Co-occurring keywords · papers mentioning both
Papers
Iterative Amortized Inference
ICML 2018
Large-Scale Distance Metric Learning With Uncertainty
CVPR 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex
NeurIPS 2018
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
ICML 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
ICLR 2018
Learning to Round for Discrete Labeling Problems
AISTATS 2018
Learning with Structured Representations for Negation Scope Extraction
ACL 2018
Matrix-normal models for fMRI analysis
AISTATS 2018
Neural Latent Extractive Document Summarization
EMNLP 2018
Neural Ordinary Differential Equations
NeurIPS 2018
Point process latent variable models of larval zebrafish behavior
NeurIPS 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
NeurIPS 2018
Robust and Scalable Models of Microbiome Dynamics
ICML 2018
Robust Synthetic Control
JMLR 2018
Scalable Factorized Hierarchical Variational Autoencoder Training
Interspeech 2018
Stochastic Expectation Maximization with Variance Reduction
NeurIPS 2018
Stochastic Variational Video Prediction
ICLR 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
ACL 2018
Student-t Variational Autoencoder for Robust Density Estimation
IJCAI 2018
Temporal alignment and latent Gaussian process factor inference in population spike trains
NeurIPS 2018
Trajectory-User Linking via Variational AutoEncoder
IJCAI 2018
Unsupervised Bilingual Lexicon Induction via Latent Variable Models
EMNLP 2018
VAE with a VampPrior
AISTATS 2018
Variational Inference and Deep Generative Models
ACL 2018
Variational Memory Encoder-Decoder
NeurIPS 2018