most citedCRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation

6 citations · 9 across the 2 of their papers we have counts for

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cs.LG2026★ 3 cited

EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems

Shuo Huai, Hao Kong, Shiqing Li +5

Edge devices are increasingly utilized for deploying deep learning applications on embedded systems. The real-time nature of many applications and the limited resources of edge dev…