A profiling-guided, LLM-driven framework combines structured pruning and mixed-precision quantization-aware training, reporting 13-18x bit-operation reductions with modest accuracy loss on ImageNet and CIFAR-10.
White blood cell classification: Convolutional neural network (cnn) and vision transformer (vit) under medical microscope.Algorithms, 16(11):525, 2023
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APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning
A profiling-guided, LLM-driven framework combines structured pruning and mixed-precision quantization-aware training, reporting 13-18x bit-operation reductions with modest accuracy loss on ImageNet and CIFAR-10.