Machine Learning
Multi-fidelity Data Aggregation using Convolutional Neural Networks
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Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing
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Weight-Agnostic Federated Neural Architecture Search
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Masked-Based Learning Method for Neural Network Multiple Task Adaption
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Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating
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Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference
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Cyber-Physical Interaction Aware Test Case Generation to Identify Operational Changes
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Multi-Aircraft Trajectory Prediction Using Bayesian Spatio-Temporal Graph Transformer Network
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Dynamic and Efficient Hardware/Software Codesigns of Deep Learning Accelerators
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Machine Learning Algorithm to Identify Macrostates & Design Microstates Consistent with Specific Macrostate
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