Models

Variational Bayesian Phylogenetic Inference ICLR 2019 Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Variational Denoising Network: Toward Blind Noise Modeling and Removal NeurIPS 2019 Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow ICLR 2019 Variational Domain Adversarial Learning for Speaker Verification Interspeech 2019 Variational Few-Shot Learning ICCV 2019 Variational Graph Embedding and Clustering with Laplacian Eigenmaps IJCAI 2019 Variational Graph Recurrent Neural Networks NeurIPS 2019 Variational Hierarchical User-based Conversation Model EMNLP 2019 Variational Inference from Ranked Samples with Features ACML 2019 Variational Inference of Penalized Regression with Submodular Functions UAI 2019 Variational Information Distillation for Knowledge Transfer CVPR 2019 Variational Laplace Autoencoders ICML 2019 Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models NeurIPS 2019 Variational Noise-Contrastive Estimation AISTATS 2019 Variational Pretraining for Semi-supervised Text Classification ACL 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019 Variational Structured Semantic Inference for Diverse Image Captioning NeurIPS 2019 Variational Temporal Abstraction NeurIPS 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NeurIPS 2019 Video Compression With Rate-Distortion Autoencoders ICCV 2019 Video Generation From Single Semantic Label Map CVPR 2019 View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019