Computing & Information Technology

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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Policy-Governed Content Mediation Model for Mobile Augmented Reality Applications

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Cyber-Physical Interaction Aware Test Case Generation to Identify Operational Changes

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Probabilistic Consensus on Feature Distribution for Multi-Robot Systems

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Single-Cycle Processing-in-SRAM Logic Circuit Design

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Explainable Design Space Exploration for Efficient Hardware/Software Codesigns

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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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