Generative Models

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation CVPR 2019 Implicit Generation and Modeling with Energy Based Models NeurIPS 2019 Implicit Kernel Learning AISTATS 2019 Improved Conditional VRNNs for Video Prediction ICCV 2019 Improved Precision and Recall Metric for Assessing Generative Models NeurIPS 2019 Improving GAN with Neighbors Embedding and Gradient Matching AAAI 2019 Improving Generalization and Stability of Generative Adversarial Networks ICLR 2019 Improving Image Captioning with Conditional Generative Adversarial Nets AAAI 2019 Improving MMD-GAN Training with Repulsive Loss Function ICLR 2019 Improving Neural Machine Translation with Neural Syntactic Distance NAACL 2019 Improving Statute Prediction via Mining Correlations between Statutes ACML 2019 Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization ACL 2019 Information Theoretic lower bounds on negative log likelihood ICLR 2019 InfoVAE: Balancing Learning and Inference in Variational Autoencoders AAAI 2019 InGAN: Capturing and Retargeting the "DNA" of a Natural Image ICCV 2019 Insights from Building an Open-Ended Conversational Agent ACL 2019 InstaGAN: Instance-aware Image-to-Image Translation ICLR 2019 Instance-Guided Context Rendering for Cross-Domain Person Re-Identification ICCV 2019 Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019 Integer Discrete Flows and Lossless Compression NeurIPS 2019 Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Interspeech 2019 Invertible Convolutional Flow NeurIPS 2019 Invertible Residual Networks ICML 2019 Inverting Deep Generative models, One layer at a time NeurIPS 2019 Inverting Supervised Representations with Autoregressive Neural Density Models AISTATS 2019