Variational Inference

Generalized Variational Continual Learning ICLR 2021 Generalized Zero-Shot Learning via Disentangled Representation AAAI 2021 Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE CVPR 2021 Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection AAAI 2021 Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation AAAI 2021 Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders ACL 2021 Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021 Generative Scene Graph Networks ICLR 2021 Generative Text Modeling through Short Run Inference EACL 2021 Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021 Glow-WaveGAN: Learning Speech Representations from GAN-Based Variational Auto-Encoder for High Fidelity Flow-Based Speech Synthesis Interspeech 2021 GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021 Gradient Origin Networks ICLR 2021 Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction CVPR 2021 HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021 Hierarchical Autoregressive Modeling for Neural Video Compression ICLR 2021 Hierarchical VAEs Know What They Don’t Know ICML 2021 HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders AAAI 2021 HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning NeurIPS 2021 HuMoR: 3D Human Motion Model for Robust Pose Estimation ICCV 2021 Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021 HyperSPNs: Compact and Expressive Probabilistic Circuits NeurIPS 2021 Improving black-box optimization in VAE latent space using decoder uncertainty NeurIPS 2021 Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021