Models

Quasi-Monte Carlo Variational Inference ICML 2018 RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets ACML 2018 Recovering Missing Characters in Old Hawaiian Writing EMNLP 2018 Recurrent World Models Facilitate Policy Evolution NeurIPS 2018 Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation Interspeech 2018 Redundancy-resistant Generative Hashing for Image Retrieval IJCAI 2018 Reparameterization Gradient for Non-differentiable Models NeurIPS 2018 Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018 Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality ACL 2018 Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid IJCAI 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Scalable and Effective Deep CCA via Soft Decorrelation CVPR 2018 Scalable Factorized Hierarchical Variational Autoencoder Training Interspeech 2018 Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018 Scalable Generalized Dynamic Topic Models AISTATS 2018 SCAN: Learning Hierarchical Compositional Visual Concepts ICLR 2018 SeGAN: Segmenting and Generating the Invisible CVPR 2018 Self-Supervised Generation of Spatial Audio for 360° Video NeurIPS 2018 Semantic Interpolation in Implicit Models ICLR 2018 Semantic Parsing with Syntax- and Table-Aware SQL Generation ACL 2018 Semantic Visual Localization CVPR 2018 Semi-Amortized Variational Autoencoders ICML 2018 Semi-crowdsourced Clustering with Deep Generative Models NeurIPS 2018 Semi-Implicit Variational Inference ICML 2018 Semi-Parametric Image Synthesis CVPR 2018