conftrace_
← Models
Deep Learning › Models ›

Variational Inference

1,952 papers

Papers per year

2
9
31
252
103
'05
'10
'15
'20
'25

Papers

Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems CONLL 2018
Cross-Modal Deep Variational Hand Pose Estimation CVPR 2018
Lightweight Probabilistic Deep Networks CVPR 2018
Modeling Facial Geometry Using Compositional VAEs CVPR 2018
Generalized Zero-Shot Learning via Synthesized Examples CVPR 2018
Variational Autoencoders for Deforming 3D Mesh Models CVPR 2018
FlipDial: A Generative Model for Two-Way Visual Dialogue CVPR 2018
Learning From Noisy Web Data With Category-Level Supervision CVPR 2018
A Variational U-Net for Conditional Appearance and Shape Generation CVPR 2018
Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018
Neural Latent Extractive Document Summarization EMNLP 2018
Coherence-Aware Neural Topic Modeling EMNLP 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement EMNLP 2018
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision EMNLP 2018
Commonsense Justification for Action Explanation EMNLP 2018
Hierarchical CVAE for Fine-Grained Hate Speech Classification EMNLP 2018
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training EMNLP 2018
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity EMNLP 2018
Spherical Latent Spaces for Stable Variational Autoencoders EMNLP 2018
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model EMNLP 2018
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis ICML 2018
Efficient Gradient-Free Variational Inference using Policy Search ICML 2018
Mutual Information Neural Estimation ICML 2018
Quasi-Monte Carlo Variational Inference ICML 2018