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Hyperspherical Variational Auto-Encoders

3 April 2018

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Papers citing "Hyperspherical Variational Auto-Encoders"

31 / 231 papers shown

Discriminative Few-Shot Learning Based on Directional Statistics

Junyoung Park

05 Jun 2019

A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence MatchingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019

152

04 Jun 2019

Controllable Paraphrase Generation with a Syntactic ExemplarAnnual Meeting of the Association for Computational Linguistics (ACL), 2019

170

115

03 Jun 2019

Variational Diffusion Autoencoders with Random Walk Sampling

185

29 May 2019

Anomaly scores for generative models

140

28 May 2019

Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces

161

17 May 2019

Simulating Execution Time of Tensor Programs using Graph Neural Networks

26 Apr 2019

Effective Estimation of Deep Generative Language Models

Tom Pelsmaeker

Wilker Aziz

BDL

247

17 Apr 2019

Graph-Based Method for Anomaly Prediction in Brain Network

230

15 Apr 2019

Copula-like Variational Inference

Marcel Hirt

P. Dellaportas

Alain Durmus

185

15 Apr 2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations

252

02 Apr 2019

Diagnosing and Enhancing VAE Models

Bin Dai

David Wipf

DRL

301

415

14 Mar 2019

Reparameterizing Distributions on Lie Groups

156

07 Mar 2019

A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning

129

08 Feb 2019

Radial and Directional Posteriors for Bayesian Neural Networks

190

07 Feb 2019

Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

307

199

17 Jan 2019

Preventing Posterior Collapse with delta-VAEs

Ali Razavi

282

180

10 Jan 2019

Poincaré Wasserstein Autoencoder

Ivan Ovinnikov

202

05 Jan 2019

Topological Constraints on Homeomorphic Auto-Encoding

P. D. Haan

Luca Falorsi

27 Dec 2018

A Tutorial on Deep Latent Variable Models of Natural Language

270

17 Dec 2018

Adversarial Autoencoders with Constant-Curvature Latent Manifolds

133

11 Dec 2018

Embedding-reparameterization procedure for manifold-valued latent variables in generative models

Eugene Golikov

M. Kretov

DRL

102

06 Dec 2018

A Retrieve-and-Edit Framework for Predicting Structured Outputs

Tatsunori B. Hashimoto

211

182

04 Dec 2018

Sinkhorn AutoEncoders

250

02 Oct 2018

Variational Autoencoder with Implicit Optimal Priors

277

14 Sep 2018

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

240

138

05 Sep 2018

Spherical Latent Spaces for Stable Variational Autoencoders

Jiacheng Xu

Greg Durrett

BDL DRL

233

210

31 Aug 2018

Explorations in Homeomorphic Variational Auto-Encoding

253

120

12 Jul 2018

MolGAN: An implicit generative model for small molecular graphs

Nicola De Cao

Thomas Kipf

GNN GAN

515

1,022

30 May 2018

Implicit Reparameterization Gradients

563

247

22 May 2018

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds

230

16 May 2018