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variational autoencoder

1288 papers

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Co-occurring keywords

generative model (2892) variational inference (2069) latent space (854) representation learning (6206) latent representation (418) latent variable (541) disentangled representation (521) unsupervised learning (3264) latent variable model (564) generative adversarial network (1944)

Papers

Visual Adversarial Imitation Learning using Variational Models NIPS 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations AAAI 2021
Open-Set Recognition with Gaussian Mixture Variational Autoencoders AAAI 2021
Generalized Zero-Shot Learning via Disentangled Representation AAAI 2021
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models NIPS 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces ICCV 2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators ICCV 2021
Simple and Effective VAE Training with Calibrated Decoders ICML 2021
On the Value of Infinite Gradients in Variational Autoencoder Models NIPS 2021
Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations ICCV 2021
Towards the Unseen: Iterative Text Recognition by Distilling From Errors ICCV 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
Semantics Disentangling for Generalized Zero-Shot Learning ICCV 2021
CanvasVAE: Learning To Generate Vector Graphic Documents ICCV 2021
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning ICCV 2021
Many-to-Many Voice Conversion Based Feature Disentanglement Using Variational Autoencoder INTERSPEECH 2021
A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families JMLR 2021
Learning Robust Speech Representation with an Articulatory-Regularized Variational Autoencoder INTERSPEECH 2021
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding NIPS 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020
Neural Decomposition: Functional ANOVA with Variational Autoencoders AISTATS 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning AISTATS 2020
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder IJCAI 2020
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation AACL 2020