latent variable

Learning to Write Stories with Thematic Consistency and Wording Novelty AAAI 2019 Long and Diverse Text Generation with Planning-based Hierarchical Variational Model EMNLP 2019 Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019 Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables AAAI 2019 Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders EMNLP 2019 Modeling the Long Term Future in Model-Based Reinforcement Learning ICLR 2019 Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning JMLR 2019 Multiple Futures Prediction NeurIPS 2019 Multi-Source Neural Variational Inference AAAI 2019 Neural Gaussian Copula for Variational Autoencoder EMNLP 2019 Neural Probabilistic Motor Primitives for Humanoid Control ICLR 2019 Neural Separation of Observed and Unobserved Distributions ICML 2019 Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision ICLR 2019 Preventing Posterior Collapse with delta-VAEs ICLR 2019 Re-examination of the Role of Latent Variables in Sequence Modeling NeurIPS 2019 Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation ACL 2019 Self Attention in Variational Sequential Learning for Summarization Interspeech 2019 Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR 2019 Syntax-Infused Variational Autoencoder for Text Generation ACL 2019 T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion IJCAI 2019 Tensor Monte Carlo: Particle Methods for the GPU era NeurIPS 2019 Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019 Triad Constraints for Learning Causal Structure of Latent Variables NeurIPS 2019 Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019 Variational Autoencoders with Jointly Optimized Latent Dependency Structure ICLR 2019