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Found 3 papers, 1 papers with code
CEEBERT: Cross-Domain Inference in Early Exit BERT
Experimental results on five distinct datasets with BERT and ALBERT models demonstrate CeeBERT's ability to improve latency by reducing unnecessary computations with minimal drop in performance.
FAIR: Filtering of Automatically Induced Rules
The availability of large annotated data can be a critical bottleneck in training machine learning algorithms successfully, especially when applied to diverse domains.
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
The recent advances in Deep Neural Networks (DNNs) stem from their exceptional performance across various domains.
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