Generative Models

A Learned Representation for Scalable Vector Graphics ICCV 2019 A Model to Search for Synthesizable Molecules NeurIPS 2019 An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss AAAI 2019 Analysis by Adversarial Synthesis — A Novel Approach for Speech Vocoding Interspeech 2019 An Encoding Adversarial Network for Anomaly Detection ACML 2019 An End-to-End Generative Architecture for Paraphrase Generation EMNLP 2019 An Internal Learning Approach to Video Inpainting ICCV 2019 Anomaly Detection With Multiple-Hypotheses Predictions ICML 2019 Answer-based Adversarial Training for Generating Clarification Questions NAACL 2019 APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs CVPR 2019 A Personalized Affective Memory Model for Improving Emotion Recognition ICML 2019 Approximability of Discriminators Implies Diversity in GANs ICLR 2019 A Primal-Dual link between GANs and Autoencoders NeurIPS 2019 A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models NeurIPS 2019 A Probabilistic Generative Model of Linguistic Typology NAACL 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019 A Real-Time Wideband Neural Vocoder at 1.6kb/s Using LPCNet Interspeech 2019 A recurrent Markov state-space generative model for sequences AISTATS 2019 Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References ACL 2019 ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks ICLR 2019 Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums ACL 2019 A Solvable High-Dimensional Model of GAN NeurIPS 2019 A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders Interspeech 2019 A Style-Based Generator Architecture for Generative Adversarial Networks CVPR 2019 A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019