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Dynamic Local Regret for Non-convex Online Forecasting
Sergul Aydore, Tianhao Zhu, Dean P. Foster
Neural Information Processing Systems http://nips.cc/
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Window-Based Distribution Shift Detection for Deep Neural Networks
Based on this bound, our detector continuously monitors the operation of the network over a test window and fires off an alarm whenever a deviation is detected.
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2 Approach 2.1 ProblemFormulation MostofexistingNASmethodscanbeformulatedasaconstrainedoptimizationproblemas: α A=argmin
Remarkably, the searched models, named S3 (short forSearching the Search Space), from the searched space achievesuperior performance torecently proposed models, such as Swin, DeiT and ViT, when evaluated on ImageNet.
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