Models

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models ICLR 2018 Latent Space Oddity: on the Curvature of Deep Generative Models ICLR 2018 Learning a Generative Model for Validity in Complex Discrete Structures ICLR 2018 Learning Attractor Dynamics for Generative Memory NeurIPS 2018 Learning Compositional Visual Concepts With Mutual Consistency CVPR 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning Disentangled Joint Continuous and Discrete Representations NeurIPS 2018 Learning Face Age Progression: A Pyramid Architecture of GANs CVPR 2018 Learning From Noisy Web Data With Category-Level Supervision CVPR 2018 Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation CVPR 2018 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018 Learning Generative Models with Sinkhorn Divergences AISTATS 2018 Learning Hierarchical Semantic Image Manipulation through Structured Representations NeurIPS 2018 Learning Implicit Generative Models with the Method of Learned Moments ICML 2018 Learning Latent Subspaces in Variational Autoencoders NeurIPS 2018 Learning Neural Templates for Text Generation EMNLP 2018 Learning Plannable Representations with Causal InfoGAN NeurIPS 2018 Learning Representations and Generative Models for 3D Point Clouds ICML 2018 Learning semantic similarity in a continuous space NeurIPS 2018 Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NeurIPS 2018 Learning Sparse Latent Representations with the Deep Copula Information Bottleneck ICLR 2018 Learning to Automatically Generate Fill-In-The-Blank Quizzes ACL 2018 Learning to Decompose and Disentangle Representations for Video Prediction NeurIPS 2018 Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks EMNLP 2018 Learning to Extract a Video Sequence From a Single Motion-Blurred Image CVPR 2018