Models

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021 Scalable Font Reconstruction with Dual Latent Manifolds EMNLP 2021 Scalable Gaussian Process Variational Autoencoders AISTATS 2021 Scalable Normalizing Flows for Permutation Invariant Densities ICML 2021 Scaling Effect of Self-Supervised Speech Models Interspeech 2021 Scaling Gaussian Processes with Derivative Information Using Variational Inference NeurIPS 2021 Scaling-Up Disentanglement for Image Translation ICCV 2021 Scene-Aware Generative Network for Human Motion Synthesis CVPR 2021 SceneGen: Learning To Generate Realistic Traffic Scenes CVPR 2021 Scene Synthesis via Uncertainty-Driven Attribute Synchronization ICCV 2021 Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network AAAI 2021 Score-based Generative Modeling in Latent Space NeurIPS 2021 Score-Based Generative Modeling through Stochastic Differential Equations ICLR 2021 Score-based Generative Neural Networks for Large-Scale Optimal Transport NeurIPS 2021 Score-Based Point Cloud Denoising ICCV 2021 SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning CVPR 2021 Segatron: Segment-Aware Transformer for Language Modeling and Understanding AAAI 2021 Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention ACL 2021 Self-Conditioned Probabilistic Learning of Video Rescaling ICCV 2021 Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks NeurIPS 2021 Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators CVPR 2021 Self Normalizing Flows ICML 2021 Self-Supervised 3D Face Reconstruction via Conditional Estimation ICCV 2021