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1509.00519
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Importance Weighted Autoencoders
International Conference on Learning Representations (ICLR), 2015
1 September 2015
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
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Papers citing
"Importance Weighted Autoencoders"
50 / 817 papers shown
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385
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AE-OT-GAN: Training GANs from data specific latent distribution
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Yang Guo
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X. Gu
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234
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0
11 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
International Conference on Learning Representations (ICLR), 2020
Soochan Lee
Junsoo Ha
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Gunhee Kim
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426
233
0
03 Jan 2020
Hierarchical Variational Imitation Learning of Control Programs
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Richard Shin
William Paul
Yitian Zou
Basel Alomair
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Ion Stoica
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120
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29 Dec 2019
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
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Ziyu Wang
David Wipf
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171
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Kei Ishikawa
63
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23 Dec 2019
Learning Representations by Maximizing Mutual Information in Variational Autoencoders
International Symposium on Information Theory (ISIT), 2019
Ali Lotfi-Rezaabad
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153
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21 Dec 2019
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180
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140
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European Conference on Artificial Intelligence (ECAI), 2019
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123
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25 Nov 2019
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268
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Xiaofeng Liu
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Yubin Ge
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Yoshua Bengio
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Babak Esmaeili
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Jan-Willem van de Meent
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378
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11 Nov 2019
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156
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Yuge Shi
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Juil Sock
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261
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08 Nov 2019
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
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Hao Wu
Heiko Zimmermann
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219
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Multiple Futures Prediction
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348
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International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Adam Foster
M. Jankowiak
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212
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01 Nov 2019
Continual Unsupervised Representation Learning
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Francesco Visin
Andrei A. Rusu
Yee Whye Teh
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146
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31 Oct 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions
Neural Information Processing Systems (NeurIPS), 2019
Dieterich Lawson
George Tucker
Bo Dai
Rajesh Ranganath
310
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31 Oct 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
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Maksim Kuznetsov
Daniil Polykovskiy
Dmitry Vetrov
Alexander Zhebrak
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95
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29 Oct 2019
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems
China Communications (CC), 2019
A. B. Zaki
J. Huang
Kaishun Wu
B. Elhalawany
79
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12 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat
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Jürgen Schmidhuber
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Christopher K. I. Williams
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SCALOR: Generative World Models with Scalable Object Representations
International Conference on Learning Representations (ICLR), 2019
Jindong Jiang
Sepehr Janghorbani
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439
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Neural Multisensory Scene Inference
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Pedro H. O. Pinheiro
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180
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Latent-Variable Generative Models for Data-Efficient Text Classification
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180
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Tightening Bounds for Variational Inference by Revisiting Perturbation Theory
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Manfred Opper
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231
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On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
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Ehsan Shareghi
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185
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Particle Smoothing Variational Objectives
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Iddo Drori
I. Pe’er
182
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Select and Attend: Towards Controllable Content Selection in Text Generation
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Jun Suzuki
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Learning Priors for Adversarial Autoencoders
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018
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Wei-Jan Ko
GAN
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Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Shuyu Lin
Stephen J. Roberts
Niki Trigoni
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FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Xuezhe Ma
Chunting Zhou
Xian Li
Graham Neubig
Eduard H. Hovy
AI4TS
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270
200
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05 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Jan Stühmer
Richard Turner
Sebastian Nowozin
DRL
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276
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Improving Disentangled Representation Learning with the Beta Bernoulli Process
Industrial Conference on Data Mining (IDM), 2019
P. Gyawali
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Cameron Knight
S. Ghimire
B. Horácek
J. Sapp
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CML
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131
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A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
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Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
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142
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Theory and Evaluation Metrics for Learning Disentangled Representations
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Kien Do
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307
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John P. Cunningham
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339
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Vector Quantized Bayesian Neural Network Inference for Data Streams
AAAI Conference on Artificial Intelligence (AAAI), 2019
Namuk Park
Taekyu Lee
Songkuk Kim
MQ
171
11
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12 Jul 2019
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