Generative Models

Deep Generalized Convolutional Sum-Product Networks PGM 2020 Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation AAAI 2020 DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs NeurIPS 2020 Deep Image Blending WACV 2020 Deep Implicit Volume Compression CVPR 2020 Deep Learning—Powered Iterative Combinatorial Auctions AAAI 2020 Deep Non-Line-of-Sight Reconstruction CVPR 2020 Deep Residual Flow for Out of Distribution Detection CVPR 2020 Deep Sigma Point Processes UAI 2020 DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation NeurIPS 2020 Deep Weighted MaxSAT for Aspect-based Opinion Extraction EMNLP 2020 Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring NeurIPS 2020 DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets AAAI 2020 DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier AAAI 2020 Delexicalized Paraphrase Generation COLING 2020 Demystifying Inter-Class Disentanglement ICLR 2020 Denoising Diffusion Probabilistic Models NeurIPS 2020 DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation WACV 2020 Difference-Seeking Generative Adversarial Network--Unseen Sample Generation ICLR 2020 Differentiable Augmentation for Data-Efficient GAN Training NeurIPS 2020 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