Models

Digital Voicing of Silent Speech EMNLP 2020 Dirichlet Graph Variational Autoencoder NeurIPS 2020 DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NeurIPS 2020 Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020 Discriminative Non-Parametric Learning of Arithmetic Circuits PGM 2020 Disentangled Image Generation Through Structured Noise Injection CVPR 2020 Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020 Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model IJCAI 2020 Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) ICLR 2020 Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction CVPR 2020 Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation ICML 2020 Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract) AAAI 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020 Distortion Agnostic Deep Watermarking CVPR 2020 DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing CVPR 2020 Distributional Robustness with IPMs and links to Regularization and GANs NeurIPS 2020 Distribution Augmentation for Generative Modeling ICML 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 DIVA: Domain Invariant Variational Autoencoders MIDL 2020 Diverse Image Generation via Self-Conditioned GANs CVPR 2020 Diverse Plausible Shape Completions from Ambiguous Depth Images CoRL 2020 Diverse Trajectory Forecasting with Determinantal Point Processes ICLR 2020 Diversified Arbitrary Style Transfer via Deep Feature Perturbation CVPR 2020 Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020 Diversity Transfer Network for Few-Shot Learning AAAI 2020