| Dataset Meta-Learning from Kernel Ridge-Regression. | 0 | 0.34 | 2021 |
| Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. | 0 | 0.34 | 2019 |
| Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering | 1 | 0.35 | 2019 |
| You Look Twice: Gaternet For Dynamic Filter Selection In Cnns | 4 | 0.39 | 2019 |
| A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. | 0 | 0.34 | 2019 |
| Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. | 0 | 0.34 | 2019 |
| GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network. | 2 | 0.36 | 2018 |
| Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion. | 0 | 0.34 | 2018 |
| Building Sparse Deep Feedforward Networks using Tree Receptive Fields. | 0 | 0.34 | 2018 |
| Building Sparse Deep Feedforward Networks using Tree Receptive Fields. | 0 | 0.34 | 2018 |
| Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional Clustering. | 0 | 0.34 | 2018 |
| Document Generation with Hierarchical Latent Tree Models. | 0 | 0.34 | 2017 |
| Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. | 3 | 0.39 | 2017 |
| Latent Tree Models for Hierarchical Topic Detection. | 7 | 0.46 | 2017 |
| Progressive EM for Latent Tree Models and Hierarchical Topic Detection. | 10 | 0.57 | 2016 |
| Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis. | 0 | 0.34 | 2016 |
| Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting | 201 | 6.32 | 2015 |
