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Variational Inference

1946 directly classified papers

Papers per year

Papers

Quantized Variational Inference NIPS 2020
Diverse Plausible Shape Completions from Ambiguous Depth Images CORL 2020
Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow ACML 2020
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020
DIVA: Domain Invariant Variational Autoencoders MIDL 2020
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph EMNLP 2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning INTERSPEECH 2020
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation INTERSPEECH 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020
GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020
Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder INTERSPEECH 2020
Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra INTERSPEECH 2020
Prediction of Head Motion from Speech Waveforms with a Canonical-Correlation-Constrained Autoencoder INTERSPEECH 2020
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers EMNLP 2020
Deep Structural Causal Models for Tractable Counterfactual Inference NIPS 2020
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling EMNLP 2020
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation CVPR 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR 2020
Data Uncertainty Learning in Face Recognition CVPR 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds CVPR 2020
Semi-supervised New Event Type Induction and Event Detection EMNLP 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020