Classification

A distantly supervised dataset for automated data extraction from diagnostic studies ACL 2019 A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots IJCAI 2019 Adversarial examples from computational constraints ICML 2019 Adversarial Training for Satire Detection: Controlling for Confounding Variables NAACL 2019 Advocacy Learning: Learning through Competition and Class-Conditional Representations IJCAI 2019 A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes AAAI 2019 A Feasibility Test on Preventing PRMDs Based on Deep Learning AAAI 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 AFS: An Attention-Based Mechanism for Supervised Feature Selection AAAI 2019 A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation ALT 2019 A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees IJCAI 2019 AGRR 2019: Corpus for Gapping Resolution in Russian ACL 2019 A Hierarchical Location Prediction Neural Network for Twitter User Geolocation EMNLP 2019 A Hierarchically-Labeled Portuguese Hate Speech Dataset ACL 2019 A Hybrid Approach to Acoustic Scene Classification Based on Universal Acoustic Models Interspeech 2019 AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion IJCAI 2019 AIRD: Adversarial Learning Framework for Image Repurposing Detection CVPR 2019 A Japanese Word Segmentation Proposal ACL 2019 A Kernel Theory of Modern Data Augmentation ICML 2019 A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis EMNLP 2019 A Label Informative Wide & Deep Classifier for Patents and Papers EMNLP 2019 A Late Fusion CNN for Digital Matting CVPR 2019 A Lexicon-Based Graph Neural Network for Chinese NER EMNLP 2019 A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing Detection Interspeech 2019 All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously JMLR 2019