variational autoencoder

Learning to Learn Graph Topologies NeurIPS 2021 Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck NeurIPS 2021 Local Disentanglement in Variational Auto-Encoders Using Jacobian L_1 Regularization NeurIPS 2021 Longitudinal Variational Autoencoder AISTATS 2021 Many-to-Many Voice Conversion Based Feature Disentanglement Using Variational Autoencoder Interspeech 2021 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning ICLR 2021 Meta-Learning Divergences for Variational Inference AISTATS 2021 Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation AAAI 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Monte Carlo Variational Auto-Encoders ICML 2021 MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space ICML 2021 Multi-Facet Clustering Variational Autoencoders NeurIPS 2021 Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering ICCV 2021 My House, My Rules: Learning Tidying Preferences with Graph Neural Networks CoRL 2021 NeRF-VAE: A Geometry Aware 3D Scene Generative Model ICML 2021 Neural Attention-Aware Hierarchical Topic Model EMNLP 2021 Neural Topic Model via Optimal Transport ICLR 2021 NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces CVPR 2021 Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder IJCAI 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021 Online Variational Filtering and Parameter Learning NeurIPS 2021 On Memorization in Probabilistic Deep Generative Models NeurIPS 2021 On the Value of Infinite Gradients in Variational Autoencoder Models NeurIPS 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 Open Domain Dialogue Generation with Latent Images AAAI 2021