conftrace_

latent variable model

564 papers

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Also known as

LVM

Co-occurring keywords

variational inference (2069) latent variable (541) variational autoencoder (1288) gaussian process (1200) bayesian inference (1907) generative model (2892) expectation maximization (255) unsupervised learning (3264) probabilistic modeling (852) probabilistic model (476)

Papers

Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Monte Carlo Variational Auto-Encoders ICML 2021
A Generative Framework for Simultaneous Machine Translation EMNLP 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration NIPS 2021
End-to-End Weak Supervision NIPS 2021
Risk Minimization for Zero-shot Sequence Labeling ACL 2021
Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021
On Estimation in Latent Variable Models ICML 2021
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables JMLR 2021
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021
Federated-EM with heterogeneity mitigation and variance reduction NIPS 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests AAAI 2021
CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation EMNLP 2021
FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models NAACL 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models ICML 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows ICML 2020
Gradient Estimation with Stochastic Softmax Tricks NIPS 2020
Denoising Diffusion Probabilistic Models NIPS 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE NIPS 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data NIPS 2020
Dynamic Neural Relational Inference CVPR 2020
Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra INTERSPEECH 2020
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation AAAI 2020