Models

Generative Image Inpainting With Contextual Attention CVPR 2018 Generative modeling for protein structures NeurIPS 2018 Generative Modeling Using the Sliced Wasserstein Distance CVPR 2018 Generative Models of Visually Grounded Imagination ICLR 2018 Generative networks as inverse problems with Scattering transforms ICLR 2018 Generative Neural Machine Translation NeurIPS 2018 Generative Probabilistic Novelty Detection with Adversarial Autoencoders NeurIPS 2018 Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018 Generative Warfare Nets: Ensemble via Adversaries and Collaborators IJCAI 2018 Geometric Enclosing Networks IJCAI 2018 Geometry Based Data Generation NeurIPS 2018 Geometry Score: A Method For Comparing Generative Adversarial Networks ICML 2018 GILBO: One Metric to Measure Them All NeurIPS 2018 Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk COLT 2018 Global Versus Localized Generative Adversarial Nets CVPR 2018 Glow: Generative Flow with Invertible 1x1 Convolutions NeurIPS 2018 Gradient Estimators for Implicit Models ICLR 2018 Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018 GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model EMNLP 2018 Graphical Generative Adversarial Networks NeurIPS 2018 GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NeurIPS 2018 GumBolt: Extending Gumbel trick to Boltzmann priors NeurIPS 2018 Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning CVPR 2018 Hamiltonian Variational Auto-Encoder NeurIPS 2018 HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN CVPR 2018