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variational inference

2069 papers

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VI

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) generative model (2892) variational autoencoder (1288) latent variable model (564) probabilistic modeling (852) representation learning (6206) uncertainty quantification (1393) latent variable (541) approximate inference (253)

Papers

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021
Unsupervised Bayesian Adaptation of PLDA for Speaker Verification INTERSPEECH 2021
Variational Information Bottleneck Based Regularization for Speaker Recognition INTERSPEECH 2021
Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021
Learning Dual Priors for JPEG Compression Artifacts Removal ICCV 2021
Stochastic Transformer Networks With Linear Competing Units: Application To End-to-End SL Translation ICCV 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
3D Shape Generation and Completion Through Point-Voxel Diffusion ICCV 2021
Probabilistic Modeling for Human Mesh Recovery ICCV 2021
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition INTERSPEECH 2021
Improving Performance of Seen and Unseen Speech Style Transfer in End-to-End Neural TTS INTERSPEECH 2021
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations IJCNLP 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Variational Pedestrian Detection CVPR 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NIPS 2021
Hierarchical learning of Hidden Markov Models with clustering regularization UAI 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
Variational refinement for importance sampling using the forward Kullback-Leibler divergence UAI 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
On the Stochastic Stability of Deep Markov Models NIPS 2021
q-Paths: Generalizing the geometric annealing path using power means UAI 2021