Co-occurring keywords · papers mentioning both
Papers
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow
ACML 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information
AAAI 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)
ICLR 2020
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
ICML 2020
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling
EMNLP 2020
Do sequence-to-sequence VAEs learn global features of sentences?
EMNLP 2020
Efficient Intervention Design for Causal Discovery with Latents
ICML 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
NeurIPS 2020
Explicit Semantic Decomposition for Definition Generation
ACL 2020
Focus-Constrained Attention Mechanism for CVAE-based Response Generation
EMNLP 2020
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials
AAAI 2020
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks
AAAI 2020
Generative Neurosymbolic Machines
NeurIPS 2020
Graph Representation Learning via Ladder Gamma Variational Autoencoders
AAAI 2020
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis
Interspeech 2020
High-Dimensional Inference for Cluster-Based Graphical Models
JMLR 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
COLING 2020
Introducing Routing Uncertainty in Capsule Networks
NeurIPS 2020
IntroVNMT: An Introspective Model for Variational Neural Machine Translation
AAAI 2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
EMNLP 2020
Jointly Trained Image and Video Generation using Residual Vectors
WACV 2020
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior
AAAI 2020
Learning Agent Representations for Ice Hockey
NeurIPS 2020
Learning from Rules Generalizing Labeled Exemplars
ICLR 2020
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
AAAI 2020