Neural Computing
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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Masked-Based Learning Method for Neural Network Multiple Task Adaption
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Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference
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Fracture Pattern Prediction with Random Microstructure using Deep Neural Network
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Time-Synchronized Topology and State Estimation in Real-Time Unobservable Distribution Systems
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Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization
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PathSeeker: A Fast-Mapping Algorithm for CGRAs
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Improving Shape Awareness and Interpretability in Deep Networks
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Binary Neural Network for Improved Accuracy and Defense Against Bit-Flip Attacks
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