deep learning

Marian: Fast Neural Machine Translation in C++ ACL 2018 Matching Adversarial Networks CVPR 2018 Maximum Principle Based Algorithms for Deep Learning JMLR 2018 MegaDepth: Learning Single-View Depth Prediction From Internet Photos CVPR 2018 Mesh-TensorFlow: Deep Learning for Supercomputers NeurIPS 2018 Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation ICLR 2018 Modeling Multi-turn Conversation with Deep Utterance Aggregation COLING 2018 Modulated Convolutional Networks CVPR 2018 Monitoring Infant's Emotional Cry in Domestic Environments Using the Capsule Network Architecture Interspeech 2018 Multi-Task Learning as Multi-Objective Optimization NeurIPS 2018 Noise2Noise: Learning Image Restoration without Clean Data ICML 2018 Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018 OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018 Phoneme-to-Articulatory Mapping Using Bidirectional Gated RNN Interspeech 2018 PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference CVPR 2018 PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation CVPR 2018 PointGrid: A Deep Network for 3D Shape Understanding CVPR 2018 PPFNet: Global Context Aware Local Features for Robust 3D Point Matching CVPR 2018 Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching NeurIPS 2018 Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope ICML 2018 Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back ICML 2018 Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference CVPR 2018 Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations JMLR 2018 Recurrent Slice Networks for 3D Segmentation of Point Clouds CVPR 2018 Regular Expression Guided Entity Mention Mining from Noisy Web Data EMNLP 2018