LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation. TabFact: A Large-scale Dataset for Table-based Fact Verification. U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. Background Suppression Network for Weakly-supervised Temporal Action Localization. Relational Word …

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions. Recursive Estimation for Sparse Gaussian Process Regression. Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings. A Benchmark for Anomaly Segmentation. Style Transfo …

Topological Machine Learning with Persistence Indicator Functions. Transient-evoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Meniere’s Disease. A Dataset of Multi-Illumination Images in the Wild. Weakly-supervised Action Localization with Background Modeling. A PolSAR Scattering Power Fac …

Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces. Principal Component Properties of Adversarial Samples. Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. Causal Belief Decomposition for Planning with Sensing: Completeness Results and Practical Approximation. Observe Before Play: Multi-armed B …

Knowledge-guided Text Structuring in Clinical Trials. Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring – The Winning Solution of the 2017 International Aftershock Detection Contest. Machine Truth Serum. Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. High-Resolutio …

Talk The Walk: Navigating Grids in New York City through Grounded Dialogue. Serial Recall Effects in Neural Language Modeling. Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages. Neural Machine Translation with Reordering Embeddings. Auditing Deep Learning processes through Kernel-based Explana …

TARGER: Neural Argument Mining at Your Fingertips. Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives. Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification. Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dim …

Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language. Leveraging Sublanguage Features for the Semantic Categorization of Clinical Terms. NEURAL MALWARE CONTROL WITH DEEP REINFORCEMENT LEARNING. Learning Auctions with Robust Incentive Guarantees. Temporal Structure Mining for Weakly Supervise …