variational autoencoder

From Variational to Deterministic Autoencoders ICLR 2020 Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NeurIPS 2020 Generalized Zero-Shot Learning via Over-Complete Distribution CVPR 2020 Generating 3D People in Scenes Without People CVPR 2020 Generating and Exploiting Probabilistic Monocular Depth Estimates CVPR 2020 Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs ACL 2020 GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models CVPR 2020 GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020 Gradient Boosted Normalizing Flows NeurIPS 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020 Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020 Guided Variational Autoencoder for Disentanglement Learning CVPR 2020 HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features IJCAI 2020 Hallucinative Topological Memory for Zero-Shot Visual Planning ICML 2020 Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis Interspeech 2020 Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample NeurIPS 2020 Hierarchical Quantized Autoencoders NeurIPS 2020 HiLLoC: lossless image compression with hierarchical latent variable models ICLR 2020 ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping NeurIPS 2020 Identifying through Flows for Recovering Latent Representations ICLR 2020 Image-Adaptive GAN Based Reconstruction AAAI 2020 Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation CVPR 2020 Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation Interspeech 2020 Improving Inference for Neural Image Compression NeurIPS 2020 Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation COLING 2020