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

A universal probabilistic spike count model reveals ongoing modulation of neural variability NIPS 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? IJCNLP 2021
Learning compositional structures for semantic graph parsing IJCNLP 2021
End-to-End Weak Supervision NIPS 2021
Cascaded Head-colliding Attention IJCNLP 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style NIPS 2021
Federated-EM with heterogeneity mitigation and variance reduction NIPS 2021
Risk Minimization for Zero-shot Sequence Labeling IJCNLP 2021
Limitations of Autoregressive Models and Their Alternatives NAACL 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NIPS 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration NIPS 2021
Monte Carlo Variational Auto-Encoders ICML 2021
PROVIDE: a probabilistic framework for unsupervised video decomposition UAI 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021
A Generative Framework for Simultaneous Machine Translation EMNLP 2021
GTM: A Generative Triple-wise Model for Conversational Question Generation IJCNLP 2021
Generative Text Modeling through Short Run Inference EACL 2021
Model-Based Reinforcement Learning via Latent-Space Collocation ICML 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction CVPR 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021