Models

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search NeurIPS 2020 GPT-too: A Language-Model-First Approach for AMR-to-Text Generation ACL 2020 GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020 Gradient Estimation with Stochastic Softmax Tricks NeurIPS 2020 GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis NeurIPS 2020 GramGAN: Deep 3D Texture Synthesis From 2D Exemplars NeurIPS 2020 GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020 Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020 Graph Structured Network for Image-Text Matching CVPR 2020 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NeurIPS 2020 GTCOM Neural Machine Translation Systems for WMT20 EMNLP 2020 Guided Variational Autoencoder for Disentanglement Learning CVPR 2020 Guiding Deep Molecular Optimization with Genetic Exploration NeurIPS 2020 Guiding Variational Response Generator to Exploit Persona ACL 2020 HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features IJCAI 2020 Hallucinative Topological Memory for Zero-Shot Visual Planning ICML 2020 Hamiltonian Generative Networks ICLR 2020 Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition AAAI 2020 Hashing Based Answer Selection AAAI 2020 HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting CVPR 2020 Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation ICLR 2020 Hierarchical Generation of Molecular Graphs using Structural Motifs ICML 2020 Hierarchical Modes Exploring in Generative Adversarial Networks AAAI 2020 Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis Interspeech 2020