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MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers
We present the MEMA framework for the easy and quick derivation of efficient inference runtimes that minimize external memory accesses for matrix multiplication on TinyML systems.
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
Based upon this observation, we propose a novel metric called Neural Mean Discrepancy (NMD), which compares neural means of the input examples and training data.
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