Generative Models

Unsupervised Bilingual Lexicon Induction via Latent Variable Models EMNLP 2018 Unsupervised Disentangled Representation Learning with Analogical Relations IJCAI 2018 Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution CVPR 2018 Using Shifted Real Spectrum Mask as Training Target for Supervised Speech Separation Interspeech 2018 VAE with a VampPrior AISTATS 2018 Variational Autoencoders for Deforming 3D Mesh Models CVPR 2018 Variational Autoregressive Decoder for Neural Response Generation EMNLP 2018 Variational Inference and Deep Generative Models ACL 2018 Video-to-Video Synthesis NeurIPS 2018 View Extrapolation of Human Body From a Single Image CVPR 2018 Visual Data Synthesis via GAN for Zero-Shot Video Classification IJCAI 2018 Visual Feature Attribution Using Wasserstein GANs CVPR 2018 Visual Object Networks: Image Generation with Disentangled 3D Representations NeurIPS 2018 VITON: An Image-Based Virtual Try-On Network CVPR 2018 Wasserstein Auto-Encoders ICLR 2018 Wasserstein Introspective Neural Networks CVPR 2018 Which Training Methods for GANs do actually Converge? ICML 2018 AdaGAN: Boosting Generative Models NeurIPS 2017 Adversarial Discriminative Domain Adaptation CVPR 2017 Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017 Affect-LM: A Neural Language Model for Customizable Affective Text Generation ACL 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 A Generative Model for Depth-Based Robust 3D Facial Pose Tracking CVPR 2017 A Generative Parser with a Discriminative Recognition Algorithm ACL 2017 A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017