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Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Learning
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Sound Event Annotation and Detection with Less Human Effort
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Building a Private Data Federation: Security and Privacy Guarantees for Distributed Analytics
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Biases as Values: Evaluating Algorithms in Context
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Synergy of Physics and Learning-based Models in Computational Imaging and Display
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Designing Flexible Coordination Systems to Advance Individual and Collective Goals in Physical Crowdsourcing
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Presenting the Self on Unstable Ground: Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms
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Learning under Adversarial Resilience
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Topics in Statistical Modeling for Unstructured Text Data with Application to Commonsense Inference
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Designing Assistive Technologies for Context-Specific Communication for People with Aphasia in Novel and Real-World Settings
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