Generative Models

Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018 A Convex Duality Framework for GANs NeurIPS 2018 Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis Interspeech 2018 Activation Maximization Generative Adversarial Nets ICLR 2018 A Deep Generative Model of Vowel Formant Typology NAACL 2018 A Deep Reinforced Model for Abstractive Summarization ICLR 2018 Adversarial Learning with Local Coordinate Coding ICML 2018 Adversarially Learned One-Class Classifier for Novelty Detection CVPR 2018 Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018 Adversarial Scene Editing: Automatic Object Removal from Weak Supervision NeurIPS 2018 A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts CVPR 2018 A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation CVPR 2018 A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music ICML 2018 AmbientGAN: Generative models from lossy measurements ICLR 2018 A Non-Parametric Generative Model for Human Trajectories IJCAI 2018 An OpenNMT Model to Arabic Broken Plurals COLING 2018 An Operation Network for Abstractive Sentence Compression COLING 2018 A Papier-Mâché Approach to Learning 3D Surface Generation CVPR 2018 A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks ICML 2018 A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018 A Probabilistic U-Net for Segmentation of Ambiguous Images NeurIPS 2018 Are GANs Created Equal? A Large-Scale Study NeurIPS 2018 ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM Interspeech 2018 A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NeurIPS 2018 Assessing Generative Models via Precision and Recall NeurIPS 2018