Models

Multilingual AMR-to-Text Generation EMNLP 2020 Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments CoRL 2020 Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence NeurIPS 2020 Multi-Objective Molecule Generation using Interpretable Substructures ICML 2020 Multiscale Collaborative Deep Models for Neural Machine Translation ACL 2020 Multi-Source Distilling Domain Adaptation AAAI 2020 Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network Interspeech 2020 Multi-Speaker Text-to-Speech Synthesis Using Deep Gaussian Processes Interspeech 2020 NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NeurIPS 2020 Narrative Text Generation with a Latent Discrete Plan EMNLP 2020 Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding EMNLP 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020 NestedVAE: Isolating Common Factors via Weak Supervision CVPR 2020 Network-to-Network Translation with Conditional Invertible Neural Networks NeurIPS 2020 Neural Blind Deconvolution Using Deep Priors CVPR 2020 Neural Cages for Detail-Preserving 3D Deformations CVPR 2020 Neural Contours: Learning to Draw Lines From 3D Shapes CVPR 2020 Neural Decomposition: Functional ANOVA with Variational Autoencoders AISTATS 2020 Neural Likelihoods via Cumulative Distribution Functions UAI 2020 Neural Manifold Ordinary Differential Equations NeurIPS 2020 Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows NeurIPS 2020 Neural Mixed Counting Models for Dispersed Topic Discovery ACL 2020 Neural Networks with Recurrent Generative Feedback NeurIPS 2020 Neural Pose Transfer by Spatially Adaptive Instance Normalization CVPR 2020 Neural Puppet: Generative Layered Cartoon Characters WACV 2020