CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients. Low-Cost Recurrent Neural Network Expected Performance Evaluation. When logic lays down the law. Linear-Time Constituency Parsing with RNNs and Dynamic Programming. Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphon …

RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces. Lightweight Convolutional Approaches to Reading Comprehension on SQuAD. Rethinking Machine Learning Development and Deployment for Edge Devices. Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition. LIT: Blo …

The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight. Cross-Domain Adversarial Auto-Encoder. Probabilistic Binary Neural Networks. Recurrent Skipping Networks for Entity Alignment. Laplacian Smoothing Gradient Descent. Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularit …

Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text. Varying image description tasks: spoken versus written descriptions. Creating a Translation Matrix of the Bible’s Names Across 591 Languages. Encoding Sentiment Information into Word Vectors for Sentiment Analysis. Named Entity Recognition With Parallel Recurrent N …

CRST: a Claim Retrieval System in Twitter. ArgumenText: Searching for Arguments in Heterogeneous Sources. DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors. Using the Nunavut Hansard Data for Experiments in Morphological Analysis and Machine Translation. Interactive Instance-based Evaluation of Knowledge Base Question Answerin …