Models

Towards Quantum Language Models EMNLP 2017 Transformation-Grounded Image Generation Network for Novel 3D View Synthesis CVPR 2017 Triangle Generative Adversarial Networks NeurIPS 2017 Triple Generative Adversarial Nets NeurIPS 2017 TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017 Unified Representation and Lifted Sampling for Generative Models of Social Networks IJCAI 2017 Unsupervised Filterbank Learning Using Convolutional Restricted Boltzmann Machine for Environmental Sound Classification Interspeech 2017 Unsupervised Image-to-Image Translation Networks NeurIPS 2017 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NeurIPS 2017 VAE Learning via Stein Variational Gradient Descent NeurIPS 2017 Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017 Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering IJCAI 2017 Variational Inference for Gaussian Process Models with Linear Complexity NeurIPS 2017 Variational Inference for Sparse and Undirected Models ICML 2017 Variational Inference via χ Upper Bound Minimization NeurIPS 2017 Variational Memory Addressing in Generative Models NeurIPS 2017 Variational Recurrent Neural Networks for Speech Separation Interspeech 2017 VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NeurIPS 2017 Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks Interspeech 2017 Wasserstein Generative Adversarial Networks ICML 2017 Wasserstein Learning of Deep Generative Point Process Models NeurIPS 2017 Waveform Modeling Using Stacked Dilated Convolutional Neural Networks for Speech Bandwidth Extension Interspeech 2017 Z-Forcing: Training Stochastic Recurrent Networks NeurIPS 2017 Accelerated Generative Models for 3D Point Cloud Data CVPR 2016 A Deep Generative Deconvolutional Image Model AISTATS 2016