Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. | 0 | 0.34 | 2021 |
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | 0 | 0.34 | 2021 |
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation | 0 | 0.34 | 2020 |
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. | 2 | 0.36 | 2019 |
Note on the bias and variance of variational inference. | 0 | 0.34 | 2019 |
Investigating Biases in Textual Entailment Datasets. | 0 | 0.34 | 2019 |
Probability Distillation - A Caveat and Alternatives. | 0 | 0.34 | 2019 |
Hierarchical Importance Weighted Autoencoders. | 1 | 0.35 | 2019 |
Improving Explorability in Variational Inference with Annealed Variational Objectives. | 0 | 0.34 | 2018 |
Generating Contradictory, Neutral, and Entailing Sentences. | 0 | 0.34 | 2018 |
Neural Language Modeling by Jointly Learning Syntax and Lexicon. | 0 | 0.34 | 2018 |
Neural Autoregressive Flows. | 0 | 0.34 | 2018 |
Bayesian Hypernetworks. | 0 | 0.34 | 2017 |
Learnable Explicit Density for Continuous Latent Space and Variational Inference. | 0 | 0.34 | 2017 |
Neural Language Modeling by Jointly Learning Syntax and Lexicon. | 5 | 0.42 | 2017 |