latent variable model

Probabilistic Active Meta-Learning NeurIPS 2020 Relational State-Space Model for Stochastic Multi-Object Systems ICLR 2020 Semi-Supervised Learning with Normalizing Flows ICML 2020 Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue ICLR 2020 SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition ICLR 2020 Stochastic Convolutional Recurrent Networks for Language Modeling Interspeech 2020 Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model NeurIPS 2020 Structured Output Learning with Conditional Generative Flows AAAI 2020 SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models ICLR 2020 Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models ICLR 2020 Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020 A Contrastive Divergence for Combining Variational Inference and MCMC ICML 2019 A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching ACL 2019 Adaptive Density Estimation for Generative Models NeurIPS 2019 A Latent Variable Model for Learning Distributional Relation Vectors IJCAI 2019 AutoSense Model for Word Sense Induction AAAI 2019 Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement ICCV 2019 Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables ICML 2019 Block Neural Autoregressive Flow UAI 2019 Boosting Entity Linking Performance by Leveraging Unlabeled Documents ACL 2019 Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019 Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models ICML 2019 Deep Bayesian Natural Language Processing ACL 2019 Deep Factors for Forecasting ICML 2019 Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder ICLR 2019