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Variational Inference

1946 directly classified papers

Papers per year

Papers

Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020
Visual Question Generation from Radiology Images ACL 2020
Guided Variational Autoencoder for Disentanglement Learning CVPR 2020
NestedVAE: Isolating Common Factors via Weak Supervision CVPR 2020
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation CVPR 2020
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee NIPS 2020
Fast and Flexible Temporal Point Processes with Triangular Maps NIPS 2020
Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020
Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020
Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract) AAAI 2020
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020
Nonparallel Emotional Speech Conversion Using VAE-GAN INTERSPEECH 2020
Transfer Learning of the Expressivity Using FLOW Metric Learning in Multispeaker Text-to-Speech Synthesis INTERSPEECH 2020
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators AAAI 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval AAAI 2020
Meta-Amortized Variational Inference and Learning AAAI 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NIPS 2020
Vector Quantization-Based Regularization for Autoencoders AAAI 2020
Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation INTERSPEECH 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution COLING 2020
DoLFIn: Distributions over Latent Features for Interpretability COLING 2020
Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System COLING 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020