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AdaEE: Adaptive Early-Exit DNN Inference Through Multi-Armed Bandits., , , , , and . ICC, page 3726-3731. IEEE, (2023)Decision Early-Exit: An Efficient Approach to Hasten Offloading in BranchyNets., , , , and . LATINCOM, page 1-6. IEEE, (2022)Inference Time Optimization Using BranchyNet Partitioning., and . ISCC, page 1-6. IEEE, (2020)Redes Neurais Profundas com Saídas Antecipadas para Imagens com Distorção em Ambientes de Nuvem., , and . SBRC, page 532-545. (2023)Early-exit deep neural networks for distorted images: providing an efficient edge offloading., , and . GLOBECOM, page 1-6. IEEE, (2021)Particionamento de Redes Neurais Profundas com Saídas Antecipadas., and . SBRC Companion, page 169-176. (2021)Improving Image-recognition Edge Caches with a Generative Adversarial Network., , and . ICC, page 1918-1923. IEEE, (2022)Unlocking Early-Exiting Semantic Segmentation with Branched Networks., , , , and . LATINCOM, page 1-6. IEEE, (2023)Towards Edge Computing Using Early-Exit Convolutional Neural Networks., , , , and . Inf., 12 (10): 431 (2021)Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks., , and . CoRR, (2020)