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Recursive Inference for Variational Autoencoders

Recursive Inference for Variational Autoencoders

Neural Information Processing Systems (NeurIPS), 2020
17 November 2020
Minyoung Kim
Vladimir Pavlovic
    DRL
ArXiv (abs)PDFHTML

Papers citing "Recursive Inference for Variational Autoencoders"

4 / 4 papers shown
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Fei Ye
A. Bors
CLL
273
13
0
15 Dec 2021
Sharing to learn and learning to share; Fitting together Meta-Learning,
  Multi-Task Learning, and Transfer Learning: A meta review
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
CLL
583
5
0
23 Nov 2021
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian
  Random Function Approach
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
Minyoung Kim
Vladimir Pavlovic
BDL
272
7
0
05 Feb 2021
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State
  Transition
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State TransitionNeurocomputing (Neurocomputing), 2020
Xiao Liu
Heyan Huang
Yue Zhang
Changsen Yuan
AIFinAI4TS
151
20
0
04 Apr 2020
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