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Generative Models

6381 directly classified papers

Papers per year

Papers

On Stabilizing Generative Adversarial Training With Noise CVPR 2019
Deep Generative Video Compression NIPS 2019
DppNet: Approximating Determinantal Point Processes with Deep Networks NIPS 2019
Flow-based Image-to-Image Translation with Feature Disentanglement NIPS 2019
Classification Accuracy Score for Conditional Generative Models NIPS 2019
Compression with Flows via Local Bits-Back Coding NIPS 2019
Generative Models for Graph-Based Protein Design NIPS 2019
Quantum Wasserstein Generative Adversarial Networks NIPS 2019
Quantity doesn’t buy quality syntax with neural language models EMNLP 2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation EMNLP 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow EMNLP 2019
Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks CVPR 2019
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model EMNLP 2019
Abstractive Timeline Summarization EMNLP 2019
Towards Controllable and Personalized Review Generation EMNLP 2019
An End-to-End Generative Architecture for Paraphrase Generation EMNLP 2019
Neural Generative Rhetorical Structure Parsing EMNLP 2019
Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP 2019
Residual Flows for Invertible Generative Modeling NIPS 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation CVPR 2019
3DN: 3D Deformation Network CVPR 2019
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints CVPR 2019
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks CVPR 2019
SYSTRAN @ WNGT 2019: DGT Task EMNLP 2019
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning CVPR 2019