Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks.
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods.
Bribery and Control in Stable Marriage.
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers.
Goal Recognition for Deceptive Human Agents through Planning and Gaze.
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies.
Declarative Algorithms and Complexity Results for Assumption-Based Argumentation.
Viewpoint: AI as Author - Bridging the Gap Between Machine Learning and Literary Theory.
Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility.
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set.
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation.
A Tight Bound for Stochastic Submodular Cover.
Representative Committees of Peers.
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases.
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges.
Set-to-Sequence Methods in Machine Learning: A Review.
Welfare Guarantees in Schelling Segregation.
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective.
Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition.
Playing Codenames with Language Graphs and Word Embeddings.
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
Intelligence in Strategic Games.
Multi-Document Summarization with Determinantal Point Process Attention.
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning.
Game Plan: What AI can do for Football, and What Football can do for AI.
On the Cluster Admission Problem for Cloud Computing.
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models.
Conceptual Modeling of Explainable Recommender Systems: An Ontological Formalization to Guide Their Design and Development.
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel.
Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems.
