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Generative Models

6381 directly classified papers

Papers per year

Papers

Recurrent World Models Facilitate Policy Evolution NIPS 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images NIPS 2018
GILBO: One Metric to Measure Them All NIPS 2018
Banach Wasserstein GAN NIPS 2018
Multivariate Time Series Imputation with Generative Adversarial Networks NIPS 2018
Deep Generative Models with Learnable Knowledge Constraints NIPS 2018
Deep Generative Markov State Models NIPS 2018
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NIPS 2018
Generative Neural Machine Translation NIPS 2018
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN NIPS 2018
Conditional Generators of Words Definitions ACL 2018
Deep-speare: A joint neural model of poetic language, meter and rhyme ACL 2018
Semantic Parsing with Syntax- and Table-Aware SQL Generation ACL 2018
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models ACL 2018
Learning to Automatically Generate Fill-In-The-Blank Quizzes ACL 2018
NeuralREG: An end-to-end approach to referring expression generation ACL 2018
Image Super-Resolution via Dual-State Recurrent Networks CVPR 2018
Scalable and Effective Deep CCA via Soft Decorrelation CVPR 2018
GAGAN: Geometry-Aware Generative Adversarial Networks CVPR 2018
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis CVPR 2018
Style Aggregated Network for Facial Landmark Detection CVPR 2018
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation CVPR 2018
Learning Face Age Progression: A Pyramid Architecture of GANs CVPR 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling ACL 2018