Variational Inference

Information Maximizing Visual Question Generation CVPR 2019 Information Theoretic lower bounds on negative log likelihood ICLR 2019 InfoVAE: Balancing Learning and Inference in Variational Autoencoders AAAI 2019 Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019 Integer Discrete Flows and Lossless Compression NeurIPS 2019 Integer Networks for Data Compression with Latent-Variable Models ICLR 2019 Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019 InverseRenderNet: Learning Single Image Inverse Rendering CVPR 2019 Language Modeling with Shared Grammar ACL 2019 Latent Variable Model for Multi-modal Translation ACL 2019 LayoutVAE: Stochastic Scene Layout Generation From a Label Set ICCV 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning ICCV 2019 Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019 Learning Hierarchical Priors in VAEs NeurIPS 2019 Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NeurIPS 2019 Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets MIDL 2019 Learning Latent Dynamics for Planning from Pixels ICML 2019 Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering ICLR 2019 Learning to Decipher Hate Symbols NAACL 2019 Learning to Write Stories with Thematic Consistency and Wording Novelty AAAI 2019 LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos ICLR 2019 Long and Diverse Text Generation with Planning-based Hierarchical Variational Model EMNLP 2019 MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders ICLR 2019 Make a Face: Towards Arbitrary High Fidelity Face Manipulation ICCV 2019