Models

Visual Object Networks: Image Generation with Disentangled 3D Representations NeurIPS 2018 VITON: An Image-Based Virtual Try-On Network CVPR 2018 VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop ICLR 2018 VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection CVPR 2018 Wasserstein Auto-Encoders ICLR 2018 Wasserstein Introspective Neural Networks CVPR 2018 Wasserstein Variational Inference NeurIPS 2018 WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling ICLR 2018 What do RNN Language Models Learn about Filler–Gap Dependencies? EMNLP 2018 Which Training Methods for GANs do actually Converge? ICML 2018 Yes, but Did It Work?: Evaluating Variational Inference ICML 2018 A Conditional Variational Framework for Dialog Generation ACL 2017 Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis Interspeech 2017 AdaGAN: Boosting Generative Models NeurIPS 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI ICML 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 Age Progression/Regression by Conditional Adversarial Autoencoder CVPR 2017 A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017 AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NeurIPS 2017