Deep Learning

Exploring Optimism and Pessimism in Twitter Using Deep Learning EMNLP 2018 Extracting Entities and Relations with Joint Minimum Risk Training EMNLP 2018 Fast Parametric Learning with Activation Memorization ICML 2018 Functional Map of the World CVPR 2018 Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes CVPR 2018 Generating Topic-Oriented Summaries Using Neural Attention NAACL 2018 Gesture Recognition: Focus on the Hands CVPR 2018 Gradient Descent for Spiking Neural Networks NeurIPS 2018 Handling Homographs in Neural Machine Translation NAACL 2018 HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets EMNLP 2018 Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates EMNLP 2018 Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning Approach ACL 2018 Image-level to Pixel-wise Labeling: From Theory to Practice IJCAI 2018 Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models Interspeech 2018 Improving Neural Program Synthesis with Inferred Execution Traces NeurIPS 2018 Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation NAACL 2018 Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation Interspeech 2018 InverseFaceNet: Deep Monocular Inverse Face Rendering CVPR 2018 Japanese Predicate Conjugation for Neural Machine Translation NAACL 2018 Learning 3D Shape Completion From Laser Scan Data With Weak Supervision CVPR 2018 Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing NAACL 2018 Learning Convolutional Networks for Content-Weighted Image Compression CVPR 2018 Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition CVPR 2018 Learning to Find Good Correspondences CVPR 2018 Learning to See in the Dark CVPR 2018