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Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

7 December 2022
Juhan Bae
Michael Ruogu Zhang
Michael Ruan
Eric Wang
S. Hasegawa
Jimmy Ba
Roger C. Grosse
    DRL
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Papers citing "Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve"

4 / 4 papers shown
Title
ParamReL: Learning Parameter Space Representation via Progressively
  Encoding Bayesian Flow Networks
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks
Zhangkai Wu
Xuhui Fan
Jin Li
Zhilin Zhao
Hui Chen
LongBing Cao
52
2
0
24 May 2024
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use
  Case
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case
Clément Chadebec
Louis J. Vincent
S. Allassonnière
DRL
34
29
0
16 Jun 2022
Interpreting Rate-Distortion of Variational Autoencoder and Using Model
  Uncertainty for Anomaly Detection
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
Seonho Park
George Adosoglou
P. Pardalos
DRL
UQCV
34
16
0
05 May 2020
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang
Guodong Zhang
Jimmy Ba
33
100
0
16 Oct 2019
1