Models

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021 Variational Inference for Continuous-Time Switching Dynamical Systems NeurIPS 2021 Variational Inference for Learning Representations of Natural Language Edits AAAI 2021 Variational inference for nonlinear ordinary differential equations AISTATS 2021 Variational inference with continuously-indexed normalizing flows UAI 2021 Variational Information Bottleneck Based Regularization for Speaker Recognition Interspeech 2021 Variational Information Bottleneck for Effective Low-Resource Audio Classification Interspeech 2021 Variational Model Inversion Attacks NeurIPS 2021 Variational Pedestrian Detection CVPR 2021 Variational Prototype Inference for Few-Shot Semantic Segmentation WACV 2021 Variational refinement for importance sampling using the forward Kullback-Leibler divergence UAI 2021 Variational Relational Point Completion Network CVPR 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021 Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF ICLR 2021 Variational Transformer Networks for Layout Generation CVPR 2021 VariTex: Variational Neural Face Textures ICCV 2021 VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts CVPR 2021 Vector Quantized Bayesian Neural Network Inference for Data Streams AAAI 2021 Vector Quantized Models for Planning ICML 2021 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images ICLR 2021 Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation AAAI 2021 Viewmaker Networks: Learning Views for Unsupervised Representation Learning ICLR 2021 Viewpoint-Agnostic Image Rendering WACV 2021 VinVL: Revisiting Visual Representations in Vision-Language Models CVPR 2021 Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers EMNLP 2021