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Early-exit neural networks (EENNs) enable adaptive and efficient inference by providing predictions at multiple stages during the forward pass.
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Branchynet: Fast inference via early exiting from deep neural networks
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Uncertainty sets for image classifiers using conformal prediction
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Time-uniform, nonparametric, nonasymptotic confidence sequences
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Adaptive inference through early-exit networks: Design, challenges and directions
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