← Models
Deep Learning › Models ›

Variational Inference

1946 directly classified papers

Papers per year

Papers

Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation CVPR 2017
Piecewise Latent Variables for Neural Variational Text Processing EMNLP 2017
Deep Recurrent Generative Decoder for Abstractive Text Summarization EMNLP 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017
Automatic Differentiation Variational Inference JMLR 2017
A Conditional Variational Framework for Dialog Generation ACL 2017
Non-parametric Structured Output Networks NIPS 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NIPS 2017
Differentiable Learning of Submodular Models NIPS 2017
Deep Mean-Shift Priors for Image Restoration NIPS 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017
Latent Intention Dialogue Models ICML 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering IJCAI 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
Filtering Variational Objectives NIPS 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ICML 2017
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017
Scalable Variational Inference for Super Resolution Microscopy AISTATS 2017
Learning Structured Weight Uncertainty in Bayesian Neural Networks AISTATS 2017
Inference Compilation and Universal Probabilistic Programming AISTATS 2017
A Generative Parser with a Discriminative Recognition Algorithm ACL 2017
Learning Diverse Image Colorization CVPR 2017
Creativity: Generating Diverse Questions Using Variational Autoencoders CVPR 2017