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Meta-ticket: Findingoptimalsubnetworksfor few-shotlearningwithinrandomlyinitialized neuralnetworks
Thecorrespondingfm (x) where means element-wise Rn.
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
However, there is limited theoretical analysis to understand the performance of prompt-based federated learning.
Uncertainty-awareSelf-trainingfor Few-shotTextClassification
Deep neural networks are the state-of-the-art for various applications. However,one of the biggest challenges facing them is the lack of labeled data to train these complex networks.
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
Nowadays integrated circuits (ICs) are underpinning all major information technology innovations including the current trends of artificial intelligence (AI).
POMO: PolicyOptimizationwithMultipleOptima forReinforcementLearning
We introduce Policy Optimization with Multiple Optima (POMO), anend-to-end approach forbuildingsuchaheuristic solver.POMO isapplicable to a wide range of CO problems.
Onthe Equivalencebetween Neural Networkand Support Vector Machine
Suppose l is -lipschitzand l-smoothforthefirstargument (i.e.