Machine Learning, Including Reinforcement Learning, Federated Learning, Continual Learning, Self-Supervised Learning, Meta Learning, Few Shot Learning, Causal Learning, Uncertainty Quantification and Calibration
1 faculty research Machine Learning, Including Reinforcement Learning, Federated Learning, Continual Learning, Self-Supervised Learning, Meta Learning, Few Shot Learning, Causal Learning, Uncertainty Quantification and Calibration on GradNova.
Applications of Machine Learning in Natural Language Processing (conversational Agents, Grammar Error Correction, Automated Text Editing) and Material Design (bayesian Optimization of Catalysts, Oxygen Carriers and Other Materials to Facilitate Desirable Chemical Reactions for Co2 Conversion and Co2 Capture)
Machine Learning, Including Reinforcement Learning, Federated Learning, Continual Learning, Self-Supervised Learning, Meta Learning, Few Shot Learning, Causal Learning, Uncertainty Quantification and Calibration
Reinforcement Learning in Robotics
Topic Modeling
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