E2CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning

Author:

Gormez Alperen1,Dasari Venkat R.2,Koyuncu Erdem1

Affiliation:

1. University of Illinois,Chicago

2. CCDC US Army Research Laboratory

Funder

Army Research Lab (ARL)

National Science Foundation (NSF)

Publisher

IEEE

Reference41 articles.

1. Separation and concentration in deep networks;zarka;ArXiv Preprint,2020

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5. Siamese neural networks for one-shot image recognition;koch;ICML Deep Learning Workshop,0

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2. Federated Momentum Contrastive Clustering;ACM Transactions on Intelligent Systems and Technology;2024-06-18

3. Class Based Thresholding in Early Exit Semantic Segmentation Networks;IEEE Signal Processing Letters;2024

4. Model-Distributed Inference in Multi-Source Edge Networks;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

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