FAR substitutes self-attention in pretrained DeiTs with multi-head bidirectional LSTMs via block-wise distillation and structured pruning to enable IMC-compatible inference with comparable accuracy and lower latency.
A survey of reram-based architectures for processing-in-memory and neural networks.Machine Learning and Knowledge Extraction, 1
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FAR: Function-preserving Attention Replacement for IMC-friendly Inference
FAR substitutes self-attention in pretrained DeiTs with multi-head bidirectional LSTMs via block-wise distillation and structured pruning to enable IMC-compatible inference with comparable accuracy and lower latency.