Generative Models

Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System ACL 2019 Joint Discriminative and Generative Learning for Person Re-Identification CVPR 2019 Jointly Measuring Diversity and Quality in Text Generation Models NAACL 2019 Jointly Optimizing Diversity and Relevance in Neural Response Generation NAACL 2019 JPEG Artifacts Reduction via Deep Convolutional Sparse Coding ICCV 2019 Kernel Change-point Detection with Auxiliary Deep Generative Models ICLR 2019 Kernel Machines Beat Deep Neural Networks on Mask-Based Single-Channel Speech Enhancement Interspeech 2019 Kernel Mean Matching for Content Addressability of GANs ICML 2019 Kernel Modeling Super-Resolution on Real Low-Resolution Images ICCV 2019 KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks ICLR 2019 Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation AAAI 2019 Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019 Label-Noise Robust Generative Adversarial Networks CVPR 2019 Language Modeling with Shared Grammar ACL 2019 Large Scale Adversarial Representation Learning NeurIPS 2019 Large Scale GAN Training for High Fidelity Natural Image Synthesis ICLR 2019 Large-Scale Tag-Based Font Retrieval With Generative Feature Learning ICCV 2019 Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation NAACL 2019 Latent Normalizing Flows for Discrete Sequences ICML 2019 Latent Ordinary Differential Equations for Irregularly-Sampled Time Series NeurIPS 2019 Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP 2019 LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators ICLR 2019 LayoutVAE: Stochastic Scene Layout Generation From a Label Set ICCV 2019 Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NeurIPS 2019 Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System AAAI 2019