Models

Generative Modeling by Estimating Gradients of the Data Distribution NeurIPS 2019 Generative Modeling for Small-Data Object Detection ICCV 2019 Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation ICML 2019 Generative Models for Graph-Based Protein Design NeurIPS 2019 Generative predecessor models for sample-efficient imitation learning ICLR 2019 Generative Well-intentioned Networks NeurIPS 2019 Geometric Disentanglement for Generative Latent Shape Models ICCV 2019 Geometry-Aware Neural Rendering NeurIPS 2019 Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping CVPR 2019 Global Guarantees for Blind Demodulation with Generative Priors NeurIPS 2019 Good Initializations of Variational Bayes for Deep Models ICML 2019 Graph-based Discriminators: Sample Complexity and Expressiveness NeurIPS 2019 Graphite: Iterative Generative Modeling of Graphs ICML 2019 Graph Normalizing Flows NeurIPS 2019 Greedy Structure Learning of Hierarchical Compositional Models CVPR 2019 Group-based Learning of Disentangled Representations with Generalizability for Novel Contents IJCAI 2019 Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion Interspeech 2019 Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation Interspeech 2019 Harmonic Unpaired Image-to-image Translation ICLR 2019 Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation ICLR 2019 Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning CVPR 2019 HellaSwag: Can a Machine Really Finish Your Sentence? ACL 2019 HexaGAN: Generative Adversarial Nets for Real World Classification ICML 2019 Hiding Video in Audio via Reversible Generative Models ICCV 2019 Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019