| ALLSH: Active Learning Guided by Local Sensitivity and Hardness. | 0 | 0.34 | 2022 |
| Learning Prototype-oriented Set Representations for Meta-Learning | 0 | 0.34 | 2022 |
| Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings | 0 | 0.34 | 2022 |
| Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning | 0 | 0.34 | 2022 |
| Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data | 0 | 0.34 | 2022 |
| Bayesian Deep Embedding Topic Meta-Learner. | 0 | 0.34 | 2022 |
| Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. | 0 | 0.34 | 2022 |
| Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection. | 0 | 0.34 | 2022 |
| Bayesian Attention Belief Networks | 0 | 0.34 | 2021 |
| Polarimetric Helmholtz Stereopsis. | 0 | 0.34 | 2021 |
| Hyperbolic Graph Embedding With Enhanced Semi-Implicit Variational Inference | 0 | 0.34 | 2021 |
| TopicNet: Semantic Graph-Guided Topic Discovery. | 0 | 0.34 | 2021 |
| Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network | 0 | 0.34 | 2021 |
| Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference | 0 | 0.34 | 2021 |
| Probabilistic Margins for Instance Reweighting in Adversarial Training. | 0 | 0.34 | 2021 |
| Structure From Motion on XSlit Cameras | 0 | 0.34 | 2021 |
| Arms: Antithetic-Reinforce-Multi-Sample Gradient For Binary Variables | 0 | 0.34 | 2021 |
| Adversarially Adaptive Normalization for Single Domain Generalization | 0 | 0.34 | 2021 |
| Contextual Dropout: An Efficient Sample-Dependent Dropout Module | 0 | 0.34 | 2021 |
| Graph Gamma Process Linear Dynamical Systems | 0 | 0.34 | 2021 |
| Gradient Estimation Of Information Measures In Deep Learning | 0 | 0.34 | 2021 |
| Switching Poisson Gamma Dynamical Systems | 0 | 0.34 | 2020 |
| Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field. | 1 | 0.35 | 2020 |
| Bayesian Attention Modules | 0 | 0.34 | 2020 |
| Friendly Topic Assistant for Transformer Based Abstractive Summarization. | 0 | 0.34 | 2020 |
| Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator | 0 | 0.34 | 2020 |
| Bayesian Graph Neural Networks with Adaptive Connection Sampling | 1 | 0.34 | 2020 |
| Recurrent Hierarchical Topic-Guided RNN for Language Generation | 0 | 0.34 | 2020 |
| Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation | 0 | 0.34 | 2020 |
| Implicit Distributional Reinforcement Learning | 0 | 0.34 | 2020 |
| Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network | 0 | 0.34 | 2020 |
| Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling | 0 | 0.34 | 2020 |
| Bidirectional Convolutional Poisson Gamma Dynamical Systems | 0 | 0.34 | 2020 |
| Semi-supervised Learning using Adversarial Training with Good and Bad Samples | 0 | 0.34 | 2020 |
| Meta-Learning without Memorization | 0 | 0.34 | 2020 |
| Mutual Information Gradient Estimation for Representation Learning | 0 | 0.34 | 2020 |
| Semi-Implicit Generative Model. | 0 | 0.34 | 2019 |
| Content Aware Image Pre-Compensation. | 0 | 0.34 | 2019 |
| Convolutional Poisson Gamma Belief Network. | 0 | 0.34 | 2019 |
| Variational Autoencoders for Sparse and Overdispersed Discrete Data. | 0 | 0.34 | 2019 |
| Variational Graph Recurrent Neural Networks | 2 | 0.36 | 2019 |
| Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field. | 0 | 0.34 | 2019 |
| Poisson-randomized Gamma Dynamical Systems | 0 | 0.34 | 2019 |
| Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling. | 0 | 0.34 | 2019 |
| ARM - Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks. | 2 | 0.36 | 2019 |
| Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy. | 0 | 0.34 | 2019 |
| Bayesian negative binomial regression for differential expression with confounding factors. | 0 | 0.34 | 2019 |
| Semi-Implicit Graph Variational Auto-Encoders | 2 | 0.36 | 2019 |
| Locally Private Bayesian Inference for Count Models. | 0 | 0.34 | 2019 |
| ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. | 2 | 0.35 | 2019 |
