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Variational Inference

1,952 papers

Papers per year

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Papers

Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020
Stochastic Neural Network with Kronecker Flow AISTATS 2020
Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020
Adaptive, Distribution-Free Prediction Intervals for Deep Networks AISTATS 2020
Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution COLING 2020
DoLFIn: Distributions over Latent Features for Interpretability COLING 2020
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding COLING 2020
Auto-Encoding Variational Bayes for Inferring Topics and Visualization COLING 2020
Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020
Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System COLING 2020
Variational Context-Deformable ConvNets for Indoor Scene Parsing CVPR 2020
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020
Weakly-Supervised Action Localization by Generative Attention Modeling CVPR 2020
PatchVAE: Learning Local Latent Codes for Recognition CVPR 2020
Bringing Old Photos Back to Life CVPR 2020
Towards Visually Explaining Variational Autoencoders CVPR 2020
Guided Variational Autoencoder for Disentanglement Learning CVPR 2020
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds CVPR 2020
NestedVAE: Isolating Common Factors via Weak Supervision CVPR 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020
Probabilistic Structural Latent Representation for Unsupervised Embedding CVPR 2020
Flow Contrastive Estimation of Energy-Based Models CVPR 2020
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation CVPR 2020
Data Uncertainty Learning in Face Recognition CVPR 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020