variational autoencoder

Learning from Multiple Sources for Data-to-Text and Text-to-Data AISTATS 2023 Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation WACV 2023 Learning Incoherent Light Emission Steering From Metasurfaces Using Generative Models WACV 2023 Learning Latent Structural Relations With Message Passing Prior WACV 2023 Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features AAAI 2023 Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy AAAI 2023 Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue EMNLP 2023 Lossy Image Compression With Quantized Hierarchical VAEs WACV 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 Markovian Gaussian Process Variational Autoencoders ICML 2023 Metagenomic Binning using Connectivity-constrained Variational Autoencoders ICML 2023 Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation NeurIPS 2023 Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control EMNLP 2023 MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises ICLR 2023 Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023 Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder NeurIPS 2023 Multimodal Variational Auto-encoder based Audio-Visual Segmentation ICCV 2023 Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve ICLR 2023 Narrator: Towards Natural Control of Human-Scene Interaction Generation via Relationship Reasoning ICCV 2023 Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models CVPR 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023 Nonlinear Causal Discovery with Latent Confounders ICML 2023 Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation CVPR 2023 Offline Imitation Learning with Variational Counterfactual Reasoning NeurIPS 2023