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 Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals MLHC 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 Deep Structural Causal Models for Tractable Counterfactual Inference NeurIPS 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 DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020 DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation WACV 2020 Dialogue Response Ranking Training with Large-Scale Human Feedback Data EMNLP 2020 Difference-Seeking Generative Adversarial Network--Unseen Sample Generation ICLR 2020 Differentiable Augmentation for Data-Efficient GAN Training NeurIPS 2020 Diffusion Variational Autoencoders IJCAI 2020