Variational Inference

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 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 Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions ICCV 2019 Zero-shot Learning via Simultaneous Generating and Learning NeurIPS 2019 Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis Interspeech 2018 Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems NeurIPS 2018 Adversarial Distillation of Bayesian Neural Network Posteriors ICML 2018 A General Method for Amortizing Variational Filtering NeurIPS 2018 A Hierarchical Latent Structure for Variational Conversation Modeling NAACL 2018 A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music ICML 2018 Amortized Inference Regularization NeurIPS 2018