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Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset
While mainstream research primarily enhances class performance metrics, the hidden traits of bias inheritance in the AI models, class imbalances and disparities within the datasets are often overlooked.
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
The insights and vision from this survey can be beneficial for the collaborative driving service development on low-power and memory-constrained systems and also for the energy optimization of autonomous vehicles.
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