2025
Neural Variational Dropout Processes
Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025
Insu Jeon
Youngjin Park
Gunhee Kim
BDLUQCV
239
3
0
22 Oct 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Julius Vetter
Manuel Gloeckler
Daniel Gedon
Jakob H Macke
334
3
0
24 Apr 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
George Whittle
Juliusz Ziomek
Jacob Rawling
Michael A. Osborne
438
8
0
04 Feb 2025
BECLR: Batch Enhanced Contrastive Few-Shot Learning
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
239
7
0
04 Feb 2024
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent
  Markov Decision Processes
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision ProcessesInternational Conference on Machine Learning (ICML), 2022
Runlong Zhou
Ruosong Wang
S. Du
210
3
0
20 Oct 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
200
18
0
22 Aug 2022
PAVI: Plate-Amortized Variational Inference
PAVI: Plate-Amortized Variational Inference
Louis Rouillard
Thomas Moreau
Demian Wassermann
107
1
0
10 Jun 2022
Foundation Posteriors for Approximate Probabilistic Inference
Foundation Posteriors for Approximate Probabilistic InferenceNeural Information Processing Systems (NeurIPS), 2022
Mike Wu
Noah D. Goodman
UQCV
159
6
0
19 May 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
136
2
0
23 Jun 2021
Towards Enabling Meta-Learning from Target Models
Towards Enabling Meta-Learning from Target ModelsNeural Information Processing Systems (NeurIPS), 2021
Su Lu
Han-Jia Ye
Le Gan
De-Chuan Zhan
CLL
120
6
0
08 Apr 2021
Meta-Learning an Inference Algorithm for Probabilistic Programs
Meta-Learning an Inference Algorithm for Probabilistic Programs
Gwonsoo Che
Hongseok Yang
TPM
201
1
0
01 Mar 2021
1