Deep Learning

Variance Networks: When Expectation Does Not Meet Your Expectations ICLR 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variance reduction properties of the reparameterization trick AISTATS 2019 Variational Adversarial Active Learning ICCV 2019 Variational Attention Using Articulatory Priors for Generating Code Mixed Speech Using Monolingual Corpora Interspeech 2019 Variational Autoencoders Pursue PCA Directions (by Accident) CVPR 2019 Variational Autoencoders with Jointly Optimized Latent Dependency Structure ICLR 2019 Variational Autoencoder with Arbitrary Conditioning ICLR 2019 Variational Bayesian Dropout With a Hierarchical Prior CVPR 2019 Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function Interspeech 2019 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