Adaptive Inference through Early-Exit Networks
Author:
Affiliation:
1. Samsung AI Center, Cambridge
2. Samsung AI Center, Cambridge and University of Cambridge
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3469116.3470012
Reference89 articles.
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2. Konstantin Berestizshevsky et al. 2019. Dynamically sacrificing accuracy for reduced computation: Cascaded inference based on softmax confidence. In ICANN. Konstantin Berestizshevsky et al. 2019. Dynamically sacrificing accuracy for reduced computation: Cascaded inference based on softmax confidence. In ICANN.
3. Do convolutional neural networks learn class hierarchy;Alsallakh Bilal;IEEE Transactions on Visualization and Computer Graphics,2017
4. Sanyuan Chen et al. 2021. Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer. In ICASSP. Sanyuan Chen et al. 2021. Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer. In ICASSP.
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