Deep Learning

Large-scale Exploration of Neural Relation Classification Architectures EMNLP 2018 Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing ACL 2018 Large Scale Optimal Transport and Mapping Estimation ICLR 2018 Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs CVPR 2018 Latent Alignment and Variational Attention NeurIPS 2018 Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models ICLR 2018 Latent Space Oddity: on the Curvature of Deep Generative Models ICLR 2018 Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask IJCAI 2018 Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation NeurIPS 2018 LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image CVPR 2018 LC-RNN: A Deep Learning Model for Traffic Speed Prediction IJCAI 2018 LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018 Learning 3D Shape Completion From Laser Scan Data With Weak Supervision CVPR 2018 Learning 6-DoF Grasping and Pick-Place Using Attention Focus CoRL 2018 Learning a Discriminative Feature Network for Semantic Segmentation CVPR 2018 Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition CVPR 2018 Learning a Discriminative Prior for Blind Image Deblurring CVPR 2018 Learning a Generative Model for Validity in Complex Discrete Structures ICLR 2018 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Learning and Memorization ICML 2018 Learning and Using the Arrow of Time CVPR 2018 Learning a neural response metric for retinal prosthesis ICLR 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning Approximate Inference Networks for Structured Prediction ICLR 2018 Learning a Single Convolutional Super-Resolution Network for Multiple Degradations CVPR 2018