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Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
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From Large to Small Datasets: Size Generalization for Clustering Algorithm Selection
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Learning Sequence Representations and Interpretable ML Models for Microbial Communities
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Cross-validation for Geospatial Problems
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Value-based Abstraction for Planning
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Reinforcement Learning from a Bayesian Perspective
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AI-in-the-loop for Health Care
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Lipstick on a Pig: Using Language Models as Few Shot Learners
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Integrated Planning and Reinforcement Learning for Compositional Domains
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Planning and Learning for Reliable Autonomy in the Open World
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Some Perspectives on Stochastic Gradient Learning and an Application to Neuroprosthesis
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Great Haste Makes Great Waste: Exploiting and Attacking Efficient Deep Learning
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The Data Pyramid for Generalist Agents
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AI Can Learn from Data. But Can it Learn to Reason?
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Data Science Consulting at AWS
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Reinforcement Learning with Exogenous States and Rewards
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Investigating Latent State and Uncertainty Representations in Reinforcement Learning
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Vulnerability and Robustness of Linear Bandits
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Show and tell us what you have accomplished since your last progress report (or since you started the project). Be open and honest!
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Understanding Multiview and Self-supervised Learning: A Nonlinear Mixture Identification Perspective
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Few Shot Object Segmentation
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Probabilistic Planning through the Lens of Approximate Inference
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Abstract The Center for Applied Systems and Software (CASS) is an experiential learning program for students. Our self-funded program provides hands-on learning for students on real world projects…
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Human-AI Collaboration for Content Generation and Machine Autonomy
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Heather Knight, Assistant Professor Computer Science Oregon State UniversityAbstract This talk will present work from the CHARISMA Robotics lab at Oregon State University, an acronym for…
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Weng-Keen Wong, ProfessorComputer ScienceOregon State University AbstractMany machine learning and data mining approaches focus on discovering predictive patterns in data. An equally important task…
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Advancing Global Food Security and Sustainable Development with Machine Learning and Earth Observations
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How to Train Your Robot to Stand, Walk, Run, Hop, and Skip
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Sanghyun Hong, Assistant ProfessorComputer ScienceOregon State University AbstractHow can we build secure and reliable deep learning systems, e.g., autonomous cars or AI-assisted robotic surgery,…
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Title: Learning Transferable Visiolinguistic RepresentationsPresenter: Stefan Lee Date: 11/17/2021
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Sandhya Saisubramanian, Assistant ProfessorComputer ScienceOregon State University AbstractThe increased deployment of artificial intelligence (AI) systems and their broad societal impacts brings…
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