Models

Structured Probabilistic End-to-End Learning from Crowds IJCAI 2020 Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020 Structure Preserving Generative Cross-Domain Learning CVPR 2020 StyleDGPT: Stylized Response Generation with Pre-trained Language Models EMNLP 2020 StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images CVPR 2020 SubSpace Capsule Network AAAI 2020 SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models ICLR 2020 Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations PGM 2020 Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks IJCAI 2020 Supervised and Unsupervised Learning of Parameterized Color Enhancement WACV 2020 SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving CVPR 2020 SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows NeurIPS 2020 Swapping Autoencoder for Deep Image Manipulation NeurIPS 2020 Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control ICLR 2020 SynSin: End-to-End View Synthesis From a Single Image CVPR 2020 Synthesizing Programmatic Policies that Inductively Generalize ICLR 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data ACL 2020 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks CVPR 2020 Teaching a GAN What Not to Learn NeurIPS 2020 Telescoping Density-Ratio Estimation NeurIPS 2020 Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation Interspeech 2020 Temporal Common Sense Acquisition with Minimal Supervision ACL 2020 Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NeurIPS 2020 Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging AAAI 2020