conftrace_

latent variable

541 papers

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Co-occurring keywords

variational autoencoder (1288) variational inference (2069) latent variable model (564) generative model (2892) graphical model (864) causal inference (1630) causal discovery (460) representation learning (6206) unsupervised learning (3264) dialogue generation (454)

Papers

Unified Segment-to-Segment Framework for Simultaneous Sequence Generation NIPS 2023
Sentiment as an Ordinal Latent Variable EACL 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation EMNLP 2023
An extension of disentanglement metrics and its application to voice INTERSPEECH 2023
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona ACL 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference NIPS 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations NIPS 2023
ContraFeat: Contrasting Deep Features for Semantic Discovery AAAI 2023
Learning Nonparametric Latent Causal Graphs with Unknown Interventions NIPS 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
Unsupervised speech enhancement with deep dynamical generative speech and noise models INTERSPEECH 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation NIPS 2023
Estimating Possible Causal Effects with Latent Variables via Adjustment ICML 2023
Latent Processes Identification From Multi-View Time Series IJCAI 2023
Deep equilibrium models as estimators for continuous latent variables AISTATS 2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion ICCV 2023
Tree Variational Autoencoders NIPS 2023
Unpaired Multi-Domain Causal Representation Learning NIPS 2023
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder NIPS 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity NIPS 2023
Revisiting Structured Variational Autoencoders ICML 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits ICML 2023
Generative Decoding of Visual Stimuli ICML 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs ICML 2023
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders NIPS 2023