Generative Models

Learning to Control the Fine-grained Sentiment for Story Ending Generation ACL 2019 Learning to Decipher Hate Symbols NAACL 2019 Learning to Extract Flawless Slow Motion From Blurry Videos CVPR 2019 Learning to Groove with Inverse Sequence Transformations ICML 2019 Learning to Infer Implicit Surfaces without 3D Supervision NeurIPS 2019 Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis NeurIPS 2019 Learning Vine Copula Models for Synthetic Data Generation AAAI 2019 Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images MIDL 2019 Learning Words by Drawing Images CVPR 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Leveraging the Invariant Side of Generative Zero-Shot Learning CVPR 2019 Lifelong GAN: Continual Learning for Conditional Image Generation ICCV 2019 Likelihood Ratios for Out-of-Distribution Detection NeurIPS 2019 Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading AAAI 2019 l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement ICCV 2019 Long and Diverse Text Generation with Planning-based Hierarchical Variational Model EMNLP 2019 Loss Landscapes of Regularized Linear Autoencoders ICML 2019 M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding Interspeech 2019 MaCow: Masked Convolutional Generative Flow NeurIPS 2019 MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders ICLR 2019 Make a Face: Towards Arbitrary High Fidelity Face Manipulation ICCV 2019 Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets AAAI 2019 Mask-Guided Portrait Editing With Conditional GANs CVPR 2019 Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data ICCV 2019 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019