Deep Learning

Learning to Compare: Relation Network for Few-Shot Learning CVPR 2018 Learning to Control the Specificity in Neural Response Generation ACL 2018 Learning to Count Objects in Natural Images for Visual Question Answering ICLR 2018 Learning to Decompose and Disentangle Representations for Video Prediction NeurIPS 2018 Learning to Detect Features in Texture Images CVPR 2018 Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking NAACL 2018 Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks EMNLP 2018 Learning to Estimate 3D Human Pose and Shape From a Single Color Image CVPR 2018 Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks MLHC 2018 Learning to Extract a Video Sequence From a Single Motion-Blurred Image CVPR 2018 Learning to Find Good Correspondences CVPR 2018 Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks CVPR 2018 Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata NAACL 2018 Learning to Generate Word Representations using Subword Information COLING 2018 Learning to Infer Graphics Programs from Hand-Drawn Images NeurIPS 2018 Learning to Localize Sound Source in Visual Scenes CVPR 2018 Learning to Multitask NeurIPS 2018 Learning to Optimize Tensor Programs NeurIPS 2018 Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering NAACL 2018 Learning to Reason with Third Order Tensor Products NeurIPS 2018 Learning to Reconstruct Shapes from Unseen Classes NeurIPS 2018 Learning to Represent Programs with Graphs ICLR 2018 Learning to Round for Discrete Labeling Problems AISTATS 2018 Learning to See in the Dark CVPR 2018 Learning to Segment Inputs for NMT Favors Character-Level Processing EMNLP 2018