|
|
Inverse Constraint Learning and Risk-Averse Reinforcement Learning for Safe AI
|
|
|
When Sparse Data is All You Have: Learning World Models for Generalizable Planning and RL with a View Towards AI Asessment
|
|
|
Beth Filar Williams "Every Job Must Be a Climate Job" Strategic Partner Forum 4/22-4/23
|
|
|
Towards Safe and Actionable AI: Strategies for Robust Adaptation and Proactive Failure Detection
|
|
|
Towards AI-Powered 3D Reconstruction and Generation
|
|
|
AI for Software Engineering (AI4SE): Opportunities and Challenges
|
|
|
Learning Interpretable Models on Complex Medical Data
|
|
|
Symbolic AI 3.0: Raise of the Large Language Models
|
|
|
Self-driving Vehicles: A Cautionary Tale
|
|
|
AI-in-the-loop for Health Care
|
|
|
Towards more interpretable solutions for conservation problems
|
|
|
Designing Interactive AI for Writers
|
|
|
Planning and Learning for Reliable Autonomy in the Open World
|
|
|
The Data Pyramid for Generalist Agents
|
|
|
Symbols as Lingua Franca for Supporting Human-AI Interaction for Explainable and Advisable AI Systems
|
|
|
Responsibility in AI for Fair and Transparent Search and Recommender Systems
|
|
|
Alan Fern, Professor and Associate Head of ResearchElectrical Engineering and Computer ScienceOregon State University May 31, 2022 AbstractThe AgAID institute is a recently awarded National AI…
|
|
|
Advancing Global Food Security and Sustainable Development with Machine Learning and Earth Observations
|
|
|
Title: AI for Imperfect-Information Games: Poker and Beyond
|
|
|
Sandhya Saisubramanian, Assistant ProfessorComputer ScienceOregon State University AbstractThe increased deployment of artificial intelligence (AI) systems and their broad societal impacts brings…
|
