Models

Structuring Latent Spaces for Stylized Response Generation EMNLP 2019 Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation ACL 2019 Subspace Inference for Bayesian Deep Learning UAI 2019 SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection AAAI 2019 Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models Interspeech 2019 Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules NeurIPS 2019 Syntax-Infused Variational Autoencoder for Text Generation ACL 2019 Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks CVPR 2019 SYSTRAN @ WNGT 2019: DGT Task EMNLP 2019 Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks IJCAI 2019 Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis ICCV 2019 Task-Conditioned Variational Autoencoders for Learning Movement Primitives CoRL 2019 T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion IJCAI 2019 Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning AAAI 2019 Tensor Monte Carlo: Particle Methods for the GPU era NeurIPS 2019 TET-GAN: Text Effects Transfer via Stylization and Destylization AAAI 2019 Text2Scene: Generating Compositional Scenes From Textual Descriptions CVPR 2019 Text Guided Person Image Synthesis CVPR 2019 textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR ICLR 2019 Texture Fields: Learning Texture Representations in Function Space ICCV 2019 The continuous Bernoulli: fixing a pervasive error in variational autoencoders NeurIPS 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 The Level Weighted Structural Similarity Loss: A Step Away from MSE AAAI 2019 The LORACs Prior for VAEs: Letting the Trees Speak for the Data AISTATS 2019 Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019