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2002.00041
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On Implicit Regularization in
β
β
β
-VAEs
International Conference on Machine Learning (ICML), 2020
31 January 2020
Abhishek Kumar
Ben Poole
DRL
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Papers citing
"On Implicit Regularization in $β$-VAEs"
37 / 37 papers shown
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259
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Emre Acartürk
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408
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24 Oct 2023
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260
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Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
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Roger C. Grosse
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Zhengchao Wan
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171
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Function Classes for Identifiable Nonlinear Independent Component Analysis
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232
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Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
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Hachem Kadri
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209
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396
48
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29 Jun 2022
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436
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Interval Bound Interpolation for Few-shot Learning with Few Tasks
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459
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0
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On PAC-Bayesian reconstruction guarantees for VAEs
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Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
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323
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0
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Flat Latent Manifolds for Human-machine Co-creation of Music
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Djalel Benbouzid
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271
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Reproducible, incremental representation learning with Rosetta VAE
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John M. Pearson
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170
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Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler
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Chenghui Zhou
Andrej Risteski
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218
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0
13 Dec 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian
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1
L_1
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Regularization
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Travers Rhodes
Daniel D. Lee
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271
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05 Jun 2021
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A. Camuto
M. Willetts
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273
3
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Certifiably Robust Variational Autoencoders
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Ben Barrett
A. Camuto
M. Willetts
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316
17
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336
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M. Willetts
Stephen J. Roberts
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305
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232
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Matan Atzmon
Y. Lipman
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295
22
0
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Giulia Lanzillotta
Yashas Annadani
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Stefan Bauer
Bernhard Schölkopf
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301
9
0
14 Jun 2020
A Generalised Linear Model Framework for
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β
β
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Robert Sicks
R. Korn
Stefanie Schwaar
324
14
0
11 Jun 2020
Regularized Autoencoders via Relaxed Injective Probability Flow
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Abhishek Kumar
Ben Poole
Kevin Patrick Murphy
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210
43
0
20 Feb 2020
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