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Exploring Invariance in Single and Multi-modal Deep Representation Learning
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Acceleration Algorithms for Machine Learning Models
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Generating Graphs with Deep Learning and Graph Theory
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Mining User Generated Content: Addressing Data Scarcity in Filtering Tasks
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Deep Learning with Differential Privacy and Adversarial Robustness
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Temporal Irregular Tensor Factorization and Prediction for Health Data Analysis
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Computational discovery of interpretable histopathologic prognostic biomarkers in invasive carcinomas of the breast
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Knowledge-Aware User Intent Inference for Web Search and Conversational Agents
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Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance
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Predicting Rare Clinical Events in Complex and Dynamic Environments
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