machine learning

Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment AAAI 2022 Machine Learning for Utility Prediction in Argument-Based Computational Persuasion AAAI 2022 Method Entity Extraction from Biomedical Texts COLING 2022 Most NLG is Low-Resource: here’s what we can do about it EMNLP 2022 On the Robustness of Offensive Language Classifiers ACL 2022 On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations AAAI 2022 Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NeurIPS 2022 PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration RSS 2022 Rethinking Nonlinear Instrumental Variable Models through Prediction Validity JMLR 2022 Robustification of Online Graph Exploration Methods AAAI 2022 Role of Human-AI Interaction in Selective Prediction AAAI 2022 Scheduling with Untrusted Predictions IJCAI 2022 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable JMLR 2022 Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022 The Computational Gauntlet of Human-Like Learning AAAI 2022 The Perils of Learning Before Optimizing AAAI 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 With False Friends Like These, Who Can Notice Mistakes? AAAI 2022 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NeurIPS 2021 Abusive Language Recognition in Russian EACL 2021 Affect-Aware Machine Learning Models for Deception Detection AAAI 2021 A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021 Applied Machine Learning for Games: A Graduate School Course AAAI 2021 Approximate Data Deletion from Machine Learning Models AISTATS 2021 Automated Reasoning and Learning for Automated Payroll Management AAAI 2021