conftrace_

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

Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder CVPR 2023
Eliciting Rich Positive Emotions in Dialogue Generation ACL 2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models UAI 2023
Vacant holes for unsupervised detection of the outliers in compact latent representation UAI 2023
Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control EMNLP 2023
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ICML 2023
Learning Disentangled Representations for Natural Language Definitions EACL 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023
Reinforcement Learning for Topic Models ACL 2023
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023
Revisiting Structured Variational Autoencoders ICML 2023
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders ICML 2023
Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis AAAI 2023
Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes CORL 2023
Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023
Unveiling the Latent Space Geometry of Push-Forward Generative Models ICML 2023
GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract) AAAI 2023
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space EMNLP 2023
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations ICML 2023
Unscented Autoencoder ICML 2023