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DyVEDeep: Dynamic Variable Effort Deep Neural Networks., , , and . CoRR, (2017)Workload-aware Automatic Parallelization for Multi-GPU DNN Training., , , , , and . CoRR, (2018)Efficacy of Pruning in Ultra-Low Precision DNNs., , and . ISLPED, page 1-6. IEEE, (2021)Efficient embedded learning for IoT devices., , and . ASP-DAC, page 308-311. IEEE, (2016)Dynamic Spike Bundling for Energy-Efficient Spiking Neural Networks., , , and . ISLPED, page 1-6. IEEE, (2019)Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing., , , and . DATE, page 145-150. IEEE, (2016)Scalable-effort classifiers for energy-efficient machine learning., , , and . DAC, page 67:1-67:6. ACM, (2015)PACT: Parameterized Clipping Activation for Quantized Neural Networks., , , , , and . CoRR, (2018)Exploiting approximate computing for deep learning acceleration., , , , and . DATE, page 821-826. IEEE, (2018)Workload-aware Automatic Parallelization for Multi-GPU DNN Training., , , , , and . ICASSP, page 1453-1457. IEEE, (2019)