variational autoencoder

Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models JMLR 2018 Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders NeurIPS 2018 Constrained Graph Variational Autoencoders for Molecule Design NeurIPS 2018 Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification NeurIPS 2018 Cross-Modal Deep Variational Hand Pose Estimation CVPR 2018 Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference ICLR 2018 Deformable Shape Completion With Graph Convolutional Autoencoders CVPR 2018 Disentangled Sequential Autoencoder ICML 2018 Disentangling by Factorising ICML 2018 DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors NeurIPS 2018 Embedding Words as Distributions with a Bayesian Skip-gram Model COLING 2018 Encoding Individual Acoustic Features Using Dyad-Augmented Deep Variational Representations for Dialog-level Emotion Recognition Interspeech 2018 Every Smile Is Unique: Landmark-Guided Diverse Smile Generation CVPR 2018 Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder Interspeech 2018 Flexible and accurate inference and learning for deep generative models NeurIPS 2018 FlipDial: A Generative Model for Two-Way Visual Dialogue CVPR 2018 Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2018 Gaussian Process Prior Variational Autoencoders NeurIPS 2018 Generalized Zero-Shot Learning via Synthesized Examples CVPR 2018 Generative Models of Visually Grounded Imagination ICLR 2018 Generative networks as inverse problems with Scattering transforms ICLR 2018 Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018 GILBO: One Metric to Measure Them All NeurIPS 2018 GumBolt: Extending Gumbel trick to Boltzmann priors NeurIPS 2018 Hamiltonian Variational Auto-Encoder NeurIPS 2018