Generative Models

GDPP: Learning Diverse Generations using Determinantal Point Processes ICML 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NeurIPS 2019 Generalized Sliced Wasserstein Distances NeurIPS 2019 Generating Diverse High-Fidelity Images with VQ-VAE-2 NeurIPS 2019 Generating Diverse Translations with Sentence Codes ACL 2019 GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING ICLR 2019 Generating Multiple Diverse Responses for Short-Text Conversation AAAI 2019 Generating Multiple Objects at Spatially Distinct Locations ICLR 2019 Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints EMNLP 2019 Generating Text through Adversarial Training Using Skip-Thought Vectors NAACL 2019 Generative Adversarial Minority Oversampling ICCV 2019 Generative Adversarial Networks for Extreme Learned Image Compression ICCV 2019 Generative Adversarial Networks for Text Using Word2vec Intermediaries ACL 2019 Generative Adversarial Training for Weakly Supervised Cloud Matting ICCV 2019 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019 Generative Code Modeling with Graphs ICLR 2019 Generative Dual Adversarial Network for Generalized Zero-Shot Learning CVPR 2019 Generative Image Translation for Data Augmentation of Bone Lesion Pathology MIDL 2019 Generative Modeling by Estimating Gradients of the Data Distribution NeurIPS 2019 Generative Modeling for Small-Data Object Detection ICCV 2019 Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation ICML 2019 Generative Models for Graph-Based Protein Design NeurIPS 2019 Generative predecessor models for sample-efficient imitation learning ICLR 2019 Generative Well-intentioned Networks NeurIPS 2019