Comparative study applies UCB-V, UCB-Tuned, UCB-Bayes and UCB-BwK to ADNN early-exit selection on ResNet and MobileViT using CIFAR-10/100, reporting sub-linear regret with UCB-Bayes fastest and UCB-V/UCB-Tuned best on accuracy-energy and accuracy-latency Pareto fronts.
Deep residual learni ng for image recognition,
2 Pith papers cite this work. Polarity classification is still indexing.
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The authors report scalable training of neural LMs from heterogeneous corpora for ASR second-pass rescoring, delivering 6.2% relative WER reduction with minimal latency increase.
citing papers explorer
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A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks
Comparative study applies UCB-V, UCB-Tuned, UCB-Bayes and UCB-BwK to ADNN early-exit selection on ResNet and MobileViT using CIFAR-10/100, reporting sub-linear regret with UCB-Bayes fastest and UCB-V/UCB-Tuned best on accuracy-energy and accuracy-latency Pareto fronts.
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Scalable Multi Corpora Neural Language Models for ASR
The authors report scalable training of neural LMs from heterogeneous corpora for ASR second-pass rescoring, delivering 6.2% relative WER reduction with minimal latency increase.