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Facilitating Scientific Material Discovery via Deep Learning on Small Image Datasets
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Harnessing Incomplete, Noisy, and Multi-level Labels for Classification and Annotation Tasks
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Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect Pretrained Models
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Multi-modal Models for Depression Screening
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Strategies and Structures for Biological Datasets Integration and Knowledge Discovery
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Knowledge Amalgamation from Heterogeneous Pre-Trained Models
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Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sensed Data with Covariate-shifts
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Towards an End-to-End Training Data Management System for Machine Learning Models
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Frequent Pattern Mining Analytics
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Big Time Series Analytics Using a Distributed Infrastructure
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